Literature DB >> 19030602

Computational enzymology: insight into biological catalysts from modelling.

Marc W van der Kamp1, Adrian J Mulholland.   

Abstract

Molecular modelling and simulation can give atomic-level understanding of the fundamental mechanisms of enzyme catalysis. For example, modelling can identify likely enzyme reaction mechanisms, analyse catalytic interactions, and identify determinants of reactivity and specificity. Combined quantum mechanics/molecular mechanics (QM/MM) methods are an important technique in this maturing field of computational enzymology. By coupling quantum chemical (electronic structure) calculations on the active site with a simpler, empirical 'molecular mechanics' treatment of the rest of the protein, QM/MM methods allow the modelling of reactions in enzymes. In this Highlight, QM/MM techniques are outlined and some recent applications are discussed. These applications illustrate how calculations of this type can be used to interpret and complement experiments, with important potential implications for practical developments such as drug and catalyst design.

Mesh:

Substances:

Year:  2008        PMID: 19030602     DOI: 10.1039/b600517a

Source DB:  PubMed          Journal:  Nat Prod Rep        ISSN: 0265-0568            Impact factor:   13.423


  12 in total

1.  Charge-dependent many-body exchange and dispersion interactions in combined QM/MM simulations.

Authors:  Erich R Kuechler; Timothy J Giese; Darrin M York
Journal:  J Chem Phys       Date:  2015-12-21       Impact factor: 3.488

Review 2.  A practical guide to modelling enzyme-catalysed reactions.

Authors:  Richard Lonsdale; Jeremy N Harvey; Adrian J Mulholland
Journal:  Chem Soc Rev       Date:  2012-01-26       Impact factor: 54.564

3.  VR-SCOSMO: A smooth conductor-like screening model with charge-dependent radii for modeling chemical reactions.

Authors:  Erich R Kuechler; Timothy J Giese; Darrin M York
Journal:  J Chem Phys       Date:  2016-04-28       Impact factor: 3.488

4.  Application of a SCC-DFTB QM/MM approach to the investigation of the catalytic mechanism of fatty acid amide hydrolase.

Authors:  Luigi Capoferri; Marco Mor; Jitnapa Sirirak; Ewa Chudyk; Adrian J Mulholland; Alessio Lodola
Journal:  J Mol Model       Date:  2011-03-02       Impact factor: 1.810

5.  Computed structures of point deletion mutants and their enzymatic activities.

Authors:  Monica Berrondo; Jeffrey J Gray
Journal:  Proteins       Date:  2011-08-23

6.  Quantum mechanics/molecular mechanics modeling of fatty acid amide hydrolase reactivation distinguishes substrate from irreversible covalent inhibitors.

Authors:  Alessio Lodola; Luigi Capoferri; Silvia Rivara; Giorgio Tarzia; Daniele Piomelli; Adrian Mulholland; Marco Mor
Journal:  J Med Chem       Date:  2013-03-07       Impact factor: 7.446

Review 7.  Computer-Aided Protein Directed Evolution: a Review of Web Servers, Databases and other Computational Tools for Protein Engineering.

Authors:  Rajni Verma; Ulrich Schwaneberg; Danilo Roccatano
Journal:  Comput Struct Biotechnol J       Date:  2012-10-22       Impact factor: 7.271

8.  ALDH1A2 (RALDH2) genetic variation in human congenital heart disease.

Authors:  Marilene Pavan; Viviane F Ruiz; Fábio A Silva; Tiago J Sobreira; Roberta M Cravo; Michelle Vasconcelos; Lívia P Marques; Sonia M F Mesquita; José E Krieger; Antônio A B Lopes; Paulo S Oliveira; Alexandre C Pereira; José Xavier-Neto
Journal:  BMC Med Genet       Date:  2009-11-03       Impact factor: 2.103

9.  MonteCarbo: A software to generate and dock multifunctionalized ring molecules.

Authors:  Santiago Alonso-Gil
Journal:  J Comput Chem       Date:  2021-05-13       Impact factor: 3.376

10.  Unraveling the differences of the hydrolytic activity of Trypanosoma cruzi trans-sialidase and Trypanosoma rangeli sialidase: a quantum mechanics-molecular mechanics modeling study.

Authors:  Juan A Bueren-Calabuig; Gustavo Pierdominici-Sottile; Adrian E Roitberg
Journal:  J Phys Chem B       Date:  2014-05-21       Impact factor: 2.991

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.