10
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Interactive molecular dynamics in virtual reality for accurate flexible protein-ligand docking

      research-article

      Read this article at

      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

          Simulating drug binding and unbinding is a challenge, as the rugged energy landscapes that separate bound and unbound states require extensive sampling that consumes significant computational resources. Here, we describe the use of interactive molecular dynamics in virtual reality (iMD-VR) as an accurate low-cost strategy for flexible protein-ligand docking. We outline an experimental protocol which enables expert iMD-VR users to guide ligands into and out of the binding pockets of trypsin, neuraminidase, and HIV-1 protease, and recreate their respective crystallographic protein-ligand binding poses within 5–10 minutes. Following a brief training phase, our studies shown that iMD-VR novices were able to generate unbinding and rebinding pathways on similar timescales as iMD-VR experts, with the majority able to recover binding poses within 2.15 Å RMSD of the crystallographic binding pose. These results indicate that iMD-VR affords sufficient control for users to carry out the detailed atomic manipulations required to dock flexible ligands into dynamic enzyme active sites and recover crystallographic poses, offering an interesting new approach for simulating drug docking and generating binding hypotheses.

          Related collections

          Most cited references60

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

          Molecular Dynamics Simulation for All

          The impact of molecular dynamics (MD) simulations in molecular biology and drug discovery has expanded dramatically in recent years. These simulations capture the behavior of proteins and other biomolecules in full atomic detail and at very fine temporal resolution. Major improvements in simulation speed, accuracy, and accessibility, together with the proliferation of experimental structural data, have increased the appeal of biomolecular simulation to experimentalists—a trend particularly noticeable in , though certainly not limited to, neuroscience. Simulations have proven valuable in deciphering functional mechanisms of proteins and other biomolecules, in uncovering the structural basis for disease, and in the design and optimization of small molecules, peptides, and proteins. Here we describe in practical terms the types of information MD simulations can provide and the ways in which they typically motivate further experimental work.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Rational design of potent sialidase-based inhibitors of influenza virus replication.

            Two potent inhibitors based on the crystal structure of influenza virus sialidase have been designed. These compounds are effective inhibitors not only of the enzyme, but also of the virus in cell culture and in animal models. The results provide an example of the power of rational, computer-assisted drug design, as well as indicating significant progress in the development of a new therapeutic or prophylactic treatment for influenza infection.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Software for molecular docking: a review.

              Molecular docking methodology explores the behavior of small molecules in the binding site of a target protein. As more protein structures are determined experimentally using X-ray crystallography or nuclear magnetic resonance (NMR) spectroscopy, molecular docking is increasingly used as a tool in drug discovery. Docking against homology-modeled targets also becomes possible for proteins whose structures are not known. With the docking strategies, the druggability of the compounds and their specificity against a particular target can be calculated for further lead optimization processes. Molecular docking programs perform a search algorithm in which the conformation of the ligand is evaluated recursively until the convergence to the minimum energy is reached. Finally, an affinity scoring function, ΔG [U total in kcal/mol], is employed to rank the candidate poses as the sum of the electrostatic and van der Waals energies. The driving forces for these specific interactions in biological systems aim toward complementarities between the shape and electrostatics of the binding site surfaces and the ligand or substrate.
                Bookmark

                Author and article information

                Contributors
                Role: Formal analysisRole: InvestigationRole: Writing – original draft
                Role: Formal analysisRole: Investigation
                Role: Formal analysisRole: Validation
                Role: Software
                Role: SupervisionRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: Project administrationRole: SupervisionRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                11 March 2020
                2020
                : 15
                : 3
                : e0228461
                Affiliations
                [1 ] Intangible Realities Laboratory, School of Chemistry, University of Bristol, Bristol, England, United Kingdom
                [2 ] Department of Computer Science, University of Bristol, Bristol, England, United Kingdom
                [3 ] Centre for Computational Chemistry, School of Chemistry, University of Bristol, Bristol, England, United Kingdom
                University of Leeds, UNITED KINGDOM
                Author notes

                Competing Interests: DRG acknowledges cloud computing resources were provided from Oracle Corporation via a Bristol University Partnership Cloud award. This does not alter our adherence to PLOS ONE policies on sharing data and materials. There are no patents, products in development or marketed products to declare.

                Author information
                http://orcid.org/0000-0003-3153-143X
                http://orcid.org/0000-0002-9608-3845
                Article
                PONE-D-19-26973
                10.1371/journal.pone.0228461
                7065745
                32160194
                9548a765-de8f-4f65-af81-8ccb140fbd0e
                © 2020 Deeks et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 25 September 2019
                : 15 January 2020
                Page count
                Figures: 6, Tables: 0, Pages: 21
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/501100000266, Engineering and Physical Sciences Research Council;
                Award ID: DTA
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100000266, Engineering and Physical Sciences Research Council;
                Award ID: DTA-2
                Award Recipient :
                Funded by: royal society
                Award ID: RGF\EA\181075
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100000268, Biotechnology and Biological Sciences Research Council;
                Award ID: BB/R00661X/1
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100000266, Engineering and Physical Sciences Research Council;
                Award ID: EP/P021123/1
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100000266, Engineering and Physical Sciences Research Council;
                Award ID: EPSRC
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100000266, Engineering and Physical Sciences Research Council;
                Award ID: CCP-BioSim
                Award Recipient :
                Funded by: royal society
                Award ID: URF\R\180033
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100000266, Engineering and Physical Sciences Research Council;
                Award ID: EP/P021123/1
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100000275, Leverhulme Trust;
                Award ID: philip Leverhulme award
                Award Recipient :
                HMD and RKW are funded by PhD studentships from Engineering and Physical Sciences Research Council (EPSRC). MOC is supported through the Royal Society (RGF\EA\181075) and BBSRC (BB/R00661X/1). SRH is funded by EPSRC programme grant EP/P021123/1. AJM thanks EPSRC for funding (EP/M022609/1) and also the Collaborative Computational Project for Biomolecular Simulation (CCP-BioSim, www.ccpbiosim.ac.uk), supported by EPSRC. DRG acknowledges funding from: Oracle Corporation (University Partnership Cloud award); the Royal Society (URF\R\180033); EPSRC (impact acceleration award, institutional sponsorship award, and EP/P021123/1), and the Leverhulme Trust (Philip Leverhulme Prize). Cloud computing resources, enabling us to run some of the simulations described herein, were provided from Oracle Corporation via a Bristol University Partnership Cloud award. None of the authors received any form of support from Oracle in the form of salary. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Biochemistry
                Enzymology
                Enzymes
                Proteases
                Biology and Life Sciences
                Biochemistry
                Proteins
                Enzymes
                Proteases
                Biology and Life Sciences
                Microbiology
                Medical Microbiology
                Microbial Pathogens
                Viral Pathogens
                Immunodeficiency Viruses
                HIV
                HIV-1
                Medicine and Health Sciences
                Pathology and Laboratory Medicine
                Pathogens
                Microbial Pathogens
                Viral Pathogens
                Immunodeficiency Viruses
                HIV
                HIV-1
                Biology and Life Sciences
                Organisms
                Viruses
                Viral Pathogens
                Immunodeficiency Viruses
                HIV
                HIV-1
                Biology and Life Sciences
                Organisms
                Viruses
                Immunodeficiency Viruses
                HIV
                HIV-1
                Biology and life sciences
                Organisms
                Viruses
                RNA viruses
                Retroviruses
                Lentivirus
                HIV
                HIV-1
                Biology and Life Sciences
                Microbiology
                Medical Microbiology
                Microbial Pathogens
                Viral Pathogens
                Retroviruses
                Lentivirus
                HIV
                HIV-1
                Medicine and Health Sciences
                Pathology and Laboratory Medicine
                Pathogens
                Microbial Pathogens
                Viral Pathogens
                Retroviruses
                Lentivirus
                HIV
                HIV-1
                Biology and Life Sciences
                Organisms
                Viruses
                Viral Pathogens
                Retroviruses
                Lentivirus
                HIV
                HIV-1
                Biology and Life Sciences
                Biochemistry
                Enzymology
                Enzymes
                Proteases
                Serine Proteases
                Biology and Life Sciences
                Biochemistry
                Proteins
                Enzymes
                Proteases
                Serine Proteases
                Biology and Life Sciences
                Biochemistry
                Biochemical Simulations
                Biology and Life Sciences
                Computational Biology
                Biochemical Simulations
                Physical Sciences
                Chemistry
                Computational Chemistry
                Molecular Dynamics
                Physical Sciences
                Chemistry
                Physical Chemistry
                Chemical Bonding
                Hydrogen Bonding
                Physical Sciences
                Chemistry
                Chemical Compounds
                Organic Compounds
                Amino Acids
                Acidic Amino Acids
                Aspartic Acid
                Physical Sciences
                Chemistry
                Organic Chemistry
                Organic Compounds
                Amino Acids
                Acidic Amino Acids
                Aspartic Acid
                Biology and Life Sciences
                Biochemistry
                Proteins
                Amino Acids
                Acidic Amino Acids
                Aspartic Acid
                Biology and Life Sciences
                Psychology
                Addiction
                Addicts
                Drug Users
                Social Sciences
                Psychology
                Addiction
                Addicts
                Drug Users
                Custom metadata
                The Supporting Information includes additional information associated with this study. The Open Science Framework (see the URL at http://doi.org/10.17605/OSF.IO/NCFQM) includes the raw simulation data utilized to generate all of the Figures in the main text and the SI, the associated Narupa input files, and the videos referred to within the text. The specific version of the Narupa software used to generate the simulations discussed in the text is available at https://irl.itch.io/narupaxr. The videos referred to within the text are also hosted online at Vimeo, with the corresponding links given in the Supporting Information.

                Uncategorized
                Uncategorized

                Comments

                Comment on this article