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Pharmspresso specifications


Unique identifier OMICS_25210
Name Pharmspresso
Interface Web user interface
Restrictions to use None
Computer skills Basic
Maintained No


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Publication for Pharmspresso

Pharmspresso citations


A corpus for plant chemical relationships in the biomedical domain

BMC Bioinformatics
PMCID: 5029005
PMID: 27650402
DOI: 10.1186/s12859-016-1249-5

[…] hin a sentence and across sentence boundaries. Along with [, ], there are several chemical- or drug-related corpora such as Comparative Toxicogenomics Database corpus [] and a corpus contained in the Pharmspresso database []. However, there are so far no publicly available corpora for plant–chemical relationships.Jensen et al. [] proposed an integrated text mining approach and chemoinformatics ana […]


Using Nanoinformatics Methods for Automatically Identifying Relevant Nanotoxicology Entities from the Literature

Biomed Res Int
PMCID: 3591181
PMID: 23509721
DOI: 10.1155/2013/410294

[…] topic in biomedical informatics research, since many different systems for automatically indexing and searching the biomedical literature have been developed over the last few years. Examples include Pharmspresso [], an information retrieval and extraction system for pharmacogenomic-related literature that follows a dictionary-based approach to identify instances of genes, drugs, polymorphisms and […]


Using ODIN for a PharmGKB revalidation experiment

PMCID: 3332569
PMID: 22529178
DOI: 10.1093/database/bas021

[…] presso is another well-known text-mining system that is characterized by the usage of ontological categories of biological concepts (,), as well as by processing full papers. A variant of Textpresso (Pharmspresso) has been used for automatic annotation of pharmacogenomic literature for PharmGKB, but was never integrated with the manual curation process (). […]


Discovering drug–drug interactions: a text mining and reasoning approach based on properties of drug metabolism

PMCID: 2935409
PMID: 20823320
DOI: 10.1093/bioinformatics/btq382

[…] oning techniques to find DDIs from Medline abstracts. We demonstrated that our extraction approach has the distinct capability of performing generic extraction. Unlike EDGAR (Rindflesch et al., ) and Pharmspresso (Garten and Altman, ) that are capable of extracting a variety of drug-gene relationships, our approach utilizes a variety of extracted drug-gene and protein–protein interactions to infer […]


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Pharmspresso institution(s)
Biomedical Informatics Training Program, Stanford University, Stanford, CA, USA; Departments of Bioengineering and Genetics, Stanford University, Stanford, CA, USA
Pharmspresso funding source(s)
Supported by training grant NIH LM007033 from the National Library Medicine, NIH/NIGMS Pharmacogenetics Research Network and Database and the PharmGKB resource (NIH GM61374).

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