MOTIVATION We introduce a new approach to using the information contained in sequence-to-function prediction data in order to recognize protein template classes, a critical step in predicting protein structure. The data on which our method is based comprise probabilities of functional categories; for given query sequences these probabilities are obtained by a neural net that has previously been...

Protein folding is one of the most important and intriguing of the unsolved problems at the interface between chemistry and biology. The ability of polypeptide chains to fold into unique compact conformations with a vast array of biological functions is rare, if not unique, among high polymers. At this time there is no reason to believe that the chemical interactions currently recognized in sma...

Accurate identification of drug targets is a crucial part of any drug development program. We mined the human proteome to discover properties of proteins that may be important in determining their suitability for pharmaceutical modulation. Data was gathered concerning each protein's sequence, post-translational modifications, secondary structure, germline variants, expression profile and drug t...