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The Impact of Protein Structure and Sequence Similarity on the Accuracy of Machine-Learning Scoring Functions for Binding Affinity Prediction

It has recently been claimed that the outstanding performance of machine-learning scoring functions (SFs) is exclusively due to the presence of training complexes with highly similar proteins to those in the test set. Here, we revisit this question using 24 similarity-based training sets, a widely u...

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Dettagli Bibliografici
Pubblicato in:Biomolecules
Autori principali: Li, Hongjian, Peng, Jiangjun, Leung, Yee, Leung, Kwong-Sak, Wong, Man-Hon, Lu, Gang, Ballester, Pedro J.
Natura: Artigo
Lingua:Inglês
Pubblicazione: MDPI 2018
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Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC5871981/
https://ncbi.nlm.nih.gov/pubmed/29538331
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/biom8010012
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