Evidence map›Paper›PMID 30087946›Full record

ReviewACS omega2018

Challenges of Connecting Chemistry to Pharmacology: Perspectives from Curating the IUPHAR/BPS Guide to PHARMACOLOGY.

Christopher Southan, Joanna L Sharman, Elena Faccenda, Adam J Pawson, Simon D Harding, Jamie A Davies

Abstract readReview
In one paragraph

Review in ACS omega, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Christopher SouthanIUPHAR/BPS Guide to PHARMACOLOGY, Centre for Discovery Brain Sciences, Deanery of Biomedical Sciences, University of Edinburgh EH8 9XD, Edinburgh, U.K.
Joanna L SharmanIUPHAR/BPS Guide to PHARMACOLOGY, Centre for Discovery Brain Sciences, Deanery of Biomedical Sciences, University of Edinburgh EH8 9XD, Edinburgh, U.K.
Elena FaccendaIUPHAR/BPS Guide to PHARMACOLOGY, Centre for Discovery Brain Sciences, Deanery of Biomedical Sciences, University of Edinburgh EH8 9XD, Edinburgh, U.K.
Adam J PawsonIUPHAR/BPS Guide to PHARMACOLOGY, Centre for Discovery Brain Sciences, Deanery of Biomedical Sciences, University of Edinburgh EH8 9XD, Edinburgh, U.K.
Simon D HardingIUPHAR/BPS Guide to PHARMACOLOGY, Centre for Discovery Brain Sciences, Deanery of Biomedical Sciences, University of Edinburgh EH8 9XD, Edinburgh, U.K.
Jamie A DaviesIUPHAR/BPS Guide to PHARMACOLOGY, Centre for Discovery Brain Sciences, Deanery of Biomedical Sciences, University of Edinburgh EH8 9XD, Edinburgh, U.K.

Funding

Wellcome Trust
6 · The paper itself

Abstract

Connecting chemistry to pharmacology has been an objective of Guide to PHARMACOLOGY (GtoPdb) and its precursor the International Union of Basic and Clinical Pharmacology Database (IUPHAR-DB) since 2003. This has been achieved by populating our database with expert-curated relationships between documents, assays, quantitative results, chemical structures, their locations within the documents, and the protein targets in the assays (D-A-R-C-P). A wide range of challenges associated with this are described in this perspective, using illustrative examples from GtoPdb entries. Our selection process begins with judgments of pharmacological relevance and scientific quality. Even though we have a stringent focus for our small-data extraction, we note that assessing the quality of papers has become more difficult over the last 15 years. We discuss ambiguity issues with the resolution of authors' descriptions of A-R-C-P entities to standardized identifiers. We also describe developments that have made this somewhat easier over the same period both in the publication ecosystem and recent enhancements of our internal processes. This perspective concludes with a look at challenges for the future, including the wider capture of mechanistic nuances and possible impacts of text mining on automated entity extraction.

Identifiers

PMID30087946
PMCPMC6070956

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.