Computational Methods for Modeling Metalloproteins.

Broken symmetry CO2 reduction Density functional theory (DFT) Fe4S4 clusters Homology modeling Nitrogenase Fe proteins

Journal

Methods in molecular biology (Clifton, N.J.)
ISSN: 1940-6029
Titre abrégé: Methods Mol Biol
Pays: United States
ID NLM: 9214969

Informations de publication

Date de publication:
2019
Historique:
entrez: 15 10 2018
pubmed: 15 10 2018
medline: 14 6 2019
Statut: ppublish

Résumé

Metalloproteins are challenging objects if we want to investigate their chemical reactivity with theoretical approaches such as density functional theory (DFT). The complexity of these biomolecules often requires us to find a compromise between accuracy and feasibility, one that is tailored to the questions we set out to answer. In this chapter, we discuss computational approaches to studying chemical reactions in metalloproteins and how to utilize the information hidden in homologous proteins.

Identifiants

pubmed: 30317486
doi: 10.1007/978-1-4939-8864-8_16
doi:

Substances chimiques

Metalloproteins 0

Types de publication

Journal Article Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

245-266

Auteurs

Martin T Stiebritz (MT)

Department of Molecular Biology and Biochemistry, University of California, Irvine, Irvine, CA, USA. mstiebri@uci.edu.

Yilin Hu (Y)

Department of Molecular Biology and Biochemistry, University of California, Irvine, Irvine, CA, USA. yilinh@uci.edu.

Articles similaires

alpha-Synuclein Humans Animals Mice Lewy Body Disease
Humans Colorectal Neoplasms Biomarkers, Tumor Prognosis Gene Expression Regulation, Neoplastic
Metabolic Networks and Pathways Saccharomyces cerevisiae Computational Biology Synthetic Biology Computer Simulation

Classifications MeSH