Bioinformatics Technologies by Yi-Ping Phoebe Chen

By Yi-Ping Phoebe Chen

Fixing sleek organic difficulties calls for complicated computational equipment. Bioinformatics developed from the lively interplay of 2 fast-developing disciplines, biology and knowledge expertise. The primary factor of this rising box is the transformation of usually disbursed and unstructured organic information into significant information.This e-book describes the appliance of well-established recommendations and strategies from parts like information mining, desktop studying, database applied sciences, and visualization innovations to difficulties like protein facts research, genome research and series databases. Chen has accumulated contributions from major researchers in every one zone. The chapters will be learn independently, as each one bargains an entire evaluation of its particular quarter, or, mixed, this monograph is a finished therapy that might entice scholars, researchers, and R&D pros in who want a cutting-edge advent into this difficult and interesting younger box.

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A method to predict functional residues in proteins. Nat Struct Biol 2(2): 171-8. , et al. (2001). Ligand-receptor docking with the Mining Minima optimizer. J Comput-Aided Mol Des 15: 157-71. , et al. (2003). MASS: multiple structural alignment by secondary structures. Bioinformatics 19 Suppl 1: I95-I104. Ewing, T. J. A. and I. D. Kuntz (1997). Critical evaluation of search algorithms for automated molecular docking and database screening. J Comp Chem 18: 1175-89. , et al. (2002). Prediction of protein--protein interaction sites in heterocomplexes with neural networks.

1992). Common spatial arrangements of backbone fragments in homologous and non-homologous proteins. J Mol Biol 225(1): 5-9. Aloyand, P. B. (2003). InterPreTS: protein interaction prediction through tertiary structure. Bioinformatics 19(1): 161-162. , et al. (2003). Predictions without templates: new folds, secondary structure, and contacts in CASP5. proteins 53: 436-456. , et al. (2004). The Pfam protein families database. Nucleic Acids Res 32 Database issue: D138-41. Berman, H. , et al. (2000).

5 Protein-Ligand Interactions An essential goal of structural bioinformatics is to facilitate the discovery of new chemical entities. These can range from drugs and biological probes to biomaterials. These chemicals function by binding to a target, often a protein, DNA, or RNA, through non-covalent interactions. We call these chemicals ligands. 2 Overview of Structural Bioinformatics 35 Until recently, most drugs inthe market came from the lead compounds that are discovered by screening of natural compounds; but now computational methods have begun to play a major role in drug discovery.

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