Mapping SNPs to protein sequence and structure data | Zendy

Anna Lina Cavallo | Zendy; Andrew C.R. Martin | Zendy

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Mapping SNPs to protein sequence and structure data

Author(s) -

Anna Lina Cavallo,

Andrew C.R. Martin

Publication year - 2004

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/bti220

Subject(s) - missense mutation , protein data bank (rcsb pdb) , protein data bank , single nucleotide polymorphism , genetics , dbsnp , computational biology , protein structure , mutation , amino acid residue , sequence (biology) , biology , computer science , peptide sequence , gene , genotype , biochemistry

Data on both single nucleotide polymorphisms and disease-related mutations are being collected at ever-increasing rates. To understand the structural effects of missense mutations, we consider both classes under the term single amino acid polymorphisms (SAAPs) and we wish to map these to protein structure where their effects can be analyzed. Our initial aim therefore is to create a completely automatically maintained database of SAAPs mapped to individual residues in the Protein Data Bank (PDB) updated as new mutations or structures become available.

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