Regularly updated benchmark sets for statistically correct evaluations of AlphaFold applications.
other · Level V
Where this comes from
- Record sourced from PubMed, PMID 40067116.
- Also identified by DOI 10.1093/bib/bbaf104 and PMC identifier 11894802.
- Licence recorded as CC BY-NC.
- Because redistribution is not established, this page shows the abstract only. Follow the links below for the full text.
Abstract
AlphaFold2 changed structural biology by providing high-quality structure predictions for all possible proteins. Since its inception, a plethora of applications were built on AlphaFold2, expediting discoveries in virtually all areas related to protein science. In many cases, however, optimism seems to have made scientists forget about data leakage, a serious issue that needs to be addressed when evaluating machine learning methods. Here we provide a rigorous benchmark set that can be used in a broad range of applications built around AlphaFold2/3.
Medical subject headings
- Proteins
- Protein Folding
- Computational Biology