4.4 Article

Web-4D-QSAR: A web-based application to generate 4D-QSAR descriptors

Journal

JOURNAL OF COMPUTATIONAL CHEMISTRY
Volume 39, Issue 15, Pages 917-924

Publisher

WILEY
DOI: 10.1002/jcc.25166

Keywords

4D-QSAR; molecular dynamics; interaction energy descriptors; web software; Python

Funding

  1. CNPq

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A web-based application is developed to generate 4D-QSAR descriptors using the LQTA-QSAR methodology, based on molecular dynamics (MD) trajectories and topology information retrieved from the GROMACS package. The LQTAGrid module calculates the intermolecular interaction energies at each grid point, considering probes and all aligned conformations resulting from MD simulations. These interaction energies are the independent variables or descriptors employed in a QSAR analysis. A friendly front end web interface, built using the Django framework and Python programming language, integrates all steps of the LQTA-QSAR methodology in a way that is transparent to the user, and in the backend, GROMACS and LQTAGrid are executed to generate 4D-QSAR descriptors to be used later in the process of QSAR model building. (c) 2018 Wiley Periodicals, Inc.

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