Evolutionary Trace shows conserved consensus pattern, Vertical lines in dendrogram A to J shows different Partition Identity Cutoffs (PICs)

<p><b>Copyright information:</b></p><p>Taken from "Binding site prediction of galanin peptide using evolutionary trace method"</p><p></p><p>Bioinformation 2006;1(5):180-183.</p><p>Published online 25 Jul 2006</p><p>PMCID:PMC1891676.</p><p></p> Each PIC represents an individual group; A represents the most conserved 10 trace. As PIC increases from A to J, partition comprises decreased group from 10 to

DrugMetZ DB: an anthology of human drug metabolizing Chytochrome P450 enzymes-1

<p><b>Copyright information:</b></p><p>Taken from "DrugMetZ DB: an anthology of human drug metabolizing Chytochrome P450 enzymes"</p><p></p><p>Bioinformation 2006;1(7):248-250.</p><p>Published online 14 Nov 2006</p><p>PMCID:PMC1891698.</p><p></p>y with it's PubMed link BLAST search result against Cytochrome P450 databas

DrugMetZ DB: an anthology of human drug metabolizing Chytochrome P450 enzymes-0

<p><b>Copyright information:</b></p><p>Taken from "DrugMetZ DB: an anthology of human drug metabolizing Chytochrome P450 enzymes"</p><p></p><p>Bioinformation 2006;1(7):248-250.</p><p>Published online 14 Nov 2006</p><p>PMCID:PMC1891698.</p><p></p

Receptor–Ligand Interaction-Based Virtual Screening for Novel Eg5/Kinesin Spindle Protein Inhibitors

Eg5/KSP is a promising mitotic spindle target for drug discovery in cancer chemotherapy and the development of agents against fungal diseases. A range of Eg5 targeting compounds identified by in vitro or cell-based screening is currently in development. We employed structure-based virtual screening of a database of 700 000 compounds to identify three novel Eg5 inhibitors bearing quinazoline (<b>24</b>) or thioxoimidazolidine (<b>30</b> and <b>37</b>) scaffolds. The new compounds inhibit Eg5 ATPase activity, show growth inhibition in proliferation assays, and induce monoastral spindles in cells, the characteristic phenotype for Eg5 inhibiting agents. This is the first successful reported procedure for the identification of Eg5 inhibitors via receptor–ligand interaction-based virtual screening