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Protein3D: Enabling analysis and extraction of metal-containing sites from the Protein Data Bank with molSimplify.

Authors :
Edholm F
Nandy A
Reinhardt CR
Kastner DW
Kulik HJ
Source :
Journal of computational chemistry [J Comput Chem] 2024 Mar 05; Vol. 45 (6), pp. 352-361. Date of Electronic Publication: 2023 Oct 24.
Publication Year :
2024

Abstract

Metalloenzymes catalyze a wide range of chemical transformations, with the active site residues playing a key role in modulating chemical reactivity and selectivity. Unlike smaller synthetic catalysts, a metalloenzyme active site is embedded in a larger protein, which makes interrogation of electronic properties and geometric features with quantum mechanical calculations challenging. Here we implement the ability to fetch crystallographic structures from the Protein Data Bank and analyze the metal binding sites in the program molSimplify. We show the usefulness of the newly created protein3D class to extract the local environment around non-heme iron enzymes containing a two histidine motif and prepare 372 structures for quantum mechanical calculations. Our implementation of protein3D serves to expand the range of systems molSimplify can be used to analyze and will enable high-throughput study of metal-containing active sites in proteins.<br /> (© 2023 The Authors. Journal of Computational Chemistry published by Wiley Periodicals LLC.)

Details

Language :
English
ISSN :
1096-987X
Volume :
45
Issue :
6
Database :
MEDLINE
Journal :
Journal of computational chemistry
Publication Type :
Academic Journal
Accession number :
37873926
Full Text :
https://doi.org/10.1002/jcc.27242