Literature DB >> 26825974

A fast loop-closure algorithm to accelerate residue matching in computational enzyme design.

Jing Xue1, Xiaoqiang Huang1, Min Lin1, Yushan Zhu2.   

Abstract

Constructing an active site on an inert scaffold is still a challenge in chemical biology. Herein, we describe the incorporation of a Newton-direction-based fast loop-closure algorithm for catalytic residue matching into our enzyme design program ProdaMatch. This was developed to determine the sites and geometries of the catalytic residues as well as the position of the transition state with high accuracy in order to satisfy the geometric constraints on the interactions between catalytic residues and the transition state. Loop-closure results for 64,827 initial loops derived from 21 loops in the test set showed that 99.51% of the initial loops closed to within 0.05 Å in fewer than 400 iteration steps, while the large majority of the initial loops closed within 100 iteration steps. The revised version of ProdaMatch containing the novel loop-closure algorithm identified all native matches for ten scaffolds in the native active-site recapitulation test. Its high speed and accuracy when matching catalytic residues with a scaffold make this version of ProdaMatch potentially useful for scaffold selection through the incorporation of more complex theoretical enzyme models which may yield higher initial activities in de novo enzyme design.

Entities:  

Keywords:  Computational enzyme design; Loop closure algorithm; Numerical optimization; Protein design

Mesh:

Substances:

Year:  2016        PMID: 26825974     DOI: 10.1007/s00894-016-2915-2

Source DB:  PubMed          Journal:  J Mol Model        ISSN: 0948-5023            Impact factor:   1.810


  31 in total

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Journal:  Nature       Date:  2001-01-11       Impact factor: 49.962

2.  Cyclic coordinate descent: A robotics algorithm for protein loop closure.

Authors:  Adrian A Canutescu; Roland L Dunbrack
Journal:  Protein Sci       Date:  2003-05       Impact factor: 6.725

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Authors:  Evangelos A Coutsias; Chaok Seok; Matthew P Jacobson; Ken A Dill
Journal:  J Comput Chem       Date:  2004-03       Impact factor: 3.376

4.  Iterative approach to computational enzyme design.

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Journal:  Proc Natl Acad Sci U S A       Date:  2012-02-22       Impact factor: 11.205

5.  Computational design of an enzyme catalyst for a stereoselective bimolecular Diels-Alder reaction.

Authors:  Justin B Siegel; Alexandre Zanghellini; Helena M Lovick; Gert Kiss; Abigail R Lambert; Jennifer L St Clair; Jasmine L Gallaher; Donald Hilvert; Michael H Gelb; Barry L Stoddard; Kendall N Houk; Forrest E Michael; David Baker
Journal:  Science       Date:  2010-07-16       Impact factor: 47.728

6.  Automated scaffold selection for enzyme design.

Authors:  Christoph Malisi; Oliver Kohlbacher; Birte Höcker
Journal:  Proteins       Date:  2009-10

Review 7.  Theozymes and compuzymes: theoretical models for biological catalysis.

Authors:  D J Tantillo; J Chen; K N Houk
Journal:  Curr Opin Chem Biol       Date:  1998-12       Impact factor: 8.822

8.  Systematic optimization model and algorithm for binding sequence selection in computational enzyme design.

Authors:  Xiaoqiang Huang; Kehang Han; Yushan Zhu
Journal:  Protein Sci       Date:  2013-06-06       Impact factor: 6.725

Review 9.  Protein folding and de novo protein design for biotechnological applications.

Authors:  George A Khoury; James Smadbeck; Chris A Kieslich; Christodoulos A Floudas
Journal:  Trends Biotechnol       Date:  2013-11-19       Impact factor: 19.536

10.  Fast protein loop sampling and structure prediction using distance-guided sequential chain-growth Monte Carlo method.

Authors:  Ke Tang; Jinfeng Zhang; Jie Liang
Journal:  PLoS Comput Biol       Date:  2014-04-24       Impact factor: 4.475

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  2 in total

1.  Co-evolution of β-glucosidase activity and product tolerance for increasing cellulosic ethanol yield.

Authors:  Kexin Wang; Qiuxia Huang; Hanxin Li; Xihua Zhao
Journal:  Biotechnol Lett       Date:  2020-06-24       Impact factor: 2.461

2.  Use of an Improved Matching Algorithm to Select Scaffolds for Enzyme Design Based on a Complex Active Site Model.

Authors:  Xiaoqiang Huang; Jing Xue; Min Lin; Yushan Zhu
Journal:  PLoS One       Date:  2016-05-31       Impact factor: 3.240

  2 in total

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