相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。InChI - the worldwide chemical structure identifier standard
Stephen Heller et al.
JOURNAL OF CHEMINFORMATICS (2013)
Improved Chemical Text Mining of Patents with Infinite Dictionaries and Automatic Spelling Correction
Roger Sayle et al.
JOURNAL OF CHEMICAL INFORMATION AND MODELING (2012)
Exploiting Structural Information in Patent Specifications for Key Compound Prediction
Christian Tyrchan et al.
JOURNAL OF CHEMICAL INFORMATION AND MODELING (2012)
Consistency of systematic chemical identifiers within and between small-molecule databases
Saber A. Akhondi et al.
JOURNAL OF CHEMINFORMATICS (2012)
Making every SAR point count: the development of Chemistry Connect for the large-scale integration of structure and bioactivity data
Sorel Muresan et al.
DRUG DISCOVERY TODAY (2011)
Text Mining for Drugs and Chemical Compounds: Methods, Tools and Applications
Miguel Vazquez et al.
MOLECULAR INFORMATICS (2011)
Analysis of in vitro bioactivity data extracted from drug discovery literature and patents: Ranking 1654 human protein targets by assayed compounds and molecular scaffolds
Christopher Southan et al.
JOURNAL OF CHEMINFORMATICS (2011)
Mining chemical information from open patents
David M. Jessop et al.
JOURNAL OF CHEMINFORMATICS (2011)
Chemical Entities of Biological Interest: an update
Paula de Matos et al.
NUCLEIC ACIDS RESEARCH (2010)
Detection of IUPAC and IUPAC-like chemical names
Roman Klinger et al.
BIOINFORMATICS (2008)
ChEBI: a database and ontology for chemical entities of biological interest
Kirill Degtyarenko et al.
NUCLEIC ACIDS RESEARCH (2008)
Text mining techniques for patent analysis
Yuen-Hsien Tseng et al.
INFORMATION PROCESSING & MANAGEMENT (2007)
Identification of new drug classification terms in textual resources
Corinna Kolarik et al.
BIOINFORMATICS (2007)
Information extraction in the life sciences: Perspectives for medicinal chemistry, pharmacology and toxicology
M Zimmermann et al.
CURRENT TOPICS IN MEDICINAL CHEMISTRY (2005)
GENIA corpus-a semantically annotated corpus for bio-textmining
J-D Kim et al.
BIOINFORMATICS (2003)