Jumoke Soyemi
The Federal Polytechnic, Nigeria
Title: Comparison of computational models in prediction of adverse drug reactions
Biography
Biography: Jumoke Soyemi
Abstract
Computational pharmacology is the application of bioinformatics and computational biology with relevance to pharmacology including understanding of drug action, adverse drug reaction, identification of drug targets and drug design. Early and accurate identifi cation of Adverse Drug Reactions (ADR) is critically important for drug development and clinical safety. Oft en times the adverse eff ect of drugs are not discovered until years later aft er the drugs’ release to the market. Th e post hoc analysis is usually unable to detect rare or delayed on-set ADR until clinical evidence accumulates. Th e process of drug development and ADRs discovery takes years, meaning that a lot of harm would have been caused to lives before evidences are accumulated, therefore developing a computational pharmacology model that can be used to make informed decisions to decrease attrition rate in the process of drug development with improve number of drugs having an acceptable benefi t and risk ratio is paramount. Th is paper reviews and compares computational methods of the few works that has been done so far to address this issue and hence looks at the applicable methods that can be used in drug to ADR prediction.