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Descriptor English: Drug Development
Descriptor Spanish: Desarrollo de Medicamentos
Descriptor Portuguese: Desenvolvimento de Medicamentos
Descriptor French: Développement de médicament
Entry term(s): Computational Prediction of Drug-Target Interactions
Development, Drug
Development, Medication
Development, Pharmaceutical
Drug Target Prediction
Drug Target Predictions
Medication Development
Pharmaceutical Development
Prediction, Drug Target
Target Prediction, Drug
Tree number(s): E05.290
H01.158.703.007.338
H01.181.466.338
RDF Unique Identifier: https://id.nlm.nih.gov/mesh/D000076722
Scope note: The entire process of bringing a new drug to the market. It includes both preclinical and clinical testing, and regulatory approval.
Annotation: do not confuse with DRUG DISCOVERY which is the process of finding chemicals for potential therapeutic use
Allowable Qualifiers: CL classification
EC economics
ED education
ES ethics
HI history
IS instrumentation
LJ legislation & jurisprudence
MT methods
OG organization & administration
SN statistics & numerical data
ST standards
TD trends
Public MeSH Note: 2019
History Note: 2019
DeCS ID: 57481
Unique ID: D000076722
Documents indexed in the Virtual Health Library (VHL): Click here to access the VHL documents
Date Established: 2019/01/01
Date of Entry: 2018/07/09
Revision Date: 2019/06/17
Drug Development - Preferred
Concept UI M000636535
Scope note The entire process of bringing a new drug to the market. It includes both preclinical and clinical testing, and regulatory approval.
Preferred term Drug Development
Entry term(s) Development, Drug
Development, Medication
Development, Pharmaceutical
Medication Development
Pharmaceutical Development
Drug Target Prediction - Related but not broader or narrower
Concept UI M000649592
Preferred term Drug Target Prediction
Entry term(s) Drug Target Predictions
Prediction, Drug Target
Target Prediction, Drug
Computational Prediction of Drug-Target Interactions - Related but not broader or narrower
Concept UI M000649594
Preferred term Computational Prediction of Drug-Target Interactions



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