A multi-template combination algorithm for protein comparative modeling.

ABSTRACT:

Background

Multiple protein templates are commonly used in manual protein structure prediction. However, few automated algorithms of selecting and combining multiple templates are available.

Results

Here we develop an effective multi-template combination algorithm for protein comparative modeling. The algorithm selects templates according to the similarity significance of the alignments between template and target proteins. It combines the whole template-target alignments whose similarity significance score is close to that of the top template-target alignment within a threshold, whereas it only takes alignment fragments from a less similar template-target alignment that align with a sizable uncovered region of the target. We compare the algorithm with the traditional method

SUBMITTER: Cheng J 

PROVIDER: S-EPMC2311309 | biostudies-literature | 2008 Mar

REPOSITORIES: biostudies-literature