Journal Article

FZJ-2024-02218

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png pyGOMoDo: GPCRs modeling and docking with python

Ribeiro, R. P. ; Giorgetti, A. (Corresponding author)FZJ*

2023
Oxford Univ. Press Oxford

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Please use a persistent id in citations: doi:10.1093/bioinformatics/btad294  doi:10.34734/FZJ-2024-02218

Abstract: Motivation: We present pyGOMoDo, a Python library to perform homology modeling and docking, specifically designed for human GPCRs.pyGOMoDo is a python wrap-up of the updated functionalities of GOMoDo web server (https://molsim.sci.univr.it/gomodo). It was developedhaving in mind its usage through Jupyter notebooks, where users can create their own protocols of modeling and docking of GPCRs. In this article, we focus on the internal structure and general capabilities of pyGOMoDO and on how it can be useful for carrying out structural biology studies of GPCRs.Results: The source code is freely available at https://github.com/rribeiro-sci/pygomodo under the Apache 2.0 license. Tutorial notebooks containing minimal working examples can be found at https://github.com/rribeiro-sci/pygomodo/tree/main/examples.

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Contributing Institute(s):

1. Computational Biomedicine (IAS-5)
2. Computational Biomedicine (INM-9)

Research Program(s):

1. 5241 - Molecular Information Processing in Cellular Systems (POF4-524) (POF4-524)

Appears in the scientific report 2024

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