TeM-DTBA: time-efficient drug target binding affinity prediction using multiple modalities with Lasso feature selection
Author:
Publisher
Springer Science and Business Media LLC
Subject
Physical and Theoretical Chemistry,Computer Science Applications,Drug Discovery
Link
https://link.springer.com/content/pdf/10.1007/s10822-023-00533-1.pdf
Reference63 articles.
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3. Xuan P et al (2019) Gradient boosting decision tree-based method for predicting interactions between target genes and drugs. Front Genet 10:459. https://doi.org/10.3389/fgene.2019.00459
4. Paul SM et al (2010) How to improve r & d productivity: the pharmaceutical industry’s grand challenge. Nat Rev Drug Discovery 9(3):203–214. https://doi.org/10.1038/nrd3078
5. Wang L et al (2021) Nmfcda: Combining randomization-based neural network with non-negative matrix factorization for predicting circrna-disease association. Appl Soft Comput 110:107629. https://doi.org/10.1016/j.asoc.2021.107629
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