Journal article
Progress toward virtual screening for drug side effects
Proteins, structure, function, and bioinformatics, Vol.48(4), pp.664-671
09/01/2002
DOI: 10.1002/prot.10186
PMID: 12211034
Abstract
The development and application of a computational protocol for conducting virtual screens of drug side interactions is described. A conventional drug-docking algorithm (AutoDock) is used to conduct two separate studies. First, a series of docking simulations is performed by using guanosine diphosphate and adenosine diphosphate as prototype drugs with the goal of successfully differentiating known receptors from a large number of bait receptors. Using the electrostatic energy of the purine ring as a basis for discrimination allows the correct identification of receptors in blind studies with 100% specificity and 94% sensitivity. In a second study, similar methodology is used to investigate the binding of clinically relevant inhibitors (Gleevec, purvalanol A, and hymenialdisine) to a variety of protein kinase targets. Overall, excellent agreement between experimental and predicted preferences for kinase targets is obtained. An important conclusion from the latter study is that homology-modeled structures of putative receptors may reasonably be used as targets for docking when directly solved crystal structures are not available. The prospects for routine application of the methodology as a means of identifying potential side interactions of candidate drugs are discussed.
Details
- Title: Subtitle
- Progress toward virtual screening for drug side effects
- Creators
- William M Rockey - Department of Biochemistry, University of Iowa, Iowa City, Iowa, USAAdrian H Elcock
- Resource Type
- Journal article
- Publication Details
- Proteins, structure, function, and bioinformatics, Vol.48(4), pp.664-671
- DOI
- 10.1002/prot.10186
- PMID
- 12211034
- NLM abbreviation
- Proteins
- ISSN
- 0887-3585
- eISSN
- 1097-0134
- Publisher
- United States
- Grant note
- T32 GM007337 / NIGMS NIH HHS
- Language
- English
- Date published
- 09/01/2002
- Academic Unit
- Physics and Astronomy; Radiation Oncology; Biochemistry and Molecular Biology
- Record Identifier
- 9984025292902771
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