Binding site similarity, small- molecule similarity and binding profiles

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• Dr Rafi Najmanovich, (European Bioinformatics Institute)
• Friday 23 June 2006, 12:10-12:55
• Emmanuel College Cambridge.

If you have a question about this talk, please contact Duncan Simpson.

In the present work we combine computational analysis and experimental data to explore the extent to which binding site similarities between members of the human cytosolic sulfotransferase family correlate with small-molecule binding profiles. Conversely, from a small-molecule point of view, we explore the extent to which structural similarities between small-molecules correlate to protein binding profiles. The comparison of binding site structural similarities and small-molecule binding profiles shows that proteins with similar small-molecule binding profiles tend to have a higher degree of binding site similarity but the latter is not sufficient to predict small-molecule binding patterns, highlighting the difficulty of predicting small-molecule binding patterns from sequence or structure. Likewise, from a small-molecule perspective, small-molecules with similar protein binding profiles tend to be topologically similar but topological similarity is not sufficient to predict their protein binding patterns. These observations have important consequences for function prediction and drug design

This talk is part of the Modelling Biology series.

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• All Talks (aka the CURE list)
• Emmanuel College Cambridge
• Modelling Biology

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