CINF 56 |
| With continuing advances in epigenetics, proteomics, interactomics, metabolomics and RNA interference, bioinformatic data is increasingly becoming 3-D (structure-based) rather than just linear (sequence-based). A unified approach to cheminformatics and bioinformatics can thus enable a rich cross-fertilization of computational methods developed independently in different disciplines. We have developed a gamut of new software tools (Dixel, Protein-Recon, QPEST) and descriptor families (sequence similarity kernels, hydration-based descriptors) at Rensselaer that present bioinformatics data in a format familiar to cheminformaticians and cheminformatics data in bioinformatics-like format. Some modeling applications such as prediction of binding affinities of T cell receptors to leukemia vaccine polypeptides, ranking of transcription factor binding sequences and identification of pyruvate kinase activators and inhibitors will be presented. |
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Cheminformatics Techniques in Bioinformatics: Related Applications
9:00 AM-11:50 AM, Wednesday, August 22, 2007 BCEC -- 252 A, Oral
Division of Chemical Information |