Am. J. Biomed. Sci. 2016, 8(3), 200-207; doi: 10.5099/aj160300200 © 2016 by NWPII. All rights reserved 200 American Journal of Biomedical Sciences ISSN: 1937-9080 nwpii.com/ajbms Contribution of Clinical Biochemistry to Structural Bioinformatics Heba M. Afify Department of Bioelectronics Engineering, MTI University, Egypt. Corresponding Author Heba M. Afify Department of Bioelectronics Engineering MTI University Egypt Email: hebaaffify@yahoo.com Received: 02 May 2016; | Revised: 11 July 2016; | Accepted: 19 July 2016 Abstract Bioinformatics plays an important role in the study of human diseases with genomic data for drug development and gene therapy. Its applicative arm is clinical biochemistry that focuses on the methodology and interpretation of chemical tests performed to support diagnosis and treatment. Clinical biochemistry is one of the most important parts of laboratory diagnostics tests together with laboratory hematology, immunology, clinical serology and microbiology, clinical toxicology. It possesses the largest number of diagnostic tests that help to understand pathogenesis and etiology of different pathological processes. Clinical biochemistry is based on bioinformatics applications that have been used for tumor marker measurements, stem cell tests, gene expression, and DNA damage repair. Bioinformatics field can be derived from biochemistry. It means that biochemistry has emerged from bioinformatics applications. It is not an overstatement to say that bioinformatics is what biochemistry is evolving to become a distinct guide for quality control. This paper focuses on the point of contemporary clinical biochemistry that tends to support bioinformatics researchers. Integration between biochemistry and bioinformatics would lead to an increase in healthcare performance is thus of increasing importance in future research. Keywords: Clinical Biochemistry, Bioinformatics, Laboratory Tests, Genomic Data. 1. Introduction Since the middle of the 20 th century, bioinformatics was suggested to be applied for clinical toxicology [1] and cancer [2]. One of the early studies on expressed sequence tags in human stem cells by bioinformatics was performed in 1998 [3], where near 10000 sequences were analyzed. At the beginning of the 21 st century, gene expression profiles in 60 human cancer cell lines used in a drug discovery screen were evaluated by cDNA microarrays and corrected with drug activity patterns by combining bioinformatics and chemoinformatics [4]. Clinical bioinformatics was initially proposed to provide biological and medical information for individualized healthcare, enable researchers to search online biological databases and used