Literature DB >> 23647554

Computational design gains momentum in enzyme catalysis engineering.

Hein J Wijma1, Dick B Janssen.   

Abstract

Computational protein design is becoming a powerful tool for tailoring enzymes for specific biotechnological applications. When applied to existing enzymes, computational re-design makes it possible to obtain orders of magnitude improvement in catalytic activity towards a new target substrate. Computational methods also allow the design of completely new active sites that catalyze reactions that are not known to occur in biological systems. If initial designs display modest catalytic activity, which is often the case, this may be improved by iterative cycles of computational design or by follow-up engineering through directed evolution. Compared to established protein engineering methods such as directed evolution and structure-based mutagenesis, computational design allows for much larger jumps in sequence space; for example, by introducing more than a dozen mutations in a single step or by introducing loops that provide new functional interactions. Recent advances in the computational design toolbox, which include new backbone re-design methods and the use of molecular dynamics simulations to better predict the catalytic activity of designed variants, will further enhance the use of computational tools in enzyme engineering.
© 2013 FEBS.

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Year:  2013        PMID: 23647554     DOI: 10.1111/febs.12324

Source DB:  PubMed          Journal:  FEBS J        ISSN: 1742-464X            Impact factor:   5.542


  13 in total

1.  Exploring the Development of Ground-State Destabilization and Transition-State Stabilization in Two Directed Evolution Paths of Kemp Eliminases.

Authors:  Garima Jindal; Balajee Ramachandran; Ram Prasad Bora; Arieh Warshel
Journal:  ACS Catal       Date:  2017-03-30       Impact factor: 13.084

Review 2.  Rational and Semirational Protein Design.

Authors:  Ivan V Korendovych
Journal:  Methods Mol Biol       Date:  2018

3.  Enzyme design: Functional Frankensteins.

Authors:  Olga V Makhlynets; Ivan V Korendovych
Journal:  Nat Chem       Date:  2016-08-24       Impact factor: 24.427

Review 4.  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

Review 5.  Computer aided enzyme design and catalytic concepts.

Authors:  Maria P Frushicheva; Matthew J L Mills; Patrick Schopf; Manoj K Singh; Ram B Prasad; Arieh Warshel
Journal:  Curr Opin Chem Biol       Date:  2014-05-08       Impact factor: 8.822

Review 6.  Production and Purification of Therapeutic Enzymes.

Authors:  M Ângela Taipa; Pedro Fernandes; Carla C C R de Carvalho
Journal:  Adv Exp Med Biol       Date:  2019       Impact factor: 2.622

7.  Computationally designed libraries for rapid enzyme stabilization.

Authors:  Hein J Wijma; Robert J Floor; Peter A Jekel; David Baker; Siewert J Marrink; Dick B Janssen
Journal:  Protein Eng Des Sel       Date:  2014-01-08       Impact factor: 1.650

Review 8.  Synthetic biology outside the cell: linking computational tools to cell-free systems.

Authors:  Daniel D Lewis; Fernando D Villarreal; Fan Wu; Cheemeng Tan
Journal:  Front Bioeng Biotechnol       Date:  2014-12-09

9.  Extending enzyme molecular recognition with an expanded amino acid alphabet.

Authors:  Claire L Windle; Katie J Simmons; James R Ault; Chi H Trinh; Adam Nelson; Arwen R Pearson; Alan Berry
Journal:  Proc Natl Acad Sci U S A       Date:  2017-02-14       Impact factor: 11.205

Review 10.  Synthetic biology for the directed evolution of protein biocatalysts: navigating sequence space intelligently.

Authors:  Andrew Currin; Neil Swainston; Philip J Day; Douglas B Kell
Journal:  Chem Soc Rev       Date:  2015-03-07       Impact factor: 54.564

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