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      Structure-based virtual screening workflow to identify antivirals targeting HIV-1 capsid

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          Abstract

          We have identified novel HIV-1 capsid inhibitors targeting the PF74 binding site. Acting as the building block of the HIV-1 capsid core, the HIV-1 capsid protein plays an important role in the viral life cycle and is an attractive target for antiviral development. A structure-based virtual screening workflow for hit identification was employed, which includes docking 1.6 million commercially-available drug-like compounds from the ZINC database to the capsid dimer, followed by applying two absolute binding free energy (ABFE) filters on the 500 top-ranked molecules from docking. The first employs the Binding Energy Distribution Analysis Method (BEDAM) in implicit solvent. The top-ranked compounds are then refined using the Double Decoupling method in explicit solvent. Both docking and BEDAM refinement were carried out on the IBM World Community Grid as part of the FightAIDS@Home project. Using this virtual screening workflow, we identified 24 molecules with calculated binding free energies between − 6 and − 12 kcal/mol. We performed thermal shift assays on these molecules to examine their potential effects on the stability of HIV-1 capsid hexamer and found that two compounds, ZINC520357473 and ZINC4119064 increased the melting point of the latter by 14.8 °C and 33 °C, respectively. These results support the conclusion that the two ZINC compounds are primary hits targeting the capsid dimer interface. Our simulations also suggest that the two hit molecules may bind at the capsid dimer interface by occupying a new sub-pocket that has not been exploited by existing CA inhibitors. The possible causes for why other top-scored compounds suggested by ABFE filters failed to show measurable activity are discussed.

          Supplementary Information

          The online version contains supplementary material available at 10.1007/s10822-022-00446-5.

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          Most cited references64

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          AutoDock Vina: improving the speed and accuracy of docking with a new scoring function, efficient optimization, and multithreading.

          AutoDock Vina, a new program for molecular docking and virtual screening, is presented. AutoDock Vina achieves an approximately two orders of magnitude speed-up compared with the molecular docking software previously developed in our lab (AutoDock 4), while also significantly improving the accuracy of the binding mode predictions, judging by our tests on the training set used in AutoDock 4 development. Further speed-up is achieved from parallelism, by using multithreading on multicore machines. AutoDock Vina automatically calculates the grid maps and clusters the results in a way transparent to the user. Copyright 2009 Wiley Periodicals, Inc.
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            AutoDock4 and AutoDockTools4: Automated docking with selective receptor flexibility.

            We describe the testing and release of AutoDock4 and the accompanying graphical user interface AutoDockTools. AutoDock4 incorporates limited flexibility in the receptor. Several tests are reported here, including a redocking experiment with 188 diverse ligand-protein complexes and a cross-docking experiment using flexible sidechains in 87 HIV protease complexes. We also report its utility in analysis of covalently bound ligands, using both a grid-based docking method and a modification of the flexible sidechain technique. (c) 2009 Wiley Periodicals, Inc.
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              Development and testing of a general amber force field.

              We describe here a general Amber force field (GAFF) for organic molecules. GAFF is designed to be compatible with existing Amber force fields for proteins and nucleic acids, and has parameters for most organic and pharmaceutical molecules that are composed of H, C, N, O, S, P, and halogens. It uses a simple functional form and a limited number of atom types, but incorporates both empirical and heuristic models to estimate force constants and partial atomic charges. The performance of GAFF in test cases is encouraging. In test I, 74 crystallographic structures were compared to GAFF minimized structures, with a root-mean-square displacement of 0.26 A, which is comparable to that of the Tripos 5.2 force field (0.25 A) and better than those of MMFF 94 and CHARMm (0.47 and 0.44 A, respectively). In test II, gas phase minimizations were performed on 22 nucleic acid base pairs, and the minimized structures and intermolecular energies were compared to MP2/6-31G* results. The RMS of displacements and relative energies were 0.25 A and 1.2 kcal/mol, respectively. These data are comparable to results from Parm99/RESP (0.16 A and 1.18 kcal/mol, respectively), which were parameterized to these base pairs. Test III looked at the relative energies of 71 conformational pairs that were used in development of the Parm99 force field. The RMS error in relative energies (compared to experiment) is about 0.5 kcal/mol. GAFF can be applied to wide range of molecules in an automatic fashion, making it suitable for rational drug design and database searching. Copyright 2004 Wiley Periodicals, Inc.
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                Author and article information

                Contributors
                nanjie.deng@gmail.com
                ronlevy@temple.edu
                Journal
                J Comput Aided Mol Des
                J Comput Aided Mol Des
                Journal of Computer-Aided Molecular Design
                Springer International Publishing (Cham )
                0920-654X
                1573-4951
                9 March 2022
                : 1-11
                Affiliations
                [1 ]GRID grid.264727.2, ISNI 0000 0001 2248 3398, Center for Biophysics and Computational Biology and Department of Chemistry, , Temple University, ; Philadelphia, PA 19122 USA
                [2 ]GRID grid.240145.6, ISNI 0000 0001 2291 4776, Institute for Applied Cancer Science, , MD Anderson Cancer Center, ; Houston, TX 77030 USA
                [3 ]GRID grid.214007.0, ISNI 0000000122199231, Department of Integrative Structural and Computational Biology, , The Scripps Research Institute, ; La Jolla, CA 92037 USA
                [4 ]GRID grid.189967.8, ISNI 0000 0001 0941 6502, Laboratory of Biochemical Pharmacology, Department of Pediatrics, , Emory University School of Medicine, ; Atlanta, GA 30322 USA
                [5 ]GRID grid.428158.2, ISNI 0000 0004 0371 6071, Children’s Healthcare of Atlanta, ; Atlanta, GA 30322 USA
                [6 ]GRID grid.261572.5, ISNI 0000 0000 8592 1116, Department of Chemistry and Physical Sciences, , Pace University, ; New York, NY 10038 USA
                Author information
                http://orcid.org/0000-0001-8805-3526
                Article
                446
                10.1007/s10822-022-00446-5
                8904208
                35262811
                edd93861-70a8-4d95-84ae-15c457fe5ace
                © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2022

                This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.

                History
                : 21 December 2021
                : 24 February 2022
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100000002, National Institutes of Health;
                Award ID: U54 AI150472
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100008982, National Science Foundation;
                Award ID: 1665032
                Award Recipient :
                Funded by: Nahmias-Schinazi Distinguished Chair in Research
                Funded by: Bridge fund from Pace University
                Categories
                Article

                Biomedical engineering
                virtual screening,hiv-1 capsid inhibitors,structure-based virtual screening,docking,binding free energy calculation,thermal shift

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