Regularly updated benchmark sets for statistically correct evaluations of AlphaFold applications DOI Creative Commons
László Dobson, Gábor Tusnády, Péter Tompa

et al.

Briefings in Bioinformatics, Journal Year: 2025, Volume and Issue: 26(2)

Published: March 1, 2025

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 areas related to protein science. In many cases, however, optimism seems have made scientists forget about data leakage, serious issue that needs be addressed when evaluating machine learning methods. Here we provide rigorous benchmark set can used broad range around AlphaFold2/3.

Language: Английский

Regularly updated benchmark sets for statistically correct evaluations of AlphaFold applications DOI Creative Commons
László Dobson, Gábor Tusnády, Péter Tompa

et al.

Briefings in Bioinformatics, Journal Year: 2025, Volume and Issue: 26(2)

Published: March 1, 2025

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 areas related to protein science. In many cases, however, optimism seems have made scientists forget about data leakage, serious issue that needs be addressed when evaluating machine learning methods. Here we provide rigorous benchmark set can used broad range around AlphaFold2/3.

Language: Английский

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