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PyProtModel: An easy to use GUI for comparative protein modeling.

Authors :
Sisakht, Mohsen
Bemani, Peyman
Ghadim, Mir Behrad Aghazadeh
Rahimi, Amir
Sakhteman, Amirhossein
Source :
Journal of Molecular Graphics & Modelling. May2022, Vol. 112, pN.PAG-N.PAG. 1p.
Publication Year :
2022

Abstract

A deep insight into the 3D structures of the proteins is essential to understand their functions and will be helpful in drug design and making decisions for the treatment of diseases. The 3D structure for less than one-thousandth of the protein sequences has been determined so far due to the slow structure elucidation procedures with experimental methods, such as X-ray. For this reason, different computational methods were used to determine the structure of the proteins, including template-based and de novo approaches. Much software has been developed to facilitate the computational approaches in protein modeling, some of which need user expertise and extensive knowledge in bioinformatics. The present study attempted to provide a user-friendly environment to motivate the researchers in computational biology, a Python-based interface based on MODELLER software. PyProtModel can be used as a toolbox in structural bioinformatics for protein modeling from sequence to the prediction of 3D structure. In addition, the users can take benefits of PyProtModel in order to prepare and evaluate protein PDB files prior to other in silico experiments. PyProtModel allows the user to apply different MODELLER options, automates, and speeds up time-consuming homology modeling steps. Different aspects of PyProtModel and a comprehensive view of the application will be discussed in this paper. The application is available for download and use at: https://github.com/msisakht/pyprotmodel.git. [Display omitted] • PyProtModel is a new interface to handle different homology modeling tasks. • Different features of PyProtModel with other interfaces were discussed. • A workflow to all modules of PyProtModel was depicted for the users. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10933263
Volume :
112
Database :
Academic Search Index
Journal :
Journal of Molecular Graphics & Modelling
Publication Type :
Academic Journal
Accession number :
155286838
Full Text :
https://doi.org/10.1016/j.jmgm.2022.108134