Pharmaceutical Bioinformatics is a research field related to bioinformatics but with the focus on studying biological and chemical processes in the pharmaceutical area; to understand how xenobiotics interact with the human body and the drug discovery process.
Whereas traditional bioinformatics is a wide subject it has a large focus on molecular biology, pharmaceutical bioinformatics more specifically targets chemical-biological interaction and exploratory focus of chemical and biological interactors using e.g. cheminformatics and chemometrics methods. Methods include, apart from many general bioinformatics methods, ligand-based modeling such as Quantitative structure–activity relationship (QSAR) and proteochemometrics, computer-aided molecular design, chembioinformatics databases, algorithms for chemical software, and biopharmaceutical chemistry including analyses of biological activity and other issues related to drug discovery.
In silico metabolism prediction
One of the major fields within pharmaceutical bioinformatics is the in silico metabolism prediction of drug candidates. This field is in turn divided into three tasks;
- Predicting the occurrence of an interaction between a compound and an enzyme,
- Predicting the location in the compound that takes part in the interaction, i.e. the site of metabolism (SOM),
- Predicting the outcome from the interaction, i.e. the resulting metabolite product.
Software and tools
One conference specific to Pharmaceutical Bioinformatics is "International Conference on Pharmaceutical Bioinformatics" (ICPB) (http://www.icpb.net)
- Rydberg, Patrik; Gloriam, David E.; Zaretzki, Jed; Breneman, Curt; Olsen, Lars (2010-06-10). "SMARTCyp: A 2D Method for Prediction of Cytochrome P450-Mediated Drug Metabolism". ACS Medicinal Chemistry Letters. 1 (3): 96–100. doi:10.1021/ml100016x. PMC 4055970. PMID 24936230.
- Carlsson, Lars; Spjuth, Ola; Adams, Samuel; Glen, Robert C.; Boyer, Scott (2010-07-01). "Use of historic metabolic biotransformation data as a means of anticipating metabolic sites using MetaPrint2D and Bioclipse". BMC Bioinformatics. 11: 362. doi:10.1186/1471-2105-11-362. ISSN 1471-2105. PMC 2912884. PMID 20594327.