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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Detalles Bibliográficos
Autores principales: Li, Hongjian, Peng, Jiangjun, Leung, Yee, Leung, Kwong-Sak, Wong, Man-Hon, Lu, Gang, Ballester, Pedro J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5871981/
https://www.ncbi.nlm.nih.gov/pubmed/29538331
http://dx.doi.org/10.3390/biom8010012

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5871981/
https://www.ncbi.nlm.nih.gov/pubmed/29538331
http://dx.doi.org/10.3390/biom8010012

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