BindingDB in 2024: a FAIR knowledgebase of protein-small molecule binding data
Author Information
Author(s): Liu Tiqing, Hwang Linda, Burley Stephen K, Nitsche Carmen I, Southan Christopher, Walters W Patrick, Gilson Michael K
Primary Institution: University of California San Diego
Conclusion
BindingDB has significantly expanded its dataset to include 2.9 million binding measurements from 1.3 million compounds and thousands of protein targets, primarily through curation of US patents.
Supporting Evidence
- The database now contains 2.9 million binding measurements spanning 1.3 million compounds and thousands of protein targets.
- Recent improvements include enhanced search and filtering capabilities and new data download options.
- BindingDB's unique focus on curating data from US patents has led to a substantial influx of novel binding data.
Takeaway
BindingDB is a big database that helps scientists find out how well small molecules stick to proteins, which is important for making new medicines.
Methodology
The database was updated by curating data from US patents and scientific articles, focusing on binding affinities of proteins and small molecules.
Limitations
The dataset primarily includes data from US patents, which may not cover all relevant binding data available in scientific literature.
Digital Object Identifier (DOI)
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