ROLE OF BIOINFORMATICS, CHEMOINFORMATICS AND PROTEOMIC IN BIOMARKER IDENTIFICATION AND DRUG TARGET VALIDATION IN DRUG DISCOVERY PROCESSES

摘要

Novel biomarker identification and drug target validation are highly complex and resource-intensive processes, requiring an integral use of various tools, approaches and information. The recently developed proteomic technology features high-throughput parallel analysis of thousands of proteins in individual patients and amount populations and thus opens up the possibility of providing more details at a global level on the molecular mechanisms. With regularly updated public databases, bioinformatics can contribute to these processes by providing functional information of target candidates and correlating this information to the biological pathways. In this review, we outline recent advances of bioinformatic application in proteomic research on biomarker discovery and drug target validation. Specifically, we highlight how bioinformatics can facilitate the proteomic studies of biomarker identification and drug target validation, rating valuable data for the development of new drug candidates. Chemoinformatics has evolved over the last 30 years into a scientific discipline that now is in full bloom. It covers many areas such as chemical structure representation, chemical reaction manipulation, data processing and data analysis, property prediction, chemometrics, data mining, structure elucidation, and synthesis design. Chemoinformatics methods have successfully been applied in all fields of chemistry. The future will bring a rapid expansion of the use of Chemoinformatics to further our understanding of chemistry and to process the flood of chemical information