Abstract Detail
Bioinformatics - Afternoon Raimondo, Enrico [1], Chiusano, Maria Luisa [1]. Ab initio prediction of protein binding sites: an application on tomato inhibitor-II*. ONE of the most interesting challenges in the analysis of protein structure data is to extract general information and/or specific peculiarities that could support knowledge increase and biotechnological applications. We present here a new algorithm implemented to predict the binding sites of proteins when the experimentally determined coordinates of the three dimensional structures are available (Protein Data Bank). The proposed methodology is based on the presence of protein structural features that strongly influence the directionalities of the interaction. We present the results of the application of the methodology to the analyses of the Tomato Inhibitor-II, a member of the multidomain proteinase inhibitors which play critical roles in the defence of plants against predation by a wide range of pests. The method is able to predict each of the binding sites of the protein and can be considered a reliable approach to support docking analyses and related applications when no experimental data on protein-ligand interactions are known. * This work is supported by the Agronanotech Project (MIPAF, ITALY) Log in to add this item to your schedule
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1 - University Federico II of Naples, Structural and Functional Biology, , Italy
Keywords: tomato inhibitor-II prediction of protein binding sites protein interactions proteinase inhibitors.
Session: Poster-65 Location: Ballroom CD/Monona Terrace Date: Tuesday, July 25th, 2006 Time: 8:00 AM Abstract ID:221 |