Automatic extraction of protein point mutations using a graph bigram association.

ABSTRACT: Protein point mutations are an essential component of the evolutionary and experimental analysis of protein structure and function. While many manually curated databases attempt to index point mutations, most experimentally generated point mutations and the biological impacts of the changes are described in the peer-reviewed published literature. We describe an application, Mutation GraB (Graph Bigram), that identifies, extracts, and verifies point mutations from biomedical literature. The principal problem of point mutation extraction is to link the point mutation with its associated protein and organism of origin. Our algorithm uses a graph-based bigram traversal to identify these relevant associations and exploits the Swiss-Prot protein database to verify this information. The graph big

SUBMITTER: Lee LC 

PROVIDER: S-EPMC1794323 | biostudies-literature | 2007 Feb

REPOSITORIES: biostudies-literature