Improving the performance of DomainParser for structural domain partition using neural network.

ABSTRACT: Structural domains are considered as the basic units of protein folding, evolution, function and design. Automatic decomposition of protein structures into structural domains, though after many years of investigation, remains a challenging and unsolved problem. Manual inspection still plays a key role in domain decomposition of a protein structure. We have previously developed a computer program, DomainParser, using network flow algorithms. The algorithm partitions a protein structure into domains accurately when the number of domains to be partitioned is known. However the performance drops when this number is unclear (the overall performance is 74.5% over a set of 1317 protein chains). Through utilization of various types of structural information including hydrophobic moment profile, we

SUBMITTER: Guo JT 

PROVIDER: S-EPMC149209 | biostudies-literature | 2003 Feb

REPOSITORIES: biostudies-literature