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Dengue is a prominent viral disease transmitted by mosquitoes to humans that affects mainly tropical and subtropical countries worldwide. The global spread of dengue virus (DENV) is mainly occurred by Aedes aegypti and Aedes albopictus mosquitoes. The dengue virus serotypes-2 (DENV-2) is a widely prevalent serotype of DENV, that causes the hemorrhagic fever and bleeding in the mucosa, which can be fatal. In the life cycle of DENV-2, a structural capsid (DENV-2 C) protein forms the nucleocapsid assembly and bind to the viral progeny RNA. For DENV-2 maturation, the nucleocapsid is a vital component. We used virtual ligand screening to filter out the best in-house synthesized acridinedione analogs (DSPD molecules) that could efficiently bind to DENV-2 C protein. The molecular docking and dynamics simulations studies were performed to analyze the effect of DSPD molecules on DENV-2 C protein after binding. Our findings showed that DSPD molecules strongly interacted with DENV-2 C protein, as evident from molecular interactions and several time-dependent molecular dynamics-driven analyses. Moreover, this study was also supported by the thermodynamic binding free energy and steered molecular dynamics simulations. Therefore, we intend to suggest that the DSPD3 molecule could be used as a potential therapeutic molecule against dengue complications as compared to the cocrystallized inhibitor ST-148. However, further studies are required to demonstrate the ability of DSPD3 to induce DENV-2 C tetramer formation.

The quick widespread of the coronavirus and speedy upsurge in the tally of cases demand the fast development of effective drugs. The uridine-directed endoribonuclease activity of nonstructural protein 15 (Nsp15) of the coronavirus is responsible for the invasion of the host immune system. Therefore, developing potential inhibitors against Nsp15 is a promising strategy. In this concern, the in silico approach can play a significant role, as it is fast and cost-effective in comparison to the trial and error approaches of experimental investigations. In this study, six turmeric derivatives (curcuminoids) were chosen for in silico analysis. The molecular interactions, pharmacokinetics, and drug-likeness of all the curcuminoids were measured. Further, the stability of Nsp15-curcuminoids complexes was appraised by employing molecular dynamics (MD) simulations and MM-PBSA approaches. All the molecules were affirmed to have strong interactions and pharmacokinetic profile. The MD simulations data stated that the Nsp15-curcuminoids complexes were stable during simulations. All the curcuminoids showed stable and high binding affinity, and these curcuminoids could be admitted as potential modulators for Nsp15 inhibition.

MEK1 is an attractive target due to its role in selective extracellular-signal-regulated kinase phosphorylation, which plays a pivotal role in regulating cell proliferation. Another benefit of targeting the MEK protein is its unique hydrophobic pocket that can accommodate highly selective allosteric inhibitors. To date, various MEK1 inhibitors have reached clinical trials against several cancers, but they were discarded due to their severe toxicity and low efficacy. Thus, the development of allosteric inhibitors for MEK1 is the demand of the hour. In this in-silico study, molecular docking, long-term molecular dynamics (5 µs), and molecular mechanics Poisson-Boltzmann surface area analysis were undertaken to address the potential of quinolines as allosteric inhibitors. We selected four reference MEK1 inhibitors for the comparative analysis. The drug-likeness and toxicity of these molecules were also examined based on their ADMET and Toxicity Prediction by Komputer Assisted Technology profiles. The outcome of the analysis revealed that the quinolines (4m, 4o, 4s, and 4n) exhibited better stability and binding affinity while being nontoxic compared to reference inhibitors. We have reached the conclusion that these quinoline molecules could be checked by experimental studies to validate their use as allosteric inhibitors against MEK1.

The proliferating cell nuclear antigen (PCNA) has emerged as a promising candidate for the development of novel cancer therapeutics. PCNA is a nononcogenic mediator of DNA replication that regulates a diverse range of cellular functions and pathways through a comprehensive list of protein-protein interactions. The hydrophobic binding pocket on PCNA offers an opportunity for the development of inhibitors to target various types of cancers and modulate protein-protein interactions. In the present study, we explored the binding modes and affinity of molecule I1 (standard molecule) with the previously suggested dimer interface pocket and the hydrophobic pocket present on the frontal side of the PCNA monomer. We also identified potential lead molecules from the library of in-house synthesized 3-methylenisoindolin-1-one based molecules to inhibit the protein-protein interactions of PCNA. Our results were based on robust computational methods, including molecular docking, conventional, steered, and umbrella sampling molecular dynamics simulations. Our results suggested that the standard inhibitor I1 interacts with the hydrophobic pocket of PCNA with a higher affinity than the previously suggested binding site. Also, the proposed molecules showed better or comparable binding free energies as calculated by the Molecular Mechanics Poisson-Boltzmann Surface Area (MMPBSA) approach and further validated by enhanced umbrella sampling simulations. In vitro and in vivo methods could test the computationally suggested molecules for advancement in the drug discovery pipeline.

Aurora A is a mitotic serine/threonine kinase protein that is a proposed target of the first-line anticancer drug design. It has been found to be overexpressed in many human cancer cells, including hematological, breast, and colorectal. Here, we focus on a particular somatic mutant S155R of Aurora kinase A protein, whose activity decreases because of loss of interaction with a TPX2 protein that results in ectopic expression of the Aurora kinase A protein, which contributes chromosome instability, centrosome amplification, and oncogenic transformation. The primary target of this study is to select a drug molecule whose binding results in gaining S155R mutant interaction with TPX2. The computational methodology applied in this study involves mapping of hotspots (for uncompetitive binding), virtual screening, protein-ligand docking, postdocking optimization, and protein-protein docking approach. In this study, we screen and validate ZINC968264, which acts as a potential molecule that can improve the loss of function occurred because of mutation (S155R) in Aurora A. Our approaches pave a suitable path to design a potential drug against physiological condition manifested because of S155R mutant in Aurora A.

Gliomas are lethal and aggressive form of brain tumors with resistance to conventional radiation and cytotoxic chemotherapies; inviting continuous efforts for drug discovery and drug delivery. Interestingly, small molecule hybrids are one such pharmacophore that continues to capture interest owing to their pluripotent medicinal effects. Accordingly, we earlier reported synthesis of potent Styryl-cinnamate hybrids (analogues of Salvianolic acid F) along with its plausible mode of action (MOA). We explored iTRAQ-LC/MS-MS technique to deduce differentially expressed landscape of native & phospho-proteins in treated glioma cells. Based on this, Protein-Protein Interactome (PPI) was looked into by employing computational tools and further validated in vitro. We hereby report that the Styryl-cinnamate hybrid, an analogue of natural Salvianolic acid F, alters key regulatory proteins involved in translation, cytoskeleton development, bioenergetics, DNA repair, angiogenesis and ubiquitination. Cell cycle analysis dictates arrest at G0/G1 stage along with reduced levels of cyclin D; involved in G1 progression. We discovered that Styryl-cinnamate hybrid targets glioma by intrinsically triggering metabolite-mediated stress. Various oncological circuits alleviated by the potential drug candidate strongly supports the role of such pharmacophores as anticancer drugs. Although, further analysis of SC hybrid in treating xenografts or solid tumors is yet to be explored but their candidature has gained huge impetus through this study. This study equips us better in understanding the shift in proteomic landscape after treating glioma cells with SC hybrid. It also allows us to elicit molecular targets of this potential drug before progressing to preclinical studies.

Superoxide dismutase (SOD) leads the front line of defense against injuries mediated by the reactive oxygen species (ROS). The SOD from a high-altitude plant Potentilla atrosanguinea is a unique thermostable enzyme. In this study, we applied a structure-guided consensus approach on Cu,Zn SOD from Potentilla atrosanguinea plant, to improve its enzymatic properties. The polar uncharged amino acid (threonine) at position 97 of wild-type (WT) SOD was selected as a target residue for substitution by aspartate (T97D) through site-directed mutagenesis. The WT and T97D were examined by a combinative approach consisting of robust computational and experimental tools. The in-silico analysis indicated improved dimeric stability in T97D as compared to the WT. The strong interactions between the monomers were related to improved dimerization and enhanced catalytic efficiency of T97D. These results were validated by in-vitro assays showing improved dimer stability and catalytic efficiency in T97D than WT. Moreover, the mutation also improved the thermostability of the enzyme. The combined structural and functional data described the basis for improved specific activity and thermostability. This study could expand the scope of interface residue to be explored as targets for designing of SODs with improved kinetics.

The proliferating cell nuclear antigen (PCNA) is a multipurpose nuclear protein in almost every form of life. It plays a significant role as a part of the mechanism for DNA replication and DNA repair process. Owing to its multi-functional role inside the cell, PCNA is often referred as the ringmaster of the genome or the maestro of the replication fork. PCNA was suggested for anticancer therapy as a potential non-oncogenic target. In this study, a set of bioactive molecules was screened to identify molecules that could effectively bind to the target site on PCNA and alter its protein–protein interactions. A combined computational approach consisting of molecular interactions, thermodynamics free energy estimations by the Molecular Mechanics Poisson-Boltzmann Surface Area (MM-PBSA) calculations, conventional and steered MD simulations were utilized to identify potential inhibitors of PCNA. Our robust computational approach suggested two bioactive molecules, Hypericin and Pseudohypericin, from plant Hypericum perforatum as more potent inhibitors of PCNA than the standard co-crystallized inhibitor. These molecules could be developed as modulators of PCNA protein–protein interactions and effective anticancer drugs. These results, however, require validation by appropriate experimental studies.

From bacteria to mammals, DNA mismatch repair (MMR) pathway plays an essential role in eliminating mismatched nucleotides and insertion-deletion mismatches during the process of DNA replication. Among many of the proteins which participate in the mismatch repair process, proliferating cell nuclear antigen (PCNA) remains the principal conductor at the replication fork. The pol30-201 and pol30-204 are the two mutated alleles which encode for C22Y and C81R mutant forms of PCNA proteins. We performed long term molecular dynamics (MD) simulations analysis (0.8 μs) to understand the dynamic behavior and alterations in the structure of wild type and mutated forms of PCNA at the atomic level. We observed changes in the structural characteristics like length, radius, rise per residue of alpha helices in both the mutated forms of PCNA. Apart from it, disfigurement of the charge distribution which effects binding with the dsDNA due to mutant C22Y and other structural perturbations were also seen in regions significant for the formation of a biologically active trimeric form of PCNA due to mutant C81R. Our analysis of native and mutated forms of PCNA provides an insight into the essential structural and functional features required for proper and well-coordinated DNA mismatch repair process and consequences of the mutation leading to an impaired process of MMR. These structural characteristics are fundamental for the MMR process and hence our analysis likely contributes to or presents the novel mechanism involved in the process of MMR.Communicated by Ramaswamy H. Sarma.

Activators of peroxisome proliferator-activated receptor-γ (PPARγ agonists) are therapeutically promising candidates against insulin resistance and hyperglycemia. Synthetic PPARγ agonists are known to effectively enhance insulin sensitivity, but these are also associated with adverse side-effects and rising cost of treatment. Therefore, natural PPARγ targeting ligands are desirable alternatives for the management of insulin resistance associated with type 2 diabetes. Phloretin (PT) and Phloridzin (PZ) are predominant apple phenolics, which are recognized for their various pharmacological functions. The present study assessed the potential of PT and PZ in enhancing insulin sensitivity and glucose uptake by inhibiting Cdk5 activation and corresponding PPARγ phosphorylation in differentiated 3T3L1 cells. In silico docking and subsequent validation using 3T3L1 cells revealed that PT and PZ not only block the ser273 site of PPARγ but also inhibit the activation of Cdk5 itself, thereby, indicating their potent PPARγ regulatory attributes. Corroborating this, application of PT and PZ significantly enhanced the accumulation of cellular triglycerides as well as expression of insulin-sensitizing genes in adipocytes ultimately resulting in improved glucose uptake. Taken together, the present study reports that PT and PZ inhibit Cdk5 activation, which could be directly influencing the apparent PPARγ inhibition at ser273, ultimately resulting in improved insulin sensitivity and glucose uptake.

Oculocutaneous albinism type IV (OCA4) is an autosomal recessive inherited disorder which is characterized by reduced biosynthesis of melanin pigmentation in skin, hair, and eyes and caused by the genetic mutations in the membrane-associated transporter protein (MATP) encoded by SLC45A2 gene. The MATP protein consists of 530 amino acids which contains 12 putative transmembrane domains and plays an important role in pigmentation and probably functions as a membrane transporter in melanosomes. We scrutinized the most OCA4 disease-associated mutation and their structural consequences on SLC45A2 gene. To understand the atomic arrangement in 3D space, the native and mutant structures were modeled. Further the structural behavior of native and mutant MATP protein was investigated by molecular dynamics simulation (MDS) approach in explicit lipid and water background. We found Y317C as the most deleterious and disease-associated SNP on SLC45A2 gene. In MDS, mutations in MATP protein showed loss of stability and became more flexible, which alter its structural conformation and function. This phenomenon has indicated a significant role in inducing OCA4. Our study explored the understanding of molecular mechanism of MATP protein upon mutation at atomic level and further helps in the field of pharmacogenomics to develop a personalized medicine for OCA4 disorder. J. Cell. Biochem. 117: 2608-2619, 2016. © 2016 Wiley Periodicals, Inc.

Huntington's disease (HD) is a neurodegenerative disorder that is caused by an abnormal elongation of the polyglutamine (polyQ) chain in the Huntington (Htt) protein. At present, the normal function of Htt of neurons as well as the mechanism by which selective neurodegeneration is caused by the expanded polyQ chain in Htt remains ambiguous. A gain of function as a result of the elongated polyQ chain can lead to abnormal interaction of the Htt protein with its interacting partners, thereby resulting in the neuropathological changes seen in the Huntington's disease. Recent research indicates protein kinase C and casein kinase substrate in neurons protein 1 (PACSIN1) as one of the interacting partners of Htt protein. It has proven experimentally that the mutant Htt and PACSIN1 formed aggregates in the cytoplasm. This aggregation is believed to be a cause for Huntington's disease. In our study, we performed in silico investigations to predict the biomolecular mechanism of Htt/PACSIN1 interaction that could be one of the major triggers of the disease. Biomolecular interaction and molecular dynamics simulation analysis were performed to understand the dynamic behavior of native and mutant structures at the atomic level. Mutant Htt showed more interaction with its biological partner than the native Htt due to its expansion of interaction surface and flexible nature of binding residues. Our investigation of native and mutant Htt clearly shows that the structural and functional consequences of the polyQ elongation cause HD. Because of the central role of the Htt-PACSIN1 complex in maintaining connections between neurons, these differences likely contribute to the mechanism responsible for HD progression.

In this study, we analyzed Coat protein (CP) of Apple chlorotic leaf spot virus (ACLSV), an important latent virus on Apple. Incidence of the virus is upto 60% in various apple cultivars, affecting yield losses of the order of 10–40% (depending upon the cultivar). CP plays an important role as the sole building block of the viral capsid. Homology approach was used to model 193 amino acid sequence of the coat protein. We used various servers such as ConSurf, TargetS, OSML, COACH, COFACTOR for the prediction of active site residues in coat protein. Virtual screening strategy was employed to search potential inhibitors for CP. Top twenty screened molecules considered for drugability, and toxicity analysis and one potential molecule was further analyzed by docking analysis. Here, we reported a potent molecule which could inhibit the formation of viron assembly by targeting the CP protein of virus.

The CEP genes play a pivotal role in the replication of the cell. CEP family proteins form the major constituents of the centrosome and play a prominent role in centriole biogenesis and in cell replication. Alteration in CEP genes will result in disruption of cell cycle that may in turn cause cancer. In our study, we found that 16 of the CEP genes are a potential target to miRNA that binds to complementary sequences in 3'untranslated regions (UTR) of mRNA and stop them from translation. Single nucleotide polymorphisms (SNPs) occurring naturally in such miRNA binding site can alter the miRNA: mRNA interaction and can significantly alter gene expression. We developed a systematic computational pipeline that integrates data from well-established databases, followed stringent selection criteria and identified a panel of 44 high-confidence SNPs that may impair miRNA target sites in the 3'UTR of 16 genes. Further we performed expression analysis to shed light on the potential tissues that might be affected by mutation, enrichment analysis to find the metabolic functions of the gene, and network analysis to highlight the important interactions of CEP genes with other genes to provide insight that complex network will be disturbed upon mutation. In this study, we explored and prioritised the SNPs in CEP gene which could act as a potential target in centrosome-associated human disease. Our analysis would provide a thoughtful insight to wet lab researches to understand the expression pattern of CEP genes and binding phenomenon of mRNA and miRNA upon mutation, which is responsible for inhibition of translation process at genomic levels.

Albinism is an autosomal recessive genetic disorder due to low secretion of melanin. The oculocutaneous albinism (OCA) and ocular albinism (OA) genes are responsible for melanin production and also act as a potential targets for miRNAs. The role of miRNA is to inhibit the protein synthesis partially or completely by binding with the 3'UTR of the mRNA thus regulating gene expression. In this analysis, we predicted the genetic variation that occurred in 3'UTR of the transcript which can be a reason for low melanin production thus causing albinism. The single nucleotide polymorphisms (SNPs) in 3'UTR cause more new binding sites for miRNA which binds with mRNA which leads to inhibit the translation process either partially or completely. The SNPs in the mRNA of OCA and OA genes can create new binding sites for miRNA which may control the gene expression and lead to hypopigmentation. We have developed a computational procedure to determine the SNPs in the 3'UTR region of mRNA of OCA (TYR, OCA2, TYRP1 and SLC45A2) and OA (GPR143) genes which will be a potential cause for albinism. We identified 37 SNPs in five genes that are predicted to create 87 new binding sites on mRNA, which may lead to abrogation of the translation process. Expression analysis confirms that these genes are highly expressed in skin and eye regions. It is well supported by enrichment analysis that these genes are mainly involved in eye pigmentation and melanin biosynthesis process. The network analysis also shows how the genes are interacting and expressing in a complex network. This insight provides clue to wet-lab researches to understand the expression pattern of OCA and OA genes and binding phenomenon of mRNA and miRNA upon mutation, which is responsible for inhibition of translation process at genomic levels.

Centrosomes are the vital component of cell cycle progression pathway. Recent investigations have suggested their role in regulating the immune response system. Centrosome polarization delivers secretory granules to the immunological synapse (IS). The Cytotoxic T lymphocytes use a specific mechanism, controlled by centrosome delivery to the plasma membrane for delivering the secretory granules to the immunological synapse. Moreover, the polarization of centrioles to the immunological synapse directs secretion from cytolytic cells of innate as well as adaptive immune systems. Although the recent investigations have suggested their strong role in mediating the crucial events of immunological response, there are few discrepancies that are yet to be resolved. Furthermore, a clear picture of their molecular mechanism along with their cellular functions has not been reported. In this manuscript we have reviewed some important points that explain the importance of centrosomes in mediating the immunological signals and the delivery of lytic discharge from the cytotoxic and killer cells.

The computational approaches in determining disease-associated Non-synonymous single nucleotide polymorphisms (nsSNPs) have evolved very rapidly. Large number of deleterious and disease-associated nsSNP detection tools have been developed in last decade showing high prediction reliability. Despite of all these highly efficient tools, we still lack the accuracy level in determining the genotype-phenotype association of predicted nsSNPs. Furthermore, there are enormous questions that are yet to be computationally compiled before we might talk about the prediction accuracy. Earlier we have incorporated molecular dynamics simulation approaches to foster the accuracy level of computational nsSNP analysis roadmap, which further helped us to determine the changes in the protein phenotype associated with the computationally predicted disease-associated mutation. Here we have discussed on the present scenario of computational nsSNP characterization technique and some of the questions that are crucial for the proper understanding of pathogenicity level for any disease associated mutations.

Computational prediction of disease-associated non-synonymous polymorphism (nsSNP) has provided a significant platform to filter out the pathological mutations from large pool of SNP datasets at a very low cost input. Several methodologies and complementary protocols have been previously implemented and has provided significant prediction results. Although the previously implicated prediction methods were capable of investigating the most likely deleterious nsSNPs, but due to the lack of genotype-phenotype association analysis, the prediction results lacked in accuracy level. In this work we implemented the computational compilation of protein conformational changes as well as the probable disease-associated phenotypic outcomes. Our result suggested E403K mutation in mitotic centromere-associated kinesin protein as highly damaging and showed strong concordance to the previously observed colorectal cancer mutations aggregation tendency and energy value changes. Moreover, the molecular dynamics simulation results showed major loss in conformation and stability of mutant N-terminal kinesin-like domain structure. The result obtained in this study will provide future prospect of computational approaches in determining the SNPs that may affect the native conformation of protein structure and lead to cancer-associated disorders.

CK1δ (Casein kinase I isoform delta) is a member of CK1 kinase family protein that mediates neurite outgrowth and the function as brain-specific microtubule-associated protein. ATP binding kinase domain of CK1δ is essential for regulating several key cell cycle signal transduction pathways. Mutation in CK1δ protein is reported to cause cancers and affects normal brain development. S97C mutation in kinase domain of CK1δ protein has been involved to induce breast cancer and ductal carcinoma. We performed molecular docking studies to examine the effect of this mutation on its ATP-binding affinity. Further, we conducted molecular dynamics simulations to understand the structural consequences of S97C mutation over the kinase domain of CK1δ protein. Docking results indicated the loss of ATP-binding affinity of mutant structure, which were further rationalized by molecular dynamics simulations, where a notable loss in 3-D conformation of CK1δ kinase domain was observed in mutant as compared to native. Our results explained the underlying molecular mechanism behind the observed cancer associated phenotype caused by S97C mutation in CK1δ protein.

Centrosomes are the key-regulating element of cell cycle progression. Aberrations in their functional mechanism lead to several cancer-related disorders. Aurora A protein is a centrosome-associated protein that regulates the centriole duplication and its abberations are associated with multiple cases of aneuploidy and cancer-related disorders. S155R mutation in Aurora A is reported to induce cancer like phenotype and disrupt its binding with TPX2 protein. In this study, we have demonstrated the structural consequences of Aurora A S155R mutation and the atomic changes that influenced the loss of TPX2-binding affinity. Docking and molecular dynamics simulation results suggested significant loss in atomic contacts between mutant Aurora A and TPX2 protein. Further, we observed a notable changes in conformation of mutant Aurora A-TPX2 docked complex as compared to the native. Loss of binding affinity rendered the TPX2 domain free which then induced unfolding in its coiled region and enabled the overall expansion of mutant complex as compared to the native. The significant outcomes obtained from this study will facilitate in future cancer researches and in developing the potent drug therapies.

Genetic variations in oncogenes can often promote uncontrolled cell proliferation by altering the structure of the encoded protein, thereby altering its function. The PI3KCA oncogene that encodes for p110α, the catalytic subunit of phosphatidylinositol 3-kinase (PI3K), is one the most frequently mutated oncogenes in humans. PI3K plays a pivotal role in cell division. PI3K consists of two subunits: the catalytic (p110α) and regulatory (p85α). The regulatory subunit usually controls the catalytic subunit and switches off the enzyme when not required. It is believed that mutations in PI3KCA gene can alter the control of p85α over p110α and can sustain p110α in a prolonged active state. This in turn results in uncontrolled cell division. In this study, we investigate the pathogenic role of two point mutations: E542K and E545K on p110α subunit and how they alter its binding with the regulatory subunit. Molecular interaction and molecular dynamic simulation analysis are performed to study the dynamic behaviour of native and mutant structures at atomic level. Mutant p110α showed less interaction with its regulatory partner p85α than the native did, due to its expanded and rigid structure. Our analysis clearly points out that the structural and functional consequences of the mutations could promote tumour proliferation.

Lamin A/C proteins are the major components of a thin proteinaceous filamentous meshwork, the lamina, that underlies the inner nuclear membrane. A few specific mutations in the lamin A/C gene cause a disease with remarkably different clinical features: FPLD, or familial partial lipodystrophy (Dunnigan-type), which mainly affects adipose tissue. Lamin A/C mutant R482W is the key variant that causes FPLD. Biomolecular interaction and molecular dynamics (MD) simulation analysis were performed to understand dynamic behavior of native and mutant structures at atomic level. Mutant lamin A/C (R482W) showed more interaction with its biological partners due to its expansion of interaction surface and flexible nature of binding residues than native lamin A/C. MD simulation clearly indicates that the flexibility of interacting residues of mutant are mainly due to less involvement in formation of inter and intramolecular hydrogen bonds. Our analysis of native and Mutant lamin A/C clearly shows that the structural and functional consequences of the mutation R482W causes FPLD. Because of the pivotal role of lamin A/C in maintaining dynamics of nuclear function, these differences likely contribute to or represent novel mechanisms in laminopathy development.

Huntington's disorder (HD), caused by mutations of the IT-15 gene, is an autosomal genetic disease that causes the breakdown of the nerve cells in the brain. The IT-15 gene encodes the huntingtin (Htt) protein. Htt, along with its interacting partners, are involved in maintaining proper communication among neurons. Our work is based on the interaction behavior between Htt (in three polyglutamine (polyQ) states that is Htt 0Q, 17Q and 36Q) and SH3GL3 interacting protein by using computational methods. We used the HADDOCK docking platform to find out the extent of interaction between Htt polyQ models and SH3GL3. The Htt36Q (mutated) showed higher interaction than Htt17Q (native) with SH3GL3. Molecular dynamics simulation was performed to uncover the structural fluctuations of polyQ models and their complexes. RMSD, Rg, SASA, and total interaction energy graph showed significant results, where as mutant Htt showed higher fluctuations and flexibility than native Htt. The increase in the length of polyQ was found to affect the stability, flexibility, and compactness of the protein and its complex. Our research provided a propitious approach to understand the consequence of polyglutamination in Htt and its relation with HD.

AKT1, a serine/threonine-protein kinase also known as AKT kinase, is involved in the regulation of various signalling downstream pathways including metabolism, cell proliferation, survival, growth, and angiogenesis. The AKT kinases pathway stands among the most important components of cell proliferation mechanism. Several approaches have been implemented to design an efficient drug molecule to target AKT kinases, although the promising results have not been confirmed. In this paper we have documented the detailed molecular insight of AKT kinase protein and proposed a probable doxorubicin based approach in inhibiting miR-21 based cancer cell proliferation. Moreover, the inhibition of miR-21 activation by raising the FOXO3A concentration seems promising in reducing miR-21 mediated cancer activation in cell. Furthermore, the use of next generation sequencing and computational drug design approaches will greatly assist in designing a potent drug molecule against the associated cancer cases.

Members of the novel SH2-containing protein (NSP3) and Crk-associated substrate (p130Cas) protein families form a multi-domain signalling platforms that mediate cell signalling process. We analysed the damaging consequences of three mutations, each from NSP3 (NSP3(L469R), NSP3(L623E), NSP3(R627E)) and p130Cas (p130Cas(F794R), p130Cas(L787E), p130Cas(D797R)) protein with respect to their native biological partners. Mutations depicted notable loss in interaction affinity towards their corresponding biological partners. NSP3(L469R) and p130Cas(D797R) mutations were predicted as most prominent in docking analysis. Molecular dynamics (MD) studies were conducted to evaluate structural consequences of most prominent mutation in NSP3 and p130Cas obtained from the docking analysis. MD analysis confirmed that mutation in NSP3(L469R) and p130Cas(D797R) showed significant structural deviation, changes in conformations and increased flexibility, which in turn affected the binding affinity with their biological partners. Moreover, the root mean square fluctuation has indicated a rise in fluctuation of residues involved in moderate interaction acquired between the NSP3 and p130Cas. It has significantly affected the binding interaction in mutant complexes. The results obtained in this work present a detailed overview of molecular mechanisms involved in the loss of cell signalling associated with NSP3 and p130Cas protein.

Centrosome forms the backbone of cell cycle progression mechanism. Recent debates have occurred regarding the essentiality of centrosome in cell cycle regulation. CEP family protein is the active component of centrosome and plays a vital role in centriole biogenesis and cell cycle progression control. A total of 31 proteins have been categorized into CEP family protein category and many more are under candidate evaluation. Furthermore, by the recent advancements in genomics and proteomics researches, several new CEP proteins have also been characterized. Here we have summarized the importance of CEP family proteins and their regulation mechanism involved in proper cell cycle progression. Further, we have reviewed the detailed molecular mechanism behind the associated pathological phenotypes and the possible therapeutic approaches. Proteins such as CEP57, CEP63, CEP152, CEP164, and CEP215 have been extensively studied with a detailed description of their molecular mechanisms, which are among the primary targets for drug discovery. Moreover, CEP27, CEP55, CEP70, CEP110, CEP120, CEP135, CEP192, CEP250, CEP290, and CEP350 also seem promising for future drug discovery approaches. Since the overview implicates that the overall researches on CEP proteins are not yet able to present significant details required for effective therapeutics development, thus, it is timely to discuss the importance of future investigations in this field.

Centrosomes are the key regulating element of cell cycle progression. Aberrations in their functional mechanism leads to several cancer related disorders. Although genomic studies in the field of centrosome have been extensively carried out, with the lack of structural conformation, the proteomic analysis of pathological genetic mutation is still a challenging task. Several computational algorithms and high range force fields are used to design the 3D structure conformation of proteins, which has now become the leading platform for in-silico drug discovery approaches. Application of these highly efficient platforms in centrosomics studies will be a novel approach to develop an efficient drug therapy for the treatment of their dysfunction disorders.

The RGS proteins act as GTPase activating proteins and therefore regulate the lifespan of the active G alpha-GTP by accelerating the GTP hydrolysis. Modulatory residues in the RGS protein are present at the periphery of the RGS domain-G protein interface which is essential to fine-tune the G protein recognition and interaction. The docking energies of the mutant complex and the native complex were compared to see the effects of the mutations in the Modulatory regions. Mutations of Modulatory residues in high-activity RGS proteins lead to loss of function, whereas multiple mutations in the low-activity RGS proteins in critical Modulatory positions lead to complete gain of function. In the RGS proteins the Significant and Conserved core residues with peripheral Modulatory residues selectively optimize G protein recognition and inactivation. The flexibility of the structures of the mutant complexes were seen to be higher and the accessible surface area for the complexes increased after the mutations in the Modulatory residues. Through this approach we analyzed the interaction specificity among the RGS and the G alpha protein, the approach can also be applied to other protein families to find the residues which along with the core binding domain, fine tune the protein recognition and are crucial in the loss or gain of function.

Parkinson’s disease is a neurodegenerative disease which is the result of the degradation of the dopaminergic neurons in the substantia nigra pars compacta, leading to a disregulation of thalamocortical circuits. Traditional treatment involves the use of levodopa which increases the dopamine level in the striatum. There is a need for alternative non-dopamine therapy to prevent the side effects of the conventional drugs used. Recently small molecule inhibitors of RGS have become the prime candidates in studies related to regulating RGS by binding to its allosteric site and thus changing its structure. Through the docking studies we observed that these small molecule modulators of RGS4 make stable complexes with RGS4 when compared to native RGS4. The Gq(alpha)–GS4–rug complexes are less stable. The increase in flexibility of the RGS4–rug complex could be the reason for the inability of the RGS4–rug complex to bind to the G protein. In our docking results, CCG63802 formed the most promising drug as a RGS4 inhibitor as it formed the most stable complex with RGS4 and also formed the least stable complex, Gq(alpha)–RGS4–CCG63802 complex. In our studies we evaluated the therapeutic potential of the small molecule inhibitors to provide a prospective treatment for Parkinson’s disease.Keywords: RGS4 inhibitor; Parkinson disease; Flexibility; MGlu receptors; Neural plasticityThe Egyptian Journal of Medical Human Genetics (2013) 14, 135–142

Nek2A is an essential component of cell cycle progression. It regulates the reorganization of the microtubule network at the G2/M transition and controls the centriole–centriole linkage of the cells entering mitosis. The overexpression of Nek2A coding gene has been widely reported in several cancer-associated disorders. In order to design a potent inhibitor and to control its expression mechanism, it is important to understand the structural orientation and the underlying molecular mechanisms associated with its activity regulation. In this study we have summarized the important information that will help in understanding the functional and activity regulation of Nek2A splice variants, which will further facilitate in designing a potent inhibitor against the cancer associated cases. We have also presented previously reported studies on the domain specifications and inhibitor biosynthesis that provide an insight into its specific target residue regions for developing active and more potent inhibitors.