Cera Wong
April 3, 2013
Structural genomics (SG) programs were formed by development of structure biology in large scale. Targets were selected from a specific genome, topologically similar types of proteins or protein families. (REF: Maksymilian) SG programs have developed more accurate and efficient methodologies on structure determination over the last decade (REF: Maksymilian), where many are used for the determination of protein structures. The programs aim to describe 3-dimensional structure of every protein encoded by a given genome, as opposed to traditional structural prediction in focussing on only one particular protein. Structural genomics allows for a high-throughput method of structure determination by a combination of experimental and modelling approaches. (REF: National)
Genomics can be divided into three branches: structural, comparative and functional genomics. There have been new discover models used for candidate genes that rely on functional and comparative genomics, where these models were advance through entrepreneurial companies such as Paradigm Genetics, Ceres, Crop Design and Mendel Biotechnology. (REF: Gutterson). This essay will focus on structural genomics, highlighting its strengths and challenges as well as its application on the following: protein structure determination, homology modelling, drug discovery, and briefly on the agricultural biotechnology industry. Future prospects for structural genomics will also be discussed.
The understanding of many biological processes at molecular levels leads to the generation of enormous amounts of experimental data. The fact that the number of known protein sequences is growing rapidly results in a gap between genomic and structural information that eventually the tradition methods of structural biology would not be able to provide structure determination and understanding of
References: [1] Youngchang Kim and Quarteyj. 4