ResBoost: characterizing and predicting catalytic residues in enzymes.

ABSTRACT:

Background

Identifying the catalytic residues in enzymes can aid in understanding the molecular basis of an enzyme's function and has significant implications for designing new drugs, identifying genetic disorders, and engineering proteins with novel functions. Since experimentally determining catalytic sites is expensive, better computational methods for identifying catalytic residues are needed.

Results

We propose ResBoost, a new computational method to learn characteristics of catalytic residues. The method effectively selects and combines rules of thumb into a simple, easily interpretable logical expression that can be used for prediction. We formally define the rules of thumb that are often used to narrow the list of candidate residues, including residue evolutionary co

SUBMITTER: Alterovitz R 

PROVIDER: S-EPMC2713229 | biostudies-literature | 2009 Jun

REPOSITORIES: biostudies-literature