Results 111 to 120 of about 333,304 (136)
Some of the next articles are maybe not open access.
MFF-DTA: Multi-scale feature fusion for drug-target affinity prediction
MethodsAccurately predicting drug-target affinity is crucial in expediting the discovery and development of new drugs, which is a complex and risky process. Identifying these interactions not only aids in screening potential compounds but also guides further optimization.
Xiwei Tang +3 more
openaire +2 more sources
Prediction of drug-target binding affinity based on deep learning models
Computers in Biology and MedicineThe prediction of drug-target binding affinity (DTA) plays an important role in drug discovery. Computerized virtual screening techniques have been used for DTA prediction, greatly reducing the time and economic costs of drug discovery. However, these techniques have not succeeded in reversing the low success rate of new drug development.
Hao, Zhang +4 more
openaire +2 more sources
Contrastive Meta-Learning for Drug-Target Binding Affinity Prediction
2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2022Mei Li +4 more
openaire +1 more source
Antibody–drug conjugates: Smart chemotherapy delivery across tumor histologies
Ca-A Cancer Journal for Clinicians, 2022Paolo Tarantino +2 more
exaly
Co-VAE: Drug-Target Binding Affinity Prediction by Co-Regularized Variational Autoencoders
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022Xing-Ming Zhao, Limin Li
exaly
The drug–target residence time model: a 10-year retrospective
Nature Reviews Drug Discovery, 2015Robert A Copeland
exaly
Angiogenesis Inhibitors: Current Strategies and Future Prospects
Ca-A Cancer Journal for Clinicians, 2010Kristina M Cook, William D Figg
exaly
A survey of drug-target interaction and affinity prediction methods via graph neural networks
Computers in Biology and Medicine, 2023exaly