Results 221 to 230 of about 159,394 (268)

Advances in Therapeutic Antibody Discovery and Development Targeting G Protein-Coupled Receptors. [PDF]

Pharmacol Res Perspect
Hutchings CJ, Ünsal S, Rappas M, Barnes M, Waldhoer M, Holland B, Culka M.   +6 more
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Nature's cryptographic codebreaker<i>: in silico</i> decoding of apigenin's triple defense against SARS-CoV-2. [PDF]

Front Microbiol
Huang J, Fang Y, Guan H, Hu S.
europepmc   +1 more source

GraphDTA for predicting drug–target binding affinity

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AgentMol: Multi-Model AI System for Automatic Drug-Target Identification and Molecule Development. [PDF]

Methods Protoc
Karabowicz P, Charkiewicz R, Charkiewicz A, Sulewska A, Nikliński J.   +4 more
europepmc   +1 more source

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Modality-DTA: Multimodality Fusion Strategy for Drug–Target Affinity Prediction

IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2023
Prediction of the drug-target affinity (DTA) plays an important role in drug discovery. Existing deep learning methods for DTA prediction typically leverage a single modality, namely simplified molecular input line entry specification (SMILES) or amino acid sequence to learn representations.
Xixi Yang, Zhangming Niu, Yuansheng Liu, Bosheng Song, Weiqiang Lu, Li Zeng, Xiangxiang Zeng   +6 more
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Multimodal contrastive representation learning for drug-target binding affinity prediction

Methods, 2023
In the biomedical field, the efficacy of most drugs is demonstrated by their interactions with targets, meanwhile, accurate prediction of the strength of drug-target binding is extremely important for drug development efforts. Traditional bioassay-based drug-target binding affinity (DTA) prediction methods cannot meet the needs of drug R&D in the era ...
Linlin, Zhang, Chunping, Ouyang, Yongbin, Liu, Yiming, Liao, Zheng, Gao   +4 more
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A Mutual Attention Model for Drug Target Binding Affinity Prediction

IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2022
Vrious machine learning approaches have been developed for drug-target interaction (DTI) prediction. One class of these approaches, DTBA, is interested in Drug-Target Binding Affinity strength, rather than focusing merely on the presence or absence of interaction. Several machine learning methods have been developed for this purpose.
openaire   +2 more sources