METHODS AND SYSTEMS FOR PREDICTING PROTEIN-LIGAND COUPLING SPECIFICITIES

• Main Authors: GULUKOTA, KAMALAKAR, PAUSCH, MARK, H, SREEKUMAR, RAMAN KODANGATTIL, HUANG, YOUPING
• Format: Patent
• Language: English; French; German
• Published: 09.05.2007
• Subjects: CHEMISTRY; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS; INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES; MEASURING; METALLURGY; ORGANIC CHEMISTRY; PEPTIDES; PHYSICS; TESTING

The invention provides methods and systems for predicting or evaluating protein-ligand coupling specificities. A pattern recognition model can be trained by selected sequence segments of training proteins which have a specified ligand coupling specificity. Each selected sequence segment is believed to include amino acid residue(s) that may contribute to the ligand coupling specificity of the corresponding training protein. Sequence segments in a protein of interest can be similarly selected and used to query the trained model to determine if the protein of interest has the same ligand coupling specificity as the training proteins. In one embodiment, the pattern recognition model employed is a hidden Markov model which is trained by concatenated cytosolic domains of GPCRs which have interaction preference to a specified class of G proteins. This trained model can be used to evaluate G protein coupling specificity of orphan GPCRs.