Abstract: 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.

Abstract: 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.

Abstract: This invention relates to newly identified human pancortin polypeptides, the interaction of the pancortin polypeptides with a Pablo polypeptide, the use of such polypeptides, as well as the production of such polypeptides. The invention relates also to identifying compounds which modulate the activity of a pancortin polypeptides and/or the interaction of a pancortin-Pablo polypeptide interaction, wherein modulators can be agonists, antagonists and/or inhibitors of pancortin and/or the pancortin/Pablo interaction and therefore potentially useful in therapy.

Abstract: Improved methods for designing molecular conjugate therapeutics are described. Antibodies are described having specificity for a targeting antigen, said antigen comprising one or more MHC-binding peptides bound to a corresponding class I MHC molecule. When linked to a label or toxic agent, the resulting antibody conjugate can be used for diagnosis, imaging and for treatment against pathogens.

Abstract: Novel mGluR5M polypeptides, proteins, and nucleic acid molecules are disclosed. In addition to isolated, full-length mGluR5M proteins, the invention further provides isolated mGluR5M fusion proteins, antigenic peptides and anti-mGluR5M antibodies. The invention also provides mGluR5M nucleic acid molecules, recombinant expression vectors containing a nucleic acid molecule of the invention, host cells into which the expression vectors have been introduced and non-human transgenic animals in which a mGluR5M gene has been introduced or disrupted. Diagnostic, screening and therapeutic methods utilizing compositions of the invention are also provided.

Abstract: Isolated polynucleotides which have been derived from a variety of human tissue sources, and which encode novel secreted proteins, are provided. Also provided are methods for producing proteins using these polynucleotides, and the proteins so produced.

Abstract: Isolated polynucleotides which have been derived from a variety of human tissue sources, and which encode novel secreted proteins, are provided. Also provided are methods for producing proteins using these polynucleotides, and the proteins so produced.

Abstract: A method and apparatus are disclosed for identifying protein-coding regions in a nucleic acid sequence. In order to predict the coding regions within a sequence, a single metric is used without reference or comparison to a predetermined noise level or signal-to-noise ratio. This single metric, periodicity at ⅓, is analyzed using a discrete cosine transformation (DiCTion) function. For each open reading frame or sequence region, a score is generated using the discrete cosine transformation function. Regions within a sequence that have a score above a predetermined threshold are identified as protein-coding regions. The aspects of the invention may also be applied to gather other information from sequences, such as the location of the borders of a putative coding region, within a genomic sequence.