Literature DB >> 10679382

Molecular modeling and biocatalysis: explanations, predictions, limitations, and opportunities.

R J Kazlauskas1.   

Abstract

Rapid advances in structural biology have revealed the three-dimensional structures of many biocatalysts. Molecular modeling is the tool that links these structures with experimental observations. As a qualitative tool, current modeling methods are extremely useful. They can explain, on a molecular level, unusual features of reactions. They can predict how to increase the selectivity either by substrate modification or by site-directed mutagenesis. Quantitative predictions, for example the degree of enantioselectivity, are still not reliable, however. Modeling is limited also by the availability of three-dimensional structures. Most current modeling involves hydrolases, especially proteases and lipases, but structures for other types of enzymes are starting to appear.

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Year:  2000        PMID: 10679382     DOI: 10.1016/s1367-5931(99)00056-3

Source DB:  PubMed          Journal:  Curr Opin Chem Biol        ISSN: 1367-5931            Impact factor:   8.822


  6 in total

1.  A model of the pressure dependence of the enantioselectivity of Candida rugosalipase towards (+/-)-menthol.

Authors:  U H Kahlow; R D Schmid; J Pleiss
Journal:  Protein Sci       Date:  2001-10       Impact factor: 6.725

2.  Thoroughly sampling sequence space: large-scale protein design of structural ensembles.

Authors:  Stefan M Larson; Jeremy L England; John R Desjarlais; Vijay S Pande
Journal:  Protein Sci       Date:  2002-12       Impact factor: 6.725

3.  Substrate entropy in enzyme enantioselectivity: an experimental and molecular modeling study of a lipase.

Authors:  Jenny Ottosson; Linda Fransson; Karl Hult
Journal:  Protein Sci       Date:  2002-06       Impact factor: 6.725

4.  Model and molecular dynamic simulations of active and inactive endo-beta-1,4-mannanase in tomato fruit.

Authors:  Jiahuang Li; J Derek Bewley; Zichun Hua; Weijuan Zheng; Aoxue Wang
Journal:  Protein J       Date:  2008-09       Impact factor: 2.371

Review 5.  Lipase improvement: goals and strategies.

Authors:  Arnau Bassegoda; Silvia Cesarini; Pilar Diaz
Journal:  Comput Struct Biotechnol J       Date:  2012-10-15       Impact factor: 7.271

6.  Understanding structural features of microbial lipases--an overview.

Authors:  John Geraldine Sandana Mala; Satoru Takeuchi
Journal:  Anal Chem Insights       Date:  2008-03-27
  6 in total

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