Introduction to Drug Design and Systems Biology Laboratory

The World of Drug Discovery, SiMMap, 3d-BLAST, Structural Bioinformatics And Systems Biology Interface Family

Let dreams COME TURE.

  • Projects- a list of Faculty-led research projects in Human genetics

Projects

  • GEMDOCK and SiMMap: Drug Discovery

    The total number of citations for "drug discovery" papers, GEMDOCK and its applications, was over 150. Based on the ability and flexibility of GEMDOCK, we have successfully cooperated over seven Labs, such as NHRI, Prof Hsu TA (Inhibitors of avian influenza virus neuraminidases); Prof. Wang WC (Inhibitors of helicobacter pylori shikimate kinase), Prof MAO JT (secondary vitamin D3 binding site of milk beta-lactoglobulin);.....

  • Protein Protein Interaction

    We derive a new concept, called the 3D-domain interologs which is similar to interologs. The 3D-domain interologs is defined as Domain a (in chain A) interacts with domain b (in chain B) in a known 3D complex, their inferring protein pair A' (containing domain a ) and B' (containing domain b ) in the same species would be likely to interact with each other if both protein pairs (A' and A as well as proteins B and B') are homologous.......

  • 3D-BLAST and fastSCOP: Structural Genomics

    Our paper, Kappa-alpha plot derived structural alphabet and BLOSUM-like substitution matrix for fast protein structure database search, was published in Genome Biology. In this paper, we present a novel protein structure database search tool, 3D-BLAST, that is useful for analyzing novel structures and can return a ranked list of alignments. This tool has the features of BLAST (for example, robust statistical basis, search effective and reliable search capabilities) by using a kappa-alpha (k, a) plot derived structural alphabet and a new substitution matrix.......

  • FCEA: Bio-inspiration Computation Methods

    Total cited number of our papers, bio-inspiration computation methods (called FCEA) and their applications, was over 250. FCEA combines adaptive mutations and family competition to solve optimization problems in widely differing fields (e.g. function optimization, constrained optimization, and thin-film design, neural networks) and Bioinformatics applications (e.g. protein-ligand interactions, protein-protein interaction sites, protein folding, Microarray analysis, and QSAR model).