AI in Drug Discovery

This open Access book constitutes the refereed proceedings of the First International Workshop on AI in Drug Discovery, AIDD 2024, held as a part of the 33rd International Conference on Artificial Neural Networks, ICANN 2024, in Lugano, Switzerland, on September 19, 2024. The 12 papers presented her...

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Detalhes bibliográficos
Formato:	Online
Idioma:	inglês
Publicado em:	Springer Nature 2024
Assuntos:	Synthesis planning chemo-informatics big data deep learning drug discovery convolution neural networks toxicity GNNs transformers explainable AI active learning feature decomposition de novo molecular design quantum-mechanical properties solvent effects molecular property prediction convergent routes equivariant graph neural networks structure-based drug discovery constraints thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence thema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data mining thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQE Expert systems / knowledge-based systems thema EDItEUR::P Mathematics and Science::PN Chemistry::PNR Physical chemistry::PNRA Computational chemistry
Acesso em linha:	ONIX_20241021_9783031723810_28
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AI in Drug Discovery

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