A deep learning method for drug-target affinity prediction based on sequence interaction information mining
Background A critical aspect of in silico drug discovery involves the prediction of drug-target affinity (DTA). Conducting wet lab experiments to determine affinity is both expensive and time-consuming, making it necessary to find alternative approaches. In recent years, deep learning has emerged as...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
PeerJ Inc.
2023-12-01
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| Series: | PeerJ |
| Subjects: | |
| Online Access: | https://peerj.com/articles/16625.pdf |