Literature DB >> 27117497

Protein environmental effects on iron-sulfur clusters: A set of rules for constructing computational models for inner and outer coordination spheres.

Travis V Harris1, Robert K Szilagyi1.   

Abstract

The structural properties and reactivity of iron-sulfur proteins are greatly affected by interactions between the prosthetic groups and the surrounding amino acid residues. Thus, quantum chemical investigations of the structure and properties of protein-bound iron-sulfur clusters can be severely limited by truncation of computational models. The aim of this study was to identify, a priori, significant interactions that must be included in a quantum chemical model. Using the [2Fe-2S] accessory cluster of the FeFe-hydrogenase as a demonstrative example with rich electronic structural features, the electrostatic and covalent effects of the surrounding side chains, charged groups, and backbone moieties were systematically mapped through density functional theoretical calculations. Electron affinities, spin density differences, and delocalization indexes from the quantum theory of atoms in molecules were used to evaluate the importance of each interaction. Case studies for hydrogen bonding and charged side-chain interactions were used to develop selection rules regarding the significance of a given protein environmental effect. A set of general rules is proposed for constructing quantum chemical models for iron-sulfur active sites that capture all significant interactions from the protein environment. This methodology was applied to our previously used models in galactose oxidase and the 6Fe-cluster of FeFe-hydrogenase.
© 2016 Wiley Periodicals, Inc. © 2016 Wiley Periodicals, Inc.

Entities:  

Keywords:  bond covalency; hydrogen bonding; inner and outer coordination spheres; ionic interactions; iron-sulfur clusters; protein environment

Mesh:

Substances:

Year:  2016        PMID: 27117497     DOI: 10.1002/jcc.24384

Source DB:  PubMed          Journal:  J Comput Chem        ISSN: 0192-8651            Impact factor:   3.376


  7 in total

1.  Theoretical insights into [NiFe]-hydrogenases oxidation resulting in a slowly reactivating inactive state.

Authors:  Raffaella Breglia; Manuel Antonio Ruiz-Rodriguez; Alessandro Vitriolo; Rubén Francisco Gonzàlez-Laredo; Luca De Gioia; Claudio Greco; Maurizio Bruschi
Journal:  J Biol Inorg Chem       Date:  2016-11-21       Impact factor: 3.358

2.  Revealing quantum mechanical effects in enzyme catalysis with large-scale electronic structure simulation.

Authors:  Zhongyue Yang; Rimsha Mehmood; Mengyi Wang; Helena W Qi; Adam H Steeves; Heather J Kulik
Journal:  React Chem Eng       Date:  2018-11-29       Impact factor: 4.239

3.  Large-scale QM/MM free energy simulations of enzyme catalysis reveal the influence of charge transfer.

Authors:  Heather J Kulik
Journal:  Phys Chem Chem Phys       Date:  2018-08-08       Impact factor: 3.676

4.  How Large Should the QM Region Be in QM/MM Calculations? The Case of Catechol O-Methyltransferase.

Authors:  Heather J Kulik; Jianyu Zhang; Judith P Klinman; Todd J Martínez
Journal:  J Phys Chem B       Date:  2016-10-28       Impact factor: 2.991

5.  Ionization Energies and Redox Potentials of Hydrated Transition Metal Ions: Evaluation of Domain-Based Local Pair Natural Orbital Coupled Cluster Approaches.

Authors:  Sinjini Bhattacharjee; Miho Isegawa; Miquel Garcia-Ratés; Frank Neese; Dimitrios A Pantazis
Journal:  J Chem Theory Comput       Date:  2022-02-22       Impact factor: 6.006

6.  Benchmark Study of Redox Potential Calculations for Iron-Sulfur Clusters in Proteins.

Authors:  Sonia Jafari; Yakini A Tavares Santos; Justin Bergmann; Mehdi Irani; Ulf Ryde
Journal:  Inorg Chem       Date:  2022-04-11       Impact factor: 5.436

7.  Cheminformatic quantum mechanical enzyme model design: A catechol-O-methyltransferase case study.

Authors:  Thomas J Summers; Qianyi Cheng; Manuel A Palma; Diem-Trang Pham; Dudley K Kelso; Charles Edwin Webster; Nathan J DeYonker
Journal:  Biophys J       Date:  2021-08-04       Impact factor: 3.699

  7 in total

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