Literature DB >> 14983083

Using a residue clash map to functionally characterize protein recombination hybrids.

Manish C Saraf1, Costas D Maranas.   

Abstract

In this article, we introduce a rapid, protein sequence database-driven approach to characterize all contacting residue pairs present in protein hybrids for inconsistency with protein family structural features. This approach is based on examining contacting residue pairs with different parental origins for different types of potentially unfavorable interactions (i.e. electrostatic repulsion, steric hindrance, cavity formation and hydrogen bond disruption). The identified clashing residue pairs between members of a protein family are then contrasted against functionally characterized hybrid libraries. Comparisons for five different protein recombination studies available in the literature: (i) glycinamide ribonucleotide transformylase (GART) from Escherichia coli (purN) and human (hGART), (ii) human Mu class glutathione S-transferase (GST) M1-1 and M2-2, (iii) beta-lactamase TEM-1 and PSE-4, (iv) catechol-2,3-oxygenase xylE and nahH, and (v) dioxygenases (toluene dioxygenase, tetrachlorobenzene dioxygenase and biphenyl dioxygenase) reveal that the patterns of identified clashing residue pairs are remarkably consistent with experimentally found patterns of functional crossover profiles. Specifically, we show that the proposed residue clash maps are on average 5.0 times more effective than randomly generated clashes and 1.6 times more effective than residue contact maps at explaining the observed crossover distributions among functional members of hybrid libraries. This suggests that residue clash maps can provide quantitative guidelines for the placement of crossovers in the design of protein recombination experiments.

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Year:  2003        PMID: 14983083     DOI: 10.1093/protein/gzg129

Source DB:  PubMed          Journal:  Protein Eng        ISSN: 0269-2139


  9 in total

1.  FamClash: a method for ranking the activity of engineered enzymes.

Authors:  Manish C Saraf; Alexander R Horswill; Stephen J Benkovic; Costas D Maranas
Journal:  Proc Natl Acad Sci U S A       Date:  2004-02-23       Impact factor: 11.205

2.  IPRO: an iterative computational protein library redesign and optimization procedure.

Authors:  Manish C Saraf; Gregory L Moore; Nina M Goodey; Vania Y Cao; Stephen J Benkovic; Costas D Maranas
Journal:  Biophys J       Date:  2006-03-02       Impact factor: 4.033

3.  A divide-and-conquer approach to determine the Pareto frontier for optimization of protein engineering experiments.

Authors:  Lu He; Alan M Friedman; Chris Bailey-Kellogg
Journal:  Proteins       Date:  2011-12-16

4.  Computational Redesign of Acyl-ACP Thioesterase with Improved Selectivity toward Medium-Chain-Length Fatty Acids.

Authors:  Matthew J Grisewood; Néstor J Hernandez Lozada; James B Thoden; Nathanael P Gifford; Daniel Mendez-Perez; Haley A Schoenberger; Matthew F Allan; Martha E Floy; Rung-Yi Lai; Hazel M Holden; Brian F Pfleger; Costas D Maranas
Journal:  ACS Catal       Date:  2017-04-20       Impact factor: 13.084

5.  Complex recombination patterns arising during geminivirus coinfections preserve and demarcate biologically important intra-genome interaction networks.

Authors:  Darren P Martin; Pierre Lefeuvre; Arvind Varsani; Murielle Hoareau; Jean-Yves Semegni; Betty Dijoux; Claire Vincent; Bernard Reynaud; Jean-Michel Lett
Journal:  PLoS Pathog       Date:  2011-09-15       Impact factor: 6.823

6.  STAR: predicting recombination sites from amino acid sequence.

Authors:  Denis C Bauer; Mikael Bodén; Ricarda Thier; Elizabeth M Gillam
Journal:  BMC Bioinformatics       Date:  2006-10-08       Impact factor: 3.169

7.  OptZyme: computational enzyme redesign using transition state analogues.

Authors:  Matthew J Grisewood; Nathanael P Gifford; Robert J Pantazes; Ye Li; Patrick C Cirino; Michael J Janik; Costas D Maranas
Journal:  PLoS One       Date:  2013-10-07       Impact factor: 3.240

8.  Structural and functional roles of coevolved sites in proteins.

Authors:  Saikat Chakrabarti; Anna R Panchenko
Journal:  PLoS One       Date:  2010-01-06       Impact factor: 3.240

9.  Avoidance of protein fold disruption in natural virus recombinants.

Authors:  Pierre Lefeuvre; Jean-Michel Lett; Bernard Reynaud; Darren P Martin
Journal:  PLoS Pathog       Date:  2007-11       Impact factor: 6.823

  9 in total

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