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The Use of MoStBioDat for Rapid Screening of Molecular Diversity
- Source :
- Molecules, Vol 14, Iss 9, Pp 3436-3445 (2009), Molecules, Volume 14, Issue 9, Pages 3436-3445
- Publication Year :
- 2009
- Publisher :
- MDPI AG, 2009.
-
Abstract
- MoStBioDat is a uniform data storage and extraction system with an extensive array of tools for structural similarity measures and pattern matching which is essential to facilitate the drug discovery process. Structure-based database screening has recently become a common and efficient technique in early stages of the drug development, shifting the emphasis from rational drug design into the probability domain of more or less random discovery. The virtual ligand screening (VLS), an approach based on high-throughput flexible docking, samples a virtually infinite molecular diversity of chemical libraries increasing the concentration of molecules with high binding affinity. The rapid process of subsequent examination of a large number of molecules in order to optimize the molecular diversity is an attractive alternative to the traditional methods of lead discovery. This paper presents the application of the MoStBioDat package not only as a data management platform but mainly in substructure searching. In particular, examples of the applications of MoStBioDat are discussed and analyzed.
- Subjects :
- Relational database
Data management
Drug Evaluation, Preclinical
Pharmaceutical Science
Drug design
Information Storage and Retrieval
Nanotechnology
Biology
computer.software_genre
Ligands
ligand
Article
Analytical Chemistry
macromolecule
Small Molecule Libraries
lcsh:QD241-441
lcsh:Organic chemistry
Drug Discovery
Pattern matching
Physical and Theoretical Chemistry
Virtual screening
Drug discovery
business.industry
Organic Chemistry
virtual screening
Molecular Weight
Drug development
Chemistry (miscellaneous)
Docking (molecular)
relational database
MoStBioDat
Molecular Medicine
Data mining
business
computer
Software
combinatorial chemistry
Subjects
Details
- Language :
- English
- ISSN :
- 14203049
- Volume :
- 14
- Issue :
- 9
- Database :
- OpenAIRE
- Journal :
- Molecules
- Accession number :
- edsair.doi.dedup.....938263a2c0c450b7116f08bdf221a0da