Biomolecular Data Science—in Honor of Professor Philip E. Bourne

This reprint includes 14 articles in Biomedical Data Science in honor of Professor Philip Bourne. Contributed by world-renowned experts, these articles cover a broad range of topics in machine learning, biophysics, bioinformatics, and systems biology.

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Detalles Bibliográficos
Formato:	Online
Idioma:	inglés
Publicado:	MDPI - Multidisciplinary Digital Publishing Institute 2023
Subjects:	structure-based drug discovery ligand binding sites deep learning graph neural network CRISPR/Cas9 genome editing machine learning SHAP values binding energy off-targets drug discovery retrosynthesis reaction template recurrent neural network and graph neural network mutational signatures smoking lung cancers APOBEC immune response to smoking cell-type composition goblet cells ciliated cells basal cells Protein Data Bank Open Access Worldwide Protein Data Bank macromolecular crystallography cryogenic electron microscopy cryogenic electron tomography electron crystallography micro-electron diffraction nuclear magnetic resonance spectroscopy biological macromolecules proteins nucleic acids DNA RNA carbohydrates small-molecule ligands social determinants of health electronic health records real-world evidence census tract data science protein database search tool prioritization algorithm drug repositioning quantum machine learning quantum metric learning kernel method kernel classifiers structural bioinformatics function annotation specificity annotation MSA entropy variability amino acids Philip Bourne FAIR bioinformatics n/a protein kinases functional families KinFams KinBase classification large language models pharmacovigilance social media drugs of abuse DNA sequencing read classification metagenomics thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science::PS Biology, life sciences
Acceso en liña:	ONIX_20230911_9783036586113_85
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Descripción
Summary:	This reprint includes 14 articles in Biomedical Data Science in honor of Professor Philip Bourne. Contributed by world-renowned experts, these articles cover a broad range of topics in machine learning, biophysics, bioinformatics, and systems biology.

Biomolecular Data Science—in Honor of Professor Philip E. Bourne

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