Literature DB >> 24780274

Computational tools for designing and engineering enzymes.

Jiri Damborsky1, Jan Brezovsky2.   

Abstract

Protein engineering strategies aimed at constructing enzymes with novel or improved activities, specificities, and stabilities greatly benefit from in silico methods. Computational methods can be principally grouped into three main categories: bioinformatics; molecular modelling; and de novo design. Particularly de novo protein design is experiencing rapid development, resulting in more robust and reliable predictions. A recent trend in the field is to combine several computational approaches in an interactive manner and to complement them with structural analysis and directed evolution. A detailed investigation of designed catalysts provides valuable information on the structural basis of molecular recognition, biochemical catalysis, and natural protein evolution.
Copyright © 2013 Elsevier Ltd. All rights reserved.

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Year:  2013        PMID: 24780274     DOI: 10.1016/j.cbpa.2013.12.003

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


  43 in total

1.  Antibody humanization by structure-based computational protein design.

Authors:  Yoonjoo Choi; Casey Hua; Charles L Sentman; Margaret E Ackerman; Chris Bailey-Kellogg
Journal:  MAbs       Date:  2015-08-07       Impact factor: 5.857

2.  How mutational epistasis impairs predictability in protein evolution and design.

Authors:  Charlotte M Miton; Nobuhiko Tokuriki
Journal:  Protein Sci       Date:  2016-01-22       Impact factor: 6.725

3.  Computational studies of polyurethanases from Pseudomonas.

Authors:  Vanessa Petry do Canto; Claudia Elizabeth Thompson; Paulo Augusto Netz
Journal:  J Mol Model       Date:  2021-01-23       Impact factor: 1.810

4.  Filling the Void: Introducing Aromatic Interactions into Solvent Tunnels To Enhance Lipase Stability in Methanol.

Authors:  Shalev Gihaz; Margarita Kanteev; Yael Pazy; Ayelet Fishman
Journal:  Appl Environ Microbiol       Date:  2018-11-15       Impact factor: 4.792

5.  Rational design-based engineering of a thermostable phytase by site-directed mutagenesis.

Authors:  Azita Fakhravar; Ardeshir Hesampour
Journal:  Mol Biol Rep       Date:  2018-09-08       Impact factor: 2.316

6.  Dynamics and hydration explain failed functional transformation in dehalogenase design.

Authors:  Jan Sykora; Jan Brezovsky; Tana Koudelakova; Maryna Lahoda; Andrea Fortova; Tatsiana Chernovets; Radka Chaloupkova; Veronika Stepankova; Zbynek Prokop; Ivana Kuta Smatanova; Martin Hof; Jiri Damborsky
Journal:  Nat Chem Biol       Date:  2014-04-13       Impact factor: 15.040

Review 7.  The Need for Integrated Approaches in Metabolic Engineering.

Authors:  Anna Lechner; Elizabeth Brunk; Jay D Keasling
Journal:  Cold Spring Harb Perspect Biol       Date:  2016-11-01       Impact factor: 10.005

Review 8.  Organophosphate-Hydrolyzing Enzymes as First-Line of Defence Against Nerve Agent-Poisoning: Perspectives and the Road Ahead.

Authors:  A R Satvik Iyengar; Abhay H Pande
Journal:  Protein J       Date:  2016-12       Impact factor: 2.371

Review 9.  Computational strategies for the design of new enzymatic functions.

Authors:  K Świderek; I Tuñón; V Moliner; J Bertran
Journal:  Arch Biochem Biophys       Date:  2015-03-19       Impact factor: 4.013

10.  Enhancing the Thermostability of Rhizomucor miehei Lipase with a Limited Screening Library by Rational-Design Point Mutations and Disulfide Bonds.

Authors:  Guanlin Li; Xingrong Fang; Feng Su; Yuan Chen; Li Xu; Yunjun Yan
Journal:  Appl Environ Microbiol       Date:  2018-01-02       Impact factor: 4.792

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