Literature DB >> 16214343

Understanding nature's catalytic toolkit.

Alex Gutteridge1, Janet M Thornton.   

Abstract

Enzymes catalyse numerous reactions in nature, often causing spectacular accelerations in the catalysis rate. One aspect of understanding how enzymes achieve these feats is to explore how they use the limited set of residue side chains that form their 'catalytic toolkit'. Combinations of different residues form 'catalytic units' that are found repeatedly in different unrelated enzymes. Most catalytic units facilitate rapid catalysis in the enzyme active site either by providing charged groups to polarize substrates and to stabilize transition states, or by modifying the pKa values of other residues to provide more effective acids and bases. Given recent efforts to design novel enzymes, the rise of structural genomics and subsequent efforts to predict the function of enzymes from their structure, these units provide a simple framework to describe how nature uses the tools at her disposal, and might help to improve techniques for designing and predicting enzyme function.

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Year:  2005        PMID: 16214343     DOI: 10.1016/j.tibs.2005.09.006

Source DB:  PubMed          Journal:  Trends Biochem Sci        ISSN: 0968-0004            Impact factor:   13.807


  51 in total

1.  Local encoding of computationally designed enzyme activity.

Authors:  Malin Allert; Mary A Dwyer; Homme W Hellinga
Journal:  J Mol Biol       Date:  2006-12-05       Impact factor: 5.469

2.  How similar are enzyme active site geometries derived from quantum mechanical theozymes to crystal structures of enzyme-inhibitor complexes? Implications for enzyme design.

Authors:  Jason Dechancie; Fernando R Clemente; Adam J T Smith; Hakan Gunaydin; Yi-Lei Zhao; Xiyun Zhang; K N Houk
Journal:  Protein Sci       Date:  2007-09       Impact factor: 6.725

3.  Strong ionic hydrogen bonding causes a spectral isotope effect in photoactive yellow protein.

Authors:  Sandip Kaledhonkar; Miwa Hara; T Page Stalcup; Aihua Xie; Wouter D Hoff
Journal:  Biophys J       Date:  2013-12-03       Impact factor: 4.033

4.  Adapting Poisson-Boltzmann to the self-consistent mean field theory: application to protein side-chain modeling.

Authors:  Patrice Koehl; Henri Orland; Marc Delarue
Journal:  J Chem Phys       Date:  2011-08-07       Impact factor: 3.488

5.  In-Vitro Refolding and Characterization of Recombinant Laccase (CotA) From Bacillus pumilus MK001 and Its Potential for Phenolics Degradation.

Authors:  Sandeep Kumar; Kavish Kr Jain; Shikha Rani; Kailash N Bhardwaj; Manisha Goel; Ramesh Chander Kuhad
Journal:  Mol Biotechnol       Date:  2016-12       Impact factor: 2.695

6.  Structure and activity of the Pseudomonas aeruginosa hotdog-fold thioesterases PA5202 and PA2801.

Authors:  Claudio F Gonzalez; Anatoli Tchigvintsev; Greg Brown; Robert Flick; Elena Evdokimova; Xiaohui Xu; Jerzy Osipiuk; Marianne E Cuff; Susan Lynch; Andrzej Joachimiak; Alexei Savchenko; Alexander F Yakunin
Journal:  Biochem J       Date:  2012-06-15       Impact factor: 3.857

7.  Enzyme That Makes You Cry-Crystal Structure of Lachrymatory Factor Synthase from Allium cepa.

Authors:  Josie A Silvaroli; Matthew J Pleshinger; Surajit Banerjee; Philip D Kiser; Marcin Golczak
Journal:  ACS Chem Biol       Date:  2017-07-26       Impact factor: 5.100

8.  Pyocyanin degradation by a tautomerizing demethylase inhibits Pseudomonas aeruginosa biofilms.

Authors:  Kyle C Costa; Nathaniel R Glasser; Stuart J Conway; Dianne K Newman
Journal:  Science       Date:  2016-12-08       Impact factor: 47.728

9.  Prototypes of elementary functional loops unravel evolutionary connections between protein functions.

Authors:  Alexander Goncearenco; Igor N Berezovsky
Journal:  Bioinformatics       Date:  2010-09-15       Impact factor: 6.937

10.  Conserved main-chain peptide distortions: a proposed role for Ile203 in catalysis by dihydrodipicolinate synthase.

Authors:  Renwick C J Dobson; Michael D W Griffin; Sean R A Devenish; F Grant Pearce; Craig A Hutton; Juliet A Gerrard; Geoffrey B Jameson; Matthew A Perugini
Journal:  Protein Sci       Date:  2008-09-11       Impact factor: 6.725

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