pyGOMoDo: GPCRs modeling and docking with python

Author:

Ribeiro Rui P12,Giorgetti A12ORCID

Affiliation:

1. Computational Biomedicine - IAS-5/INM-9, Forschungszentrum Jülich , Jülich, Germany

2. Department of Biotechnology, University of Verona , Verona 34134, Italy

Abstract

AbstractMotivationWe 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 developed having 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.ResultsThe 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.

Funder

Ministry of University and Research

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Protons taken hostage: Dynamic H-bond networks of the pH-sensing GPR68;Computational and Structural Biotechnology Journal;2023

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