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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Bibliographic Details
Format	eBook
Language	English
Published	MDPI - Multidisciplinary Digital Publishing Institute 2023
Subjects	amino acids and graph neural network APOBEC basal cells binding energy bioinformatics biological macromolecules Biology, life sciences carbohydrates cell-type composition census tract ciliated cells CRISPR/Cas9 cryogenic electron microscopy cryogenic electron tomography data science deep learning DNA DNA sequencing drug discovery drug repositioning drugs of abuse electron crystallography electronic health records entropy FAIR function annotation functional families genome editing goblet cells graph neural network immune response to smoking kernel classifiers kernel method KinBase classification KinFams large language models ligand binding sites lung cancers machine learning macromolecular crystallography Mathematics and Science metagenomics micro-electron diffraction MSA mutational signatures n/a nuclear magnetic resonance spectroscopy nucleic acids off-targets Open Access pharmacovigilance Philip Bourne prioritization algorithm Protein Data Bank protein database protein kinases proteins quantum machine learning quantum metric learning reaction template read classification real-world evidence recurrent neural network Reference, Information and Interdisciplinary subjects Research and information: general retrosynthesis RNA search tool SHAP values small-molecule ligands smoking social determinants of health social media specificity annotation structural bioinformatics structure-based drug discovery variability Worldwide Protein Data Bank
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ISBN	3036586105 3036586113 9783036586113 9783036586106
DOI	10.3390/books978-3-0365-8610-6

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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.
ISBN:	3036586105 3036586113 9783036586113 9783036586106
DOI:	10.3390/books978-3-0365-8610-6