Automatic annotation of protein residues in published papers. Issue 11 (8th November 2019)

• Record Type: Journal Article
• Authors: Firth, Robert; Talo, Francesco; Venkatesan, Aravind; Mukhopadhyay, Abhik; McEntyre, Johanna; Velankar, Sameer; Morris, Chris
• Is Part Of: Acta crystallographica. Volume 75:Issue 11(2019:Nov.)
• Page Start: 665
• Page End: 672
• Publication Date: 2019-11-08
• Subjects: NLP -- natural language processing -- named entity recognizer -- residue; Crystallography -- Periodicals; Crystals -- Periodicals; 548
• DOI: 10.1107/S2053230X1901210X
• Languages: English
• ISSNs: 2053-230X

Abstract

Abstract : An annotation tool is presented that automatically locates amino‐acid residues in published papers and matches them to protein structures within the paper. These matches can be provided in context or in a searchable format in order for researchers to better use the existing and future literature. Abstract : This work presents an annotation tool that automatically locates mentions of particular amino‐acid residues in published papers and identifies the protein concerned. These matches can be provided in context or in a searchable format in order for researchers to better use the existing and future literature.