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Dataset / Data from: Multiscale Simulations Examining Glycan Shield Effects on Drug Binding to ...

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Title
Data from: Multiscale Simulations Examining Glycan Shield Effects on Drug Binding to Influenza Neuraminidase
Creator
Amaro, Rommie E
McCammon, J. Andrew
Contributor
Seitz, Christian
Date Created and/or Issued
2017 to 2020
Contributing Institution
UC San Diego, Research Data Curation Program
Collection
Data from: Multiscale Simulations Examining Glycan Shield Effects on Drug Binding to Influenza Neuraminidase
Rights Information
Under copyright
Constraint(s) on Use: This work is protected by the U.S. Copyright Law (Title 17, U.S.C.). Use of this work beyond that allowed by "fair use" or any license applied to this work requires written permission of the copyright holder(s). Responsibility for obtaining permissions and any use and distribution of this work rests exclusively with the user and not the UC San Diego Library. Inquiries can be made to the UC San Diego Library program having custody of the work.
Use: This work is available from the UC San Diego Library. This digital copy of the work is intended to support research, teaching, and private study.
Rights Holder and Contact
UC Regents
Description
Abstract: Influenza neuraminidase is an important drug target. Glycans are present on neuraminidase and are generally considered to inhibit antibody binding via their glycan shield. In this work, we studied the effect of glycans on the binding kinetics of antiviral drugs to the influenza neuraminidase. We created all-atom in silico systems of influenza neuraminidase with experimentally derived glycoprofiles consisting of four systems with different glycan conformations and one system without glycans. Using Brownian dynamics simulations, we observe a two- to eightfold decrease in the rate of ligand binding to the primary binding site of neuraminidase due to the presence of glycans. These glycans are capable of covering much of the surface area of neuraminidase, and the ligand binding inhibition is derived from glycans sterically occluding the primary binding site on a neighboring monomer. Our work also indicates that drugs preferentially bind to the primary binding site (i.e., the active site) over the secondary binding site, and we propose a binding mechanism illustrating this. These results help illuminate the complex interplay between glycans and ligand binding on the influenza membrane protein neuraminidase.
This work was supported in part by grants from the National Institutes of Health, USA (NIH grant T32EB009380 to C.S. and GM031749 to J.A.M. and G.H.). This material is based upon work supported by the National Science Foundation Graduate Research Fellowship Program under Grant No. DGE-1650112 to C.S. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. This work used the Extreme Science and Engineering Discovery Environment (XSEDE), which is supported by National Science Foundation grant number ACI-1548562. This work used the Extreme Science and Engineering Discovery Environment (XSEDE) Comet at the San Diego Supercomputer Center (SDSC) through allocation csd373 to R.E.A.
Research Data Curation Program, UC San Diego, La Jolla, 92093-0175 (https://lib.ucsd.edu/rdcp)
Seitz, Christian; Casalino, Lorenzo; Konecny, Robert; Huber, Gary; Amaro, Rommie E.; McCammon, J. Andrew (2020). Data from: Multiscale Simulations Examining Glycan Shield Effects on Drug Binding to Influenza Neuraminidase. UC San Diego Library Digital Collections. https://doi.org/10.6075/J04J0CN8
Is Supplement To: Seitz, C., L. Casalino, R. Konecny, G. Huber, R. Amaro, J. A. McCammon, 2020. Multiscale Simulations Examining Glycan Shield Effects on Drug Binding to Influenza Neuraminidase. Biophys. J. https://doi.org/10.1016/j.bpj.2020.10.024
This object contains the input and output Brownian dynamics files from the paper: "Multiscale Simulations Examining Glycan Shield Effects on Drug Binding to Influenza Neuraminidase". The purpose of this object is to facilitate reproducibility of the Brownian dynamics trajectories.
Type
Dataset
Language
No linguistic content; Not applicable
Subject
Brownian dynamics (BD)
Glycans
Computational biology
Ligand kinetics
Molecular dynamics (MD)
Computational chemistry
Influenza
Ligand binding
Computational biophysics

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