STAR: predicting recombination sites from amino acid sequence.

ABSTRACT:

Background

Designing novel proteins with site-directed recombination has enormous prospects. By locating effective recombination sites for swapping sequence parts, the probability that hybrid sequences have the desired properties is increased dramatically. The prohibitive requirements for applying current tools led us to investigate machine learning to assist in finding useful recombination sites from amino acid sequence alone.

Results

We present STAR, Site Targeted Amino acid Recombination predictor, which produces a score indicating the structural disruption caused by recombination, for each position in an amino acid sequence. Example predictions contrasted with those of alternative tools, illustrate STAR'S utility to assist in determining useful recombination sites. Overa

SUBMITTER: Bauer DC 

PROVIDER: S-EPMC1624854 | biostudies-literature | 2006 Oct

REPOSITORIES: biostudies-literature