Mining and evaluation of molecular relationships in literature | Zendy

Christian Senger | Zendy; Björn Grüning | Zendy; Anika Erxleben | Zendy; Kersten Döring | Zendy; Hitesh Patel | Zendy; Stephan Flemming | Zendy; Irmgard Merfort | Zendy; Stefan Günther | Zendy

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Mining and evaluation of molecular relationships in literature

Author(s) -

Christian Senger,

Björn Grüning,

Anika Erxleben,

Kersten Döring,

Hitesh Patel,

Stephan Flemming,

Irmgard Merfort,

Stefan Günther

Publication year - 2012

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/bts026

Subject(s) - pubchem , uniprot , computer science , information retrieval , cheminformatics , similarity (geometry) , computational biology , protein sequencing , protein superfamily , bioinformatics , world wide web , data mining , biology , gene , peptide sequence , genetics , artificial intelligence , image (mathematics)

Specific information on newly discovered proteins is often difficult to find in literature. Particularly if only sequences and no common names of proteins or genes are available, preceding sequence similarity searches can be crucial for the process of information collection. In drug research, it is important to know whether a small molecule targets only one specific protein or whether similar or homologous proteins are also influenced that may account for possible side effects.

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