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Elucidation of structural determinants is pivotal for structure-based drug discovery. The Farnesoid X receptor (FXR) is a proven target for NASH; however, its full agonism causes certain clinical complications. Therefore, partial agonism (PA) appears as a viable alternative for improved therapeutics. Since the agonist and PA both share the same binding site, i.e., ligand-binding pocket (LBP), which is highly dynamic and has synergy with the substrate binding site, the selective designing of PA is challenging. The identification of structural and conformational determinants is critical for PA compared with an agonist. Furthermore, the mechanism by which PA modulates the structural dynamics of FXR at the residue level, a prerequisite for PA designing, is still elusive. Here, by using ∼4.5 μs of MD simulations and residue-wise communication network analysis, we identified the structural regions which are flexible with PA but frozen with an agonist. Also, the network analysis identified the considerable changes between an agonist and PA in biologically essential zones of FXR such as helix H10/H11 and loop L:H11/H12, which lead to the modulation of synergy between LBP and the substrate binding site. Furthermore, the thermodynamic profiling suggested the methionine residues, mainly M

Monoclonal antibodies (mAbs) blocking the PD-1/PD-L1 interface have shown remarkable success in treating malignancies, but they may also initiate lethal immune-related adverse events. Small molecules may circumvent the mAb limitations; however, none has entered clinical trials targeting PD-1. Its complex protein-protein interaction interfaces necessitate an atomic-level understanding of recognition and binding mechanisms. Hence, we have aimed to highlight the PD-1's sequence-structure-dynamic-function link with its cognate ligands and diversely reported inhibitors. We focus primarily on the anti-PD-1 mAbs, their mode of actions, and interactions with PD-1 epitopes. The comparison of co-crystals showed that these ligands/inhibitors harness the PD-1's conformational plasticity and structural determinants differentially. The relationship between modulator binding patterns and biological activity is demonstrated using interaction fingerprinting of all reported human PD-1 co-crystals. The significant dynamical events and hot-spot residues underpinned from crystallographic wealth and computational studies have been highlighted to expedite small-molecule discovery.

The main protease, Mpro/3CLpro, plays an essential role in processing polyproteins translated from viral RNA to produce functional viral proteins and therefore serve as an attractive target for discovering COVID-19 therapeutics. The availability of both monomer and dimer crystal bound with a common ligand, ‘13b’ (α-ketoamide inhibitor), opened up opportunities to understand the Mpro mechanism of action. A comparative analysis of both forms of Mpro was carried out to elucidate the binding site architectural differences in the presence and absence of ‘13b’. Molecular dynamics simulations suggest that the presence of ‘13b’ enhances the stability of Mpro than the unbound APO form. The N- and C- terminals of both the protomers stabilize each other, and making it's interface essential for the active form of Mpro. In comparison to monomer, the relatively high affinity of ‘13b’ is gained in dimer pocket due to the high stability of the pocket by the interaction of S1 residue of chain B with residues F140, E166 and H172 of chain A, which is absent in monomer. The comprehensive essential dynamics, protein structure network analysis and thermodynamic profiling highlight the hot-spots, pivotal in molecular recognition process at protein-ligand and protein-protein interaction levels, cross-validated through computational alanine scanning study. A comparative description of ‘13b’ binding mechanism in both forms illustrates valuable insights into the inhibition mechanism and the selection of critical residues suitable for the structure-based approaches for the identification of more potent Mpro inhibitors. Communicated by Ramaswamy H. Sarma

A series of thiazole linked Oxindole-5-Sulfonamide (OSA) derivatives were designed as inhibitors of RNA-dependent RNA polymerase (RdRp) activity of Dengue virus. These were synthesized and then evaluated for their efficacy in ex-vivo virus replication assay using human cell lines. Among 20 primary compounds in the series, OSA-15 was identified as a hit. A series of analogues were synthesized by replacing the difluoro benzyl group of OSA-15 with different substituted benzyl groups. The efficacy of OSA-15derivatives was less than that of the parent compound, except OSA-15-17, which has shown improved efficacy than OSA-15. The further optimization was carried out by adding dimethyl (DM) groups to both the sulfonamide and oxindole NH's to produce OSA-15-DM and OSA-15-17-DM. These two compounds were showing no detectable cytotoxicity and the latter was more efficacious. Further, both these compounds were tested for inhibition in all the serotypes of the Dengue virus using an ex-vivo assay. The EC

Dengue virus (DENV) infection threatens the health and wellbeing of almost 100 million people in the world. Vectored by mosquitoes, DENV may cause a severe disease in human hosts called Dengue hemorrhagic fever (DHF)/Dengue shock syndrome (DSS), which is not preventable by any known drug. In the absence of a universally-accepted vaccine, a drug capable of inhibiting DENV multiplication is an urgent and unmet clinical need. Here we summarize inhibitory strategies by targeting either host biochemical pathways or virus-encoded proteins. A variety of approaches have been generated to design Directly-acting anti-virals or DAAs targeting different DENV proteins, with diverse success. Among them, DAAs targeting genome replicating viral enzymes have proven effective against many viruses including, Human Immuno-deficiency Virus and Hepatitis C Virus. DAAs may be derived either from existing compound libraries of novel molecules and plant secondary metabolites or devised through Computer-aided Drug design (CADD) methods. Here, we focus on compounds with reported DAA-activity against the DENV RNA-dependent RNA polymerase (RdRp), which replicate the viral RNA genome. The structure-activity relationship (SAR) and toxicity of the natural compounds, including secondary plant metabolites, have been discussed in detail. We have also tabulated novel compounds with known anti-RdRp activity. We concluded with a list of DAAs for which a co-crystal structure with RdRp is reported. Promising hit compounds are often discarded due to poor selectivity or unsuitable pharmacokinetics. We hope this review will provide a useful reference for further studies on the development of an anti-DENV drug.

RNA-dependent RNA polymerase (RdRp) is a relevant antiviral drug target. We investigated a potent benzimidazole inhibitor (227G; IC50 = 0.002 μM) against bovine viral diarrhea virus (BVDV) RdRp; however, its inhibition action was completely impaired in the presence of a resistant mutation, I261M. The binding of 227G in mutant RdRp affected the binding site loop conformations (especially Linker) that increased the volume of the binding site. It was also observed that the innate Linker's flexibility was retained, which was otherwise completely frozen in the wild-type complex. The functional role of Linker was hypothesized that it is a multidocking site for RNA template, inhibitors, and the other proteins involved in replication complex formation. The binding phenomenon requires significant molecular flexibility and the large-amplitude conformational dynamics of Linker, which is currently unknown. We observed a bidirectional "hinge"-like motion of Linker from crystal position, indicating its pronounced flexible behavior. This study underscores the importance of Linker's flexibility in the functionality of BVDV RdRp and proposes the template entrance site for selective anti-BVDV drug discovery.

The dynamics and plasticity of the PD-1/PD-L1 axis are the bottlenecks for the discovery of small-molecule antagonists to perturb this interaction interface significantly. Understanding the process of this protein-protein interaction (PPI) is of fundamental biological interest in structure-based drug designing. Food and Drug Administration (FDA)-approved anti-PD-1 monoclonal antibodies (mAbs) are the first-in-class with distinct binding modes to access this axis clinically; however, their mechanistic aspects remain elusive. Here, we have unveiled the interactive interfaces with PD-L1 and mAbs to investigate the native plasticity of PD-1 at global (structural and dynamical) and local (residue side-chain orientations) levels. We found that the structural stability and coordinated Cα movements are increased in the presence of PD-1's binding partners. The rigorous analysis of these PPIs using computational biophysical approaches revealed PD-1's intrinsic plasticity, its concerted loops' movement (BC, FG, and CC'), distal side-chain motions, and the thermodynamic landscape, which are perturbed remarkably from its unbound to bound states. Based on intra-/inter-residues' contact networks and energetics, the hot-spots have been identified that were found to be essential to arrest the dynamical motions of PD-1 significantly for the rational design of therapeutic agents by mimicking the mAbs mechanism.

The pandemic caused by novel coronavirus disease 2019 (COVID-19) infecting millions of populations worldwide and counting, has demanded quick and potential therapeutic strategies. Current approved drugs or molecules under clinical trials can be a good pool for repurposing through in-silico techniques to quickly identify promising drug candidates. The structural information of recently released crystal structures of main protease (Mpro) in APO and complex with inhibitors, N3, and 13b molecules was utilized to explore the binding site architecture through Molecular dynamics (MD) simulations. The stable state of Mpro was used to conduct extensive virtual screening of the aforementioned drug pool. Considering the recent success of HIV protease molecules, we also used anti-protease molecules for drug repurposing purposes. The identified top hits were further evaluated through MD simulations followed by the binding free energy calculations using MM-GBSA. Interestingly, in our screening, several promising drugs stand out as potential inhibitors of Mpro. However, based on control (N3 and 13b), we have identified six potential molecules, Leupeptin Hemisulphate, Pepstatin A, Nelfinavir, Birinapant, Lypression and Octreotide which have shown the reasonably significant MM-GBSA score. Further insight shows that the molecules form stable interactions with hot-spot residues, that are mainly conserved and can be targeted for structure- and pharmacophore-based designing. The pharmacokinetic annotations and therapeutic importance have suggested that these molecules possess drug-like properties and pave their way for in-vitro studies. Communicated by Ramaswamy H. Sarma

Cancer cell proliferation and their adaptation to tough environments depend critically on metabolic pathways. The pathological, phenotypic, and structural level understanding of metabolic reprogramming that actually takes place in the tumor microenvironment is known to provide an essential understanding of the strategies of anticancer drug development. Here, the different metabolic pathways, their key targets, and treatments are highlighted for the implementation of interdisciplinary approaches to understand the cancer metabolism pathways as well as the discovery-to-development process of anticancer drugs. In recent years, there have been advancements in metabolomics, proteomics, and in silico tools and techniques having higher sensitivity and prediction accuracy for the determination of various pharmacodynamic, pharmacokinetic properties, and metabolic pathways in the early drug discovery stages. Hence, they are more efficient to identify and validate the cancer proteins and characterize their structural–dynamical–functional relationships in an economically, fast, and less tedious process. Here, we review the available pathways, therapeutic targets, and the therapeutically active compounds reported to date which are known to modulate cancerous targets and reached into the clinical trials and/or approved by the FDA are highlighted. Some novel anticancer modulating mechanisms and targets reported recently and streamlined in the discovery phase are also discussed.

Approved mAbs that block the protein-protein interaction (PPI) interface of the PD-1/PD-L1 immune checkpoint axis have led to significant improvements in cancer treatment. Despite having drawbacks of mAbs only few a compounds are reported till date against this axis. Inhibiting PPIs using small molecules has emerged as a significant therapeutic opportunity, demanding for the identification of drug-like molecules at an accelerated pace under the hit-to-lead campaigns. Due to the PD-L1's cross-talk with PD-1/CD80 and its overexpression on cancer cells, as well as the availability of its crystal structures with small molecules, it is an enticing therapeutic target for structure-assisted small molecule design. Furthermore, the selection of chemical databases enriched with focused designing for PPI interfaces is crucial. Therefore, in this study we have utilized the Asinex signature library for structure-assisted virtual screening to find the potential PD-L1 inhibitors by targeting the cryptic PD-L1 interface, followed by induced fit docking for pose refinements in the pocket. The obtained hits were then subjected to interaction fingerprinting and ligand-based drug-likeness investigations in order to evaluate and analyze their drug-like qualities (ADME). Twelve compounds qualified for molecular dynamics simulations, followed by thermodynamic calculations for evaluation of their stability and energetics inside the pocket. Two novel compounds with different chemical moieties have been identified that are consistent throughout the simulation, mimicking the interactions and binding energies with BMS-1166. These compounds appear as potential therapeutic candidates to be explored experimentally, thereby paving the way for the development of novel leads as immunomodulators.

Inhibition of the viral RNA-dependent RNA polymerase (RdRp) to resolve chronic infection is a useful therapeutic strategy against Hepatitis C virus (HCV). Non-nucleoside inhibitors (NNIs) of RdRp are small molecules that bind tightly with allosteric sites on the enzyme, thereby inhibiting polymerase activity. A large number of crystal structures (176) were studied to establish the structure–activity relationship along with the mechanism of inhibition and resistance between HCV RdRp and NNIs at different allosteric sites. The structure and the associated dynamics are the blueprint to understand the function of the protein. We have implemented the ligand-based pharmacophore and molecular dynamic simulations to extract the possible local and global characteristics of RdRp upon NNI binding and the structural–dynamical features possessed by the known actives. Our results suggest that the NNI binding induces significant fluctuations at the atomic level which are critical for enzymatic activity, with minimal global structural alterations. Residue-wise mapping of interactions of NNIs at different sites exhibited some conserved interaction patterns of key amino acids and water molecules. Here, the structural insights are explored to understand the correlation between the dynamics of protein’s subdomains and function at the molecular level, useful for genotype-specific rational designing of NNIs. Communicated by Ramaswamy H. Sarma