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Ten quick tips for homology modeling of high-resolution protein 3D structures
Author(s) -
Yazan Haddad,
Vojtěch Adam,
Zbyněk Heger
Publication year - 2020
Publication title -
plos computational biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.628
H-Index - 182
eISSN - 1553-7358
pISSN - 1553-734X
DOI - 10.1371/journal.pcbi.1007449
Subject(s) - homology modeling , computer science , homology (biology) , computational biology , protein structure prediction , molecular model , computational science , bioinformatics , protein structure , data science , software engineering , biology , genetics , biochemistry , gene , enzyme
Author summary The purpose of this quick guide is to help new modelers who have little or no background in comparative modeling yet are keen to produce high-resolution protein 3D structures for their study by following systematic good modeling practices, using affordable personal computers or online computational resources. Through the available experimental 3D-structure repositories, the modeler should be able to access and use the atomic coordinates for building homology models. We also aim to provide the modeler with a rationale behind making a simple list of atomic coordinates suitable for computational analysis abiding to principles of physics (e.g., molecular mechanics). Keeping that objective in mind, these quick tips cover the process of homology modeling and some postmodeling computations such as molecular docking and molecular dynamics (MD). A brief section was left for modeling nonprotein molecules, and a short case study of homology modeling is discussed.

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