A machine learning and network framework to discover new indications for small molecules

Drug repurposing, identifying novel indications for drugs, bypasses common drug development pitfalls to ultimately deliver therapies to patients faster. However, most repurposing discoveries have been led by anecdotal observations (e.g. Viagra) or experimental-based repurposing screens, which are co...

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Veröffentlicht in:	PLoS computational biology 2020-08, Vol.16 (8), p.e1008098-e1008098
Hauptverfasser:	Gilvary, Coryandar, Elkhader, Jamal, Madhukar, Neel, Henchcliffe, Claire, Goncalves, Marcus D, Elemento, Olivier
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Amitriptyline Angina pectoris Antiparkinson Agents Biological products Biology Biology and Life Sciences Biophysics Cancer Computational Biology - methods Computer applications Diabetes mellitus Diabetes mellitus (non-insulin dependent) Disease Drug delivery systems Drug development Drug discovery Drug Repositioning - methods Drugs Enzyme inhibitors Health services Hypoglycemic Agents Hypotheses Identification and classification Information processing Investigations Kinases Learning algorithms Machine Learning Medicine and Health Sciences Models, Statistical Molecules Movement disorders Neurodegenerative diseases Parkinson's disease Pharmaceutical research Physiology Precision medicine Prostate Respiratory diseases Semantics Sildenafil Similarity Software Standardization Training
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