Abstract: Anti-5T4 antibodies, anti-5T4 antibody/drug conjugates, and methods for preparing and using the same.

Abstract: Antibodies that bind specifically to receptor for advanced glycation end products (RAGE) and RAGE-binding fragments thereof are disclosed. Also disclosed are pharmaceutical compositions comprising such anti-RAGE antibodies and RAGE-binding antibody fragments thereof, and their use for treatment of RAGE related diseases.

Abstract: Anti-5T4 antibodies, anti-5T4 antibody/drug conjugates, and methods for preparing and using the same.

Abstract: TNFRSF19 nucleic acids and proteins, TNFRSF19 binding partners and modulators, and methods of using the same.

Abstract: This invention relates to isolated nucleic acid and amino acid sequences of rat TRPM7 gene, expression cassettes nucleic acid sequences of rat TRPM7 gene, recombinant host cells comprising nucleic acid and amino acid sequences of rat TRPM7 gene, and methods of screening for modulators of the TRPM7 gene and protein.

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.