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



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Titolo: Biomolecular Data Science-in Honor of Professor Philip E. Bourne Visualizza cluster
Pubblicazione: MDPI - Multidisciplinary Digital Publishing Institute, 2023
Descrizione fisica: 1 online resource (232 p.)
Soggetto topico: Biology, life sciences
Research & information: general
Soggetto non controllato: amino acids
and graph neural network
APOBEC
basal cells
binding energy
bioinformatics
biological macromolecules
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
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
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
Sommario/riassunto: 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.
Titolo autorizzato: Biomolecular Data Science-in Honor of Professor Philip E. Bourne  Visualizza cluster
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9911053031203321
Lo trovi qui: Univ. Federico II
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