Literature DB >> 30317486

Computational Methods for Modeling Metalloproteins.

Martin T Stiebritz1, Yilin Hu2.   

Abstract

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.

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

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Year:  2019        PMID: 30317486     DOI: 10.1007/978-1-4939-8864-8_16

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  1 in total

1.  Computational analysis of the metal selectivity of matrix metalloproteinase 8.

Authors:  Zheng Long
Journal:  PLoS One       Date:  2020-12-04       Impact factor: 3.240

  1 in total

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