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StatementThe authors have withdrawn their manuscript owing to the authors decision of withdrawing of the manuscript until all experiments are completed. Therefore, the authors do not wish this work to be cited as reference for the project. If you have any questions, please contact the corresponding author.

IntracellularSalmonellaresides and multiplies in cholesterol-rich specialized compartment calledSalmonella-containing vacuoles (SCVs) and avoids fusion with acidic lysosomes. Given, lysosomes are primary organelle that redistributes LDL derived cholesterol to other organelles; we questioned how lysosomal cholesterol can be transported to SCV. We demonstrate here that peroxisomes are recruited to SCVs in human primary macrophages, epithelial cells and functions as pro-bacterial organelles. Further, this interaction is assisted by SseI, aSalmonellaeffector protein containing mammalian peroxisome targeting sequence. SseI localizes to peroxisome, interacts and activates a host Ras GTPase, ARF-1 on the peroxisome membrane. Activation of ARF-1 leads to recruitment of phosphatidylinsolitol-5- phosphate-4 kinase to generate phosphatidylinsolitol-4-5-bisphosphate on peroxisomes. Accordingly, theΔsseIstrain showed reduced virulence in cell lines and during mice infection. Taken together, our work identified a fascinating mechanism by which a pathogen targets host organelles via its secretory effectors and exploits host metabolic intermediates for its intracellular proliferation.

Recent reports suggest that persistent Epstein-Barr virus (EBV) infection and its recurrent reactivation could instigate the formation of proteinaceous plaques in the brain: a hallmark of Alzheimer's disease (AD). Interestingly, a major genetic risk factor of AD, the apolipoprotein E (ApoE), could also influence the outcome of EBV infection in an individual. The ApoE is believed to influence the proteinaceous plaque clearance from the brain, and its defective functioning could result in the aggregate deposition. The persistent presence of EBV infection in a genetically predisposed individual could create a perfect recipe for severe neurodegenerative consequences. Therefore, in the present study, we investigated the possible interactions between ApoE and various EBV proteins using computational tools. Our results showed possibly stable de-novo interactions between the C-terminal domain of ApoE3 and EBV proteins: EBV nuclear antigen-1 (EBNA1) and BamHI Z fragment leftward open reading frame-1 (BZLF1). The EBNA1 protein of EBV plays a crucial role in establishing latency and replication of the virus. Whereas BZLF1 is involved in the lytic replication cycle. The proposed interaction of EBV proteins at the ligand-binding site of ApoE3 on CTD could interfere with- its capability to sequester amyloid fragments and, hence their clearance from the brain giving rise to AD pathology. This study provides a new outlook on EBV's underexplored role in AD development and paves the way for novel avenues of investigation which could further our understanding of AD pathogenesis.Communicated by Ramaswamy H. Sarma[Figure: see text].

The molecular hybridization concept led us to design a series of galloyl conjugates of flavanones that have potent osteoblast differentiation ability in vitro and promote bone formation in vivo. An array of in vitro studies, especially gene expression of osteogenic markers, evinced compound 5e as the most potent bone anabolic agent, found to be active at 1 pM, which was then further assessed for its osteogenic potential in vivo. From in vivo studies on rat calvaria and a fracture defect model, we inferred that compound 5e, at an oral dose of 5 mg/(kg day), increased the expression of osteogenic genes (RUNX2, BMP-2, Col1, and OCN) and the bone formation rate and significantly promoted bone regeneration at the fracture site, as evidenced by the increased bone volume/tissue fraction compared with vehicle-treated rats. Furthermore, structure-activity relationship studies and pharmacokinetic studies suggest 5e as a potential bone anabolic lead for future osteoporosis drug development.

Neurological disorders affect various aspects of life. Finding drugs for the central nervous system is a very challenging and complex task due to the involvement of the blood–brain barrier, P-glycoprotein, and the drug’s high attrition rates. The availability of big data present in online databases and resources has enabled the emergence of artificial intelligence techniques including machine learning to analyze, process the data, and predict the unknown data with high efficiency. The use of these modern techniques has revolutionized the whole drug development paradigm, with an unprecedented acceleration in the central nervous system drug discovery programs. Also, the new deep learning architectures proposed in many recent works have given a better understanding of how artificial intelligence can tackle big complex problems that arose due to central nervous system disorders. Therefore, the present review provides comprehensive and up-to-date information on machine learning/artificial intelligence-triggered effort in the brain care domain. In addition, a brief overview is presented on machine learning algorithms and their uses in structure-based drug design, ligand-based drug design, ADMET prediction, de novo drug design, and drug repurposing. Lastly, we conclude by discussing the major challenges and limitations posed and how they can be tackled in the future by using these modern machine learning/artificial intelligence approaches.

Nicotinamide N-methyltransferase (NNMT) is a protein coding gene, which methylates the nicotinamide (NA) (vitamin B3) to produce 1-methylnicotinamide (MNA). Several studies have suggested that the overexpression of NNMT is associated with different metabolic disorders like obesity and type-2 diabetes thereby making it an important therapeutic target for development of anti-diabetic agents. Here we describe a workflow for identification of new inhibitors of NNMT from a library of small molecules. In this study, we have hypothesized a four-point pharmacophore model based on the pharmacophoric features of reported NNMT inhibitors in the literature. The statistically significant pharmacophore hypothesis was used to explore the Maybridge compound library that resulted in mapping of 1330 hit compounds on the proposed hypothesis. Subsequently, a total of eight high scoring compounds, showing good protein-ligand interactions in the molecular docking study, were selected for biological evaluation of NNMT activity. Eventually, four compounds were found to show significant inhibitory activity for NNMT and can be further explored to design new derivatives around the identified scaffolds with improved activities as NNMT inhibitors.

COVID-19 caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) emerged first around December 2019 in the city of Wuhan, China. Since then, several variants of the virus have emerged with different biological properties. This pandemic has so far led to widespread infection cycles with millions of fatalities and infections globally. In the recent cycle, a new variant omicron and its three sub-variants BA.1, BA.2 and BA.3 have emerged which seems to evade host immune defences and have brisk infection rate. Particularly, BA.2 variant has shown high transmission rate over BA.1 strain in different countries including India. In the present study, we have evaluated a set of eighty drugs/compounds using in silico docking calculations in omicron and its variants. These molecules were reported previously against SARS-CoV-2. Our docking and simulation analyses suggest differences in affinity of these compounds in omicron and BA.2 compared to SARS-CoV-2. These studies show that neohesperidin, a natural flavonoid found in Citrus aurantium makes a stable interaction with spike receptor domain of omicron and BA.2 compared to other variants. Free energy binding analyses further validates that neohesperidin forms a stable complex with spike RBD in omicron and BA.2 with a binding energy of -237.9 ± 18.7 kJ/mol and -164.1 ± 17.5 kJ/mol respectively. Key residual differences in the RBD interface of these variants form the basis for differential interaction affinities with neohesperidin as drug binding site overlaps with RBD-human ACE2 interface. These data might be useful for the design and development of novel scaffolds and pharmacophores to develop specific therapeutic strategies against these novel variants.

Human DNA ligase (hLigI) plays an important role in the process of DNA replication and repair, making it an important target for cancer. In our tireless efforts for finding selective inhibitors against hLigI, this article reports the design, synthesis and biological activity of a series of 71 curcumin-monocarbonyl-dithiocarbamate hybrid molecules. Many of the synthetic compounds tested in this study show a significant inhibitory effect on the human DNA ligase 1 (hLig1) activity (> 90% inhibition) and demonstrated significant anti-proliferative activity against colon cancer cells (DLD-1) in a concentration dependent manner. In addition, at a concentration of 10 µM, certain compounds showed selective activity towards DLD-1 cells as compared to the normal HEK-293 cells. Overall, our studies demonstrate that two compounds in this series (27 and 49) have significantly better DNA ligase 1 inhibition and anti-proliferative activities than the previously reported monocarbonyl-curcumin hybrid (compound 23*). This study brings us closer towards our quest to explore the molecular space for novel hLig1 inhibitors and to find inhibitors that will be suitable for clinical trials in cancer patients.

New chemical scaffolds with novel mechanism of action are urgently needed for the treatment of drug resistant tuberculosis. The oxidative phosphorylation pathway of Mycobacterium tuberculosis consists of multiple clinically validated drug targets. This pathway can function through any one of the two terminal oxidases-the proton pumping cytochrome bc

Acetyl Coenzyme A Carboxylase (AccD6) is a homodimeric protein which is involved in the carboxylation of acetyl coenzyme A to produce malonyl coenzyme A, which plays an important role in the biosyn...

NAD synthetase (NadE) catalyzes the last step in NAD biosynthesis, transforming deamido-NAD+ into NAD+ by a two-step reaction with co-substrates ATP and amide donor ammonia. In this study, we report the crystal structure of Staphylococcus aureus NAD synthetase enzyme (saNadE) at 2.3 A resolution. We used this structure to perform molecular dynamics simulations of apo-enzyme, enzyme-substrate (NadE with ATP and NaAD) and enzyme-intermediate complexes (NadE with NaAD-AMP) to investigate key binding interactions and explore the conformational transitions and flexibility of the binding pocket. Our results show large shift of N-terminal region in substrate bound form which is important for ATP binding. Substrates drive the correlated movement of loop regions surrounding it as well as some regions distal to the active site and stabilize them at complex state. Principal component analysis of atomic projections distinguish feasible trajectories to delineate distinct motions in enzyme-substrate to enzyme-intermediate states. Our results suggest mixed binding involving dominant induced fit and conformational selection. MD simulation extracted ensembles of NadE could potentially be utilized for in silico screening and structure based design of more effective Methicillin Resistant Staphylococcus aureus (MRSA) inhibitors.

Matrix Metalloproteinase-13 (MMP-13) is a collagenase that regulates the homeostasis of the extracellular matrix (ECM) and basement membrane, as well as the breakdown of type II collagen. Recent research studies on the molecular and cellular mechanisms of cartilage degradation suggest that MMP-13 overexpression triggers osteoarthritis and is considered a promising target for osteoarthritis treatment. The present work employs machine learning-based virtual screening and structure-based rational drug design approaches to identify potential inhibitors of MMP-13 with diverse chemical scaffolds. The twelve top-scoring screened compounds were subjected to biological evaluation to validate the robustness and predictive modeling of ML-based Virtual Screening. It was observed that eight compounds exhibited approximately 44%–60% inhibition at 0.1 µM concentration, and the IC50 lies in the range of 1.9–2.3 µM against MMP-13. Interestingly, two of the compounds, DP01473 and RH01617, showed potent dose-dependent inhibitory activity. Compound DP01473 inhibited MMP-13 by 44%, 50%, and 70%, while compound RH01617 inhibited MMP-13 by 54%, 55%, and 57% at 0.1 μM, 1 μM, and 10 μM concentrations, respectively, and can be further optimized for the design and development of more potent MMP-13 inhibitors. Communicated by Ramaswamy H. Sarma

Insulin-signalling is an important pathway in multiple cellular functions and organismal ageing across the taxa. A strong association of insulin-signalling with Parkinson’s disease (PD) has been proposed but the exact nature of molecular events and genetic associations are yet to be understood. We employed transgenic C. elegans strain harboring human α-synuclein::YFP transgene, towards studying the aggregation pattern of α-synuclein, a PD-associated endpoint, under human insulin (Huminsulin®) treatment and DAF-16/DAF-2 knockdown conditions, independently and in combination. The aggregation was increased when DAF-16 was knocked-down independently or alongwith a co-treatment of Human insulin (HumINS) and decreased when DAF-2 was knocked-down independently or alongwith a co-treatment of HumINS; whereas HumINS treatment per se, reduced the aggregation. Our results depicted that HumINS decreases α-synuclein aggregation via DAF-2/DAF-16 pathway by acting as an antagonist for DAF-2 receptor. Knockdown of reported DAF-2 agonist (INS-6) and antagonists (INS-17 and INS-18) also resulted in a similar effect on α-synuclein aggregation. Further by utilizing bioinformatics tools, we compared the differences between the binding sites of probable agonists and antagonists on DAF-2 including HumINS. Our results suggest that HumINS treatment and DAF-16 expression play a protective role against α-synuclein aggregation and its associated effects.

Trypanothione reductase of Leishmania donovani is a flavin adenine dinucleotide containing homodimeric protein essential for parasite survival. The flavoenzyme utilizes nicotinamide adenine dinucleotide phosphate in the reaction to convert oxidized trypanothione to reduced trypanothione which is further used up by tryparedoxin/tryparedoxin peroxidase system to neutralize the reactive oxygen species generated by the macrophages. Some of the drugs previously reported against the disease include sodium stibogluconate, miltefosine and amphotericin B. However, due to the resistance and toxicity problem associated with these molecules, there is an urgent need to develop new drugs against L. donovani. Trypanothione reductase of L. donovani is one such essential target whose inhibition could lead to a decline in parasite growth. In this work, we have performed a computational studies using Maybridge library of chemical compounds to identify potential inhibitors of Trypanothione reductase of L. donovani. Structure-based virtual screening method in combination with molecular docking was employed to identify and prioritize 30 compounds which were further subjected to molecular dynamics simulation. Ten compounds which showed stable ligand root-mean-square deviation plot, c-alpha backbone and root-mean-square fluctuation were considered for trypanothione reductase inhibition assay and subsequent inhibition studies of parasite growth. Enzyme inhibition assay resulted in shortlisting of four compounds that were found to inhibit Trypanothione reductase of L. donovani. Subsequently, the anti-leishmanial screening highlighted one compound as the potential anti-leishmanial agent, with IC50 value of 15.2 µM, that can be further optimised with medicinal chemistry efforts to improve its activity. Communicated by Ramaswamy H. Sarma

Over the last few decades, anticancer peptides (ACPs) have turned into potential warheads against cancer. Apart from small molecules and monoclonal antibodies, ACPs have been proven to be effective against cancer cells. ACPs are small cationic peptides that selectively bind to the negatively charged cancer cell membrane and kill them by various mechanisms. In the present study, we prepared a random scrambled library of 1200 peptides from the 100 known ACPs and virtually screened them for their anticancer properties. From in silico-predicted ACPs, 27 peptides were prioritized based on their support vector machine (SVM) score. Based on the SVM score and properties such as hydrophobicity, size, overall net charge, secondary structure, and synthetic feasibility, finally, four peptides were synthesized and screened for their biological activities. Cancer cell membrane-deforming potential of two most active peptides, peptide1 and peptide2 was assessed with molecular dynamics simulation. We found that peptide1 remains adsorbed to the membrane surface, while peptide2 has membrane penetration capability. The present study will be helpful in the computational design of ACPs and understanding their interaction with the cancerous cell's membrane.

Previously, we established adiponectin receptors (AdipoRs) as osteoanabolic target. To discover small molecule agonists of AdipoRs, we studied apigenin and apigenin-6C-glucopyranose (isovitexin) that induced osteoblast differentiation. In-silico, in vitro and omics-based studies were performed. Molecular docking using the crystal structures of AdipoRs showed different interaction profiles of isovitexin and apigenin. In osteoblasts, isovitexin but not apigenin rapidly phosphorylated AMP-activated protein kinase (pAMPK) which is downstream of AdipoRs and a master regulator of cellular energy metabolism, and upregulated expression of AdipoRs. Blocking AMPK abolished the osteogenic effect of isovitexin and its effect on AdipoR expression. Isovitexin upregulated the expression of peroxisome proliferator-activated receptor gamma coactivator 1-alpha (PGC-1α), the mitochondrial biogenesis factor in osteoblasts, and the effect was blocked by AMPK inhibition. Upregulation of PGC-1α by isovitexin was accompanied by increased mitochondrial membrane proteins and mitochondrial DNA (mtDNA). Isovitexin via AdipoRs and PGC-1α induced oxidative phosphorylation (OxPhos) and ATP synthesis that resulted in osteoblast differentiation. Isovitexin had no agonistic/antagonistic activity and stimulatory/inhibitory effect in screening platforms for G protein-coupled receptors and kinases, respectively. In vivo, isovitexin upregulated AdipoRs and osteogenic genes, and increased mtDNA in rat calvarium. We conclude that isovitexin selectively via AdipoRs induced osteoblast differentiation that was fuelled by mitochondrial respiration.

The malaria parasite carries two organelles, the apicoplast and mitochondrion, whose DNA genomes must be maintained for optimal function and parasite survival under genotoxic stress. DNA repair mechanism(s) operative within these organelles were explored by mining the Plasmodium falciparum nuclear genome for sequences encoding proteins of major DNA repair pathways with predicted targeting to either organelle. Of the panel of enzymes identified for base excision repair (BER), we characterized the apurinic/apyrimidinic (AP) endonuclease PfApn1-an EndoIV whose homolog is not known in humans. PfApn1 targeted to the mitochondrion and functioned as an AP endonuclease requiring both Zn2+ and Mn2+ ions for maximal activity. Mutation of the critical third metal-binding site residue H542 resulted in the loss of Mn2+ (but not Zn2+ ) binding indicating that Mn2+ bound PfApn1 at this site; this was further supported by molecular dynamic simulation. CD spectra analysis further showed requirement of both metal ions for the attainment of PfApn1 β-strand-rich optimal conformation. PfApn1 also functioned as a 3'-phosphatase that would enable removal of 3'-blocks for DNA polymerase activity during BER. Interestingly, unlike Escherichia coli and yeast EndoIV homologs, PfApn1 lacked 3'-5' exonuclease activity and also did not cleave damaged bases by nucleotide incision repair (NIR). Uncoupling of endonuclease/phosphatase and exonuclease/NIR in PfApn1 suggests that amino acid residues distinct from those critical for endonuclease function are required for exonuclease activity and NIR. Characterization of a critical mitochondrion-targeted AP endonuclease provides evidence for a functional BER pathway in the parasite organelle.

Cervical cancer is a leading cause of cancer-related deaths among women in developing countries. Therefore, development of new chemotherapeutic agents is required. Unlike normal cells, cancer cells contain elevated copper levels which play an integral role in angiogenesis. Thus, targeting copper via copper-specific chelators in cancer cells can serve as effective anticancer strategy. In this work, a copper chelator pregnenolone acetate nucleus-based tetrazole derivative (ligand-L) was synthesized and characterized by elemental analysis, ESI-MS, 1H NMR and 13C NMR. DNA binding ability of ligand-L was studied using UV–Vis and fluorescence spectroscopy. Fluorescence spectroscopy studies reveal that quenching constant of ligand- l -DNA and ligand-L-Cu(II) were found to be 7.4 × 103 M−1 and 8.8 × 103 M−1, respectively. In vitro toxicity of ligand-L was studied on human cervical cancer C33A cancer cells. Results showed that ligand-L exhibit significant cytotoxic activity against cervical cancer C33A cells with IC50 value 5.0 ± 1.8 µM. Further, it was found that ligand-L cytotoxicity is due to redox cycling of copper to generate ROS which leads to DNA damage and apoptosis. In conclusion, this is the report where we synthesized pregnenolone acetate-based tetrazole derivative against C33A cells that targets cellular copper to induce pro-oxidant death in cancer cells. These findings will provide significant insights into the development of new chemical molecules with better copper chelating and pro-oxidant properties against cancer cells.

Allosteric modulators of G-protein-coupled receptors have lately gained significant traction in drug discovery. Recent studies have shown that allosteric modulation of serotonin 2C receptor (5-HT2C) as a viable strategy for the treatment of various central nervous system (CNS) disorders. Considering the critical role of 5-HT2C in the modulation of appetite, a selective positive allosteric modulator (PAM) of 5-HT2C offers a new opportunity for anti-obesity therapeutic development. In this study, phenyl cyclopropyl-linked N-heterocycles were synthesized and evaluated at 5-HT2C for agonist and PAM activity. Our study shows that imidazole linked phenyl cyclopropyl methanones has PAM activity on both 5-HT2C and serotonin 2B receptor (5-HT2B). Interestingly, piperazine linked phenyl cyclopropyl methanones (58) was active as PAM of 5-HT2C (increased the Emax of 5-HT to 139%), and as negative allosteric modulator (NAM) of 5-HT2B (decreases EC50 of 5-HT 10 times without affecting Emax). Similar effect of compound 58 was observed with synthetic orthosteric agonist lorcaserin on 5-HT2B. Molecular docking study revealed that all active compounds were binding to the predicted allosteric site on 5-HT2C and shared a common interacting residues. Finally, compound 58 suppressed food intake in Sprague Dawley (SD) rats similar to lorcaserin after i.c.v. administration. Therefore, these results suggest that piperazine moiety is essential for dual activity (PAM & NAM) of compounds 58, and supports the hypothesis of 5-HT2C PAM for the treatment of obesity similar to the full agonist.

The synthesis of 5-formyl-6-aryl-6H-indolo[3,2,1-de][1,5] naphthyridine-2-carboxylates by reaction between 1-formyl-9H-β-carbolines and cinnamaldehydes in the presence of pyrrolidine in water with microwave irradiation is described. Pharmacophoric modification of the formyl group offered several new fused β-carboline derivatives, which were investigated for their κ-opioid receptor (KOR) agonistic activity. Two compounds 4 a and 4 c produced appreciable agonist activity on KOR with EC50 values of 46±19 and 134±9 nM, respectively. Moreover, compound-induced KOR signaling studies suggested both compounds to be extremely G-protein-biased agonists. The analgesic effect of 4 a was validated by the increase in tail flick latency in mice in a time-dependent manner, which was completely blocked by the KOR-selective antagonist norBNI. Moreover, unlike U50488, an unbiased full KOR agonist, 4 a did not induce sedation. The docking of 4 a with the human KOR was studied to rationalize the result.

Poly (ADP-ribose) polymerase-1 (PARP1) inhibition strategy for cancer treatment is gaining advantage particularly in patients having a mutation in BRCA1/BRCA2 gene. To date, four drugs have obtained FDA approval and some inhibitors are in clinical trials. To identify more potent PARP1 inhibitors extensive research is going on to enrich the library of PARP1 inhibitors with compounds belonging to different classes. We employed an integrated virtual screening approach to identify potential PARP1 inhibitors. The sequential support vector machine (SVM) and pharmacophore model based virtual screening was carried out on the Maybridge library. The obtained hits were docked in the binding site of the PARP1 catalytic domain and nine drug-like compounds showing good ADME properties and form critical molecular interactions with the binding site residues were considered for the in vitro PARP1 inhibition assay. MD simulations were performed to decipher the stability of the PARP1-ligand complexes. Hydrogen bond interactions were also probed for their stability during MD simulations. We have identified three compounds (BTB02767, GK01172, and KM09200) showing 50% inhibition of PARP1 enzyme activity at 25 μM. BTB02767 and KM09200 have phthalazinone scaffold, while GK01172 bears a thiophene carboxamide scaffold, which could be a new chemotype of PARP1 inhibitors. In conclusion, GK01172 may serve as an important compound for further development of PARP1 inhibitors containing thiophene carboxamide scaffold. Communicated by Ramaswamy H. Sarma

Renin enzyme plays an essential role in the Renin-Angiotensin System (RAS), and it is involved in the pathogenesis of hypertension and several other cardiovascular diseases (CVDs). Inhibition of renin is an effective way to intervene with the pathogenesis of these diseases. Docking-based virtual screening, 3D-Quantitative Structure-Activity Relationship (3D-QSAR), and structure-based drug design are the most frequently used strategies towards discovering novel inhibitors targeting renin. In this study, we have developed a 2D fingerprint-based Deep Neural Network (DNN) classifier for virtual screening and a DNN-QSAR model for biological activity prediction. The resulting hits from the DNN-QSAR model were then subjected to the molecular docking to identify further top hits. Molecular Dynamics (MD) simulation was conducted to get a better insight into the binding mode of identified hits. We have discovered six compounds from the Maybridge chemical database with the predicted IC

Background Defects in DNA repair pathway can lead to double-strand breaks leading to genomic instability. Earlier we have shown that S.pombe Drp1, a Rint1/Tip1 family protein is required for the recovery from DNA damage. Methods Various truncations of Drp1 protein were constructed and their role in DNA damage response and interaction with Rad50 protein has been studied by co-immunoprecipitation and pull-down assays. Results The structural and functional analysis of Drp1 protein revealed that the N-terminus region of Drp1 is indispensable for the survival. The C-terminus truncation mutants, drp1C1Δ and drp1C2Δ exhibit temperature sensitive phenotype and are hypersensitive against DNA damaging agents with elevated level of Rad52-YFP foci at non-permissive temperature indicating the impairment for DNA damage repair pathway. The essential N-terminus region of Drp1 interacts with the C-terminus region of Rad50 and might be involved in influencing the MRN/X function. Small-angle X-ray (SAXS) analysis revealed three-domain like shapes in Drp1 protein while the C-terminus region of Rad50 exhibit unusual bulges. Computational docking studies revealed the amino acid residues at the C-terminus region of Rad50 that are involved in the interaction with the residues present at the N-terminal region of Drp1 indicating the importance of the N-terminal region of Drp1 protein. Conclusions We have identified the region of Drp1 and Rad50 proteins that are involved in the interaction and their role in the DNA damage response pathway has been analyzed. General significance The functional and structural aspects of fission yeast Drp1 protein and its interaction with Rad50 have been elucidated.

Chronic alcoholism (CA) decreases bone mass and increases the risk of hip fracture. Alcohol and its main metabolite, acetaldehyde impairs osteoblastogenesis by increasing oxidative stress. Aldehyde dehydrogenase (ALDH) is the rate-limiting enzyme in clearing acetaldehyde from the body. The clinical relevance of ALDH in skeletal function has been established by the discovery of single nucleotide polymorphism, SNP (rs671) in the ALDH2 gene giving rise to an inactive form of the enzyme (ALDH2*2) that causes increased serum acetaldehyde and osteoporosis in the affected individuals. Subsequent mouse genetics studies have replicated human phenotype in mice and confirmed the non-redundant role of ALDH2 in bone homeostasis. The activity of ALDH2 is amenable to pharmacological modulation. ALDH2 inhibition by disulfiram (DSF) and activation by alda-1 cause reduction and induction of bone formation, respectively. DSF also inhibits peak bone mass accrual in growing rats. On the other hand, DSF showed an anti-osteoclastogenic effect and protected mice from alcohol-induced osteopenia by inhibiting ALDH1a1 in bone marrow monocytes. Besides DSF, there are several classes of ALDH inhibitors with disparate skeletal effects. Alda-1, the ALDH2 activator induced osteoblast differentiation by increasing bone morphogenic protein 2 (BMP2) expression via ALDH2 activation. Alda-1 also restored ovariectomy-induced bone loss. The scope of structure-activity based studies with ALDH2 and the alda-1-like molecule could lead to the discovery of novel osteoanabolic molecules. This review will critically discuss the molecular mechanism of the ethanol and its principal metabolite, acetaldehyde in the context of ALDH2 in bone cells, and skeletal homeostasis.

Mammalian Lst8 interacts with the kinase domain of mTOR and stabilizes its interaction with Raptor regulating cell growth through the mTOR-S6K1 signalling pathway. Fission yeast Wat1, an ortholog of mammalian Lst8 is also an essential component of TOR complex 1 (TORC1) and TOR Complex 2 (TORC2) that control protein kinases essential for metabolic pathways. Here, we show that in response to osmotic stress, the Wat1 protein undergoes hyper-phosphorylation at S116 position. Wat1 interacts with the C-terminal region of Tor1 that also contain kinase domain. Co-immunoprecipitation and molecular modelling studies suggest that Wat1-Tor1 interaction is stabilized by FATC domain of Tor1 protein present at the C-terminal region. We have also demonstrated a physical interaction of Wat1 with Gad8, an AGC family protein kinase that is dependent on phosphorylation of Wat1 at S116 residue. Wat1 phosphorylation is required for the maintenance of vacuolar integrity and sexual differentiation. Collectively, our study reveals Wat1 phosphorylation regulates Gad8 function in a manner dependent on Tor1 interaction.

Unique intrinsic properties of peptides like low toxicity, high biological activity, and specificity make them attractive therapeutic agents. PDZ-binding peptide inhibitors have been demonstrated for curing of Alzheimer, Parkinson, Dementia, and other central nervous system ailments. In this article, we report the successful use of an integrated computational protocol to analyze the structural basis of how peptides bind to the shallow groove of the third PDZ domain (PDZ-3) from the postsynaptic density (PSD-95) protein. This protocol employs careful and precise computational techniques for design of new strategy for predicting novel and potent peptides against PDZ protein. We attempted to generate a pharmacophore model using crystal structure of peptide inhibitor bound to the PDZ-3. A highly specific and sensitive generated pharmacophore model was used for screening virtual database generated using different combination of amino acid substitutions as well as decoy peptide database for its sensitivity and specificity. Identified hit peptides were further analyzed by docking studies, and their stability analyzed using solvated molecular dynamics. Quantum Mechanics/Molecular Mechanics (QM/MM) interaction energy and GMX-PBSA scoring schemes were used for ranking of stable peptides. Computational approach applied here generated encouraging results for identifying peptides against PDZ interaction model. The workflow can be further exercised as a virtual screening technique for reducing the search space for candidate target peptides against PDZ domains.

A concise, one pot and regioselective access to (E)-distyrylbenzenes (DSBs) from arylhalide and secondary phenylenediethanol, a stable precursor for in situ generation of divinylbenzene (DVB) to avoid its polymerization, is described for construction of double C C bond formation via tandem double-dehydrative-double-Heck (D-D-D-H) reaction using Palladium and ionic liquid [hmim]Br as a cooperative catalyst. It is noteworthy that this pot-economy approach also provides direct synthesis of hydroxylated distyrylbenzenes without requirement of protection-deprotection strategy. Importantly, the synthesized DSBs are tested for their protective activity against β amyloid reduction, acetylcholine esterase inhibition, lipid lowering and reactive oxygen species (ROS) reduction properties in transgenic Caenorhabditis elegans model wherein 1,3-bis((E)-4-(trifluoromethyl)styryl)benzene (5c) is found to be active across all above factors thus presenting lead molecule within multi-target-directed ligands (MTDLs) approach. Molecular docking studies were also performed to understand the interactions of potent DSBs with receptors.