Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Astrid Stroobants"'
Publikováno v:
Artificial Intelligence in the Life Sciences, Vol 4, Iss , Pp 100079- (2023)
Deep learning proteochemometric (PCM) models have been reported to achieve excellent performances on public benchmarking datasets. Nevertheless, numerous papers have cast doubt on commonly used evaluation metrics, suggesting they do not reflect true
Externí odkaz:
https://doaj.org/article/45e35c6f8d5a4205986ccbadb74fd45e
Recent advances in deep learning have enabled the development of large-scale multimodal models for virtual screening and de novo molecular design. The human kinome with its abundant sequence and inhibitor data presents an attractive opportunity to de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b8b1a7dcbcaf720130928edb29c80c94
https://doi.org/10.26434/chemrxiv-2021-np7xj-v3
https://doi.org/10.26434/chemrxiv-2021-np7xj-v3
Recent advances in deep learning have enabled the development of large-scale multimodal models for virtual screening and de novo molecular design. The human kinome with its abundant sequence and inhibitor data presents an attractive opportunity to de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d0e41588b808b7bbb38f37d346347ef
https://doi.org/10.33774/chemrxiv-2021-np7xj-v2
https://doi.org/10.33774/chemrxiv-2021-np7xj-v2