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Strategies for Compound Selection
- Source :
- Current Drug Discovery Technologies. 1:211-220
- Publication Year :
- 2004
- Publisher :
- Bentham Science Publishers Ltd., 2004.
-
Abstract
- In-house pharmaceutical collections are no longer sufficient for sampling chemical spaces. As novel bioactive chemotypes are successfully identified by virtual and high -throughput screening, the ability to rapidly sift through large numbers of chemicals prior to acquisition or experiment is required. Strategies for compound selection include some of the following steps: 1.) database assembly ('in silico' inventory); 2a.) structural integrity verification (keep unique structures only); 2b.) limited exploration of alternative chemical representations for the uniques (stereoisomers, tautomers, ionization states); 3.) property and structural filtering (remove unwanted structures); 4.) 3D-structure generation (for virtual screening or 3D-based similarity); 5a.) clustering or statistical design for selection; 5b.) similarity-based selection (if bioactives are known); 5c.) receptor-based selection (if target binding site is known); 6.) add a random subset to the final list.
- Subjects :
- Models, Molecular
Virtual screening
Databases, Factual
Property (programming)
Computer science
Receptors, Drug
In silico
Drug Evaluation, Preclinical
Molecular Conformation
Sampling (statistics)
computer.software_genre
Structure-Activity Relationship
Pharmaceutical Preparations
Similarity (network science)
Drug Discovery
Cluster Analysis
Computer Simulation
Data mining
Cluster analysis
Throughput (business)
computer
Medical Informatics
Selection (genetic algorithm)
Subjects
Details
- ISSN :
- 15701638
- Volume :
- 1
- Database :
- OpenAIRE
- Journal :
- Current Drug Discovery Technologies
- Accession number :
- edsair.doi.dedup.....19957c2baf83808785733c4ce4978e1d
- Full Text :
- https://doi.org/10.2174/1570163043334965