40
views
0
recommends
+1 Recommend
1 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      Computational Modeling in Virus Infections and Virtual Screening, Docking, and Molecular Dynamics in Drug Design

      chapter-article

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Computer modeling is an area of broad multidisciplinary knowledge that includes the study of various biological systems. This chapter will describe the molecular aspects of viral infections and molecular modeling techniques applied to drug discovery with examples of applications in protein activity inhibition in several pathologies. The first part will cover topics of computational chemistry methods, DNA technologies, structural modeling of virus proteins, molecular biology, viral vectors, virus-like particles, and pharmaceutical bioprocess with application in some specific viruses such as papillomavirus, hepatitis B virus, hepatitis C virus, Coronavirus, and Zika Virus. The second part will deal with methods in Virtual Screening for the drug design based on ligands and on the structure of target macromolecules. Molecular docking in drug design, its search algorithms, and scoring functions will be covered in the third part. Finally, a protocol of the Molecular Dynamics technique for studies of protein-ligand complexes and analysis of free energy of binding will be exposed in the last part.

          Related collections

          Most cited references61

          • Record: found
          • Abstract: found
          • Article: not found

          UCSF Chimera--a visualization system for exploratory research and analysis.

          The design, implementation, and capabilities of an extensible visualization system, UCSF Chimera, are discussed. Chimera is segmented into a core that provides basic services and visualization, and extensions that provide most higher level functionality. This architecture ensures that the extension mechanism satisfies the demands of outside developers who wish to incorporate new features. Two unusual extensions are presented: Multiscale, which adds the ability to visualize large-scale molecular assemblies such as viral coats, and Collaboratory, which allows researchers to share a Chimera session interactively despite being at separate locales. Other extensions include Multalign Viewer, for showing multiple sequence alignments and associated structures; ViewDock, for screening docked ligand orientations; Movie, for replaying molecular dynamics trajectories; and Volume Viewer, for display and analysis of volumetric data. A discussion of the usage of Chimera in real-world situations is given, along with anticipated future directions. Chimera includes full user documentation, is free to academic and nonprofit users, and is available for Microsoft Windows, Linux, Apple Mac OS X, SGI IRIX, and HP Tru64 Unix from http://www.cgl.ucsf.edu/chimera/. Copyright 2004 Wiley Periodicals, Inc.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            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.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              The Protein Data Bank.

              The Protein Data Bank (PDB; http://www.rcsb.org/pdb/ ) is the single worldwide archive of structural data of biological macromolecules. This paper describes the goals of the PDB, the systems in place for data deposition and access, how to obtain further information, and near-term plans for the future development of the resource.
                Bookmark

                Author and article information

                Contributors
                fabricio.silva@fiocruz.br
                nicolas.carels@gmail.com
                msantos@lncc.br
                flopes@ufrj.br
                rachelsqsimoes@gmail.com
                marianasimoesf@gmail.com
                nathalia.dumas@gmail.com
                thamiresroccomachado@hotmail.com
                pascutti@biof.ufrj.br
                Journal
                978-3-030-51862-2
                10.1007/978-3-030-51862-2
                Networks in Systems Biology
                Networks in Systems Biology
                Applications for Disease Modeling
                978-3-030-51861-5
                978-3-030-51862-2
                15 June 2020
                2020
                : 32
                : 301-337
                Affiliations
                [23 ]GRID grid.418068.3, ISNI 0000 0001 0723 0931, Scientific Computing Program (PROCC), , Oswaldo Cruz Foundation, ; Rio de Janeiro, Brazil
                [24 ]GRID grid.418068.3, ISNI 0000 0001 0723 0931, CDTS, , Oswaldo Cruz Foundation, ; Rio de Janeiro, Brazil
                [25 ]Department of Computational Modeling, National Laboratory of Scientific Computing, Petrópolis, Rio de Janeiro Brazil
                [26 ]GRID grid.8536.8, ISNI 0000 0001 2294 473X, Graduate Program in Nanobiosystems, , Federal University of Rio de Janeiro, ; Duque de Caxias, Rio de Janeiro Brazil
                [27 ]GRID grid.418068.3, ISNI 0000 0001 0723 0931, Center of Technology Development in Health and Laboratory of Interdisciplinary Medical Research, Oswaldo Cruz Foundation, ; Rio de Janeiro, Brazil
                [28 ]GRID grid.8536.8, ISNI 0000 0001 2294 473X, Molecular Modeling and Dynamics Laboratory, , Institute of Biophysics Carlos Chagas Filho, Federal University of Rio de Janeiro, UFRJ, ; Rio de Janeiro, Brazil
                Article
                12
                10.1007/978-3-030-51862-2_12
                7991479
                6c630aea-e22f-43fa-b05c-ad12e1cb5639
                © Springer Nature Switzerland AG 2020

                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
                Categories
                Article
                Custom metadata
                © Springer Nature Switzerland AG 2020

                computational modeling,docking,drug design,molecular dynamics,virus,virtual screening

                Comments

                Comment on this article