Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Shourun Pan"'
Publikováno v:
BMC Genomics, Vol 24, Iss 1, Pp 1-11 (2023)
Abstract Background Drug-target binding affinity (DTA) prediction is important for the rapid development of drug discovery. Compared to traditional methods, deep learning methods provide a new way for DTA prediction to achieve good performance withou
Externí odkaz:
https://doaj.org/article/26c1ebd462d94143a3947decb84b4afe
Publikováno v:
BMC Bioinformatics, Vol 24, Iss 1, Pp 1-18 (2023)
Abstract Background Drug–target affinity (DTA) prediction is a critical step in the field of drug discovery. In recent years, deep learning-based methods have emerged for DTA prediction. In order to solve the problem of fusion of substructure infor
Externí odkaz:
https://doaj.org/article/5b3ba51782264c8fb7daf73b3bc1f375
Publikováno v:
Biomolecules, Vol 13, Iss 3, p 503 (2023)
Molecular property prediction is an important direction in computer-aided drug design. In this paper, to fully explore the information from SMILE stings and graph data of molecules, we combined the SALSTM and GAT methods in order to mine the feature
Externí odkaz:
https://doaj.org/article/5b0035ca82be48d1962c9b387c1b58b9
Publikováno v:
Proceedings of the 5th International Conference on Big Data Technologies.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b17e70b74fd7b45aef467ced7baf5ba
https://doi.org/10.1145/3565291.3565301
https://doi.org/10.1145/3565291.3565301