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

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

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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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Keywords

  • 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 & 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 & interdisciplinary subjects
  • Research & 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

Links

DOI: 10.3390/books978-3-0365-8610-6

Editions

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