FamClash: A method for ranking the activity of engineered enzymes

Manish C. Saraf, Alexander R. Horswill, Stephen J. Benkovic, Costas D. Maranas

Research output: Contribution to journalArticlepeer-review

57 Scopus citations

Abstract

This article introduces the computational procedure FamClash for analyzing incompatibilities in engineered protein hybrids by using protein family sequence data. All pairs of residue positions in the sequence alignment that conserve the property triplet of charge, volume, and hydrophobicity are first identified, and significant deviations are denoted as residue-residue clashes. This approach moves beyond earlier efforts aimed at solely classifying hybrids as functional or nonfunctional by correlating the rank ordering of these hybrids based on their activity levels. Experimental testing of this approach was performed in parallel to assess the predictive ability of FamClash. As a model system, single-crossover ITCHY (incremental truncation for the creation of hybrid enzymes) libraries were prepared from the Escherichia coli and Bacillus subtilis dihydrofolate reductases, and the activities of functional hybrids were determined. Comparisons of the predicted clash map as a function of crossover position revealed good agreement with activity data, reproducing the observed V shape and matching the location of a local peak in activity.

Original languageEnglish (US)
Pages (from-to)4142-4147
Number of pages6
JournalProceedings of the National Academy of Sciences of the United States of America
Volume101
Issue number12
DOIs
StatePublished - Mar 23 2004

All Science Journal Classification (ASJC) codes

  • General

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