Abstract: The present invention relates generally to tissue differentiation factor (TDF) analogs. More specifically, the invention relates to structure-based methods and compositions useful in designing, identifying, and producing molecules which act as functional modulators of TDF-like receptors. The invention further relates to methods of detecting, preventing, and treating TDF-associated disorders.

Abstract: The present invention relates generally to tissue differentiation factor (TDF) analogs. More specifically, the invention relates to structure-based methods and compositions useful in designing, identifying, and producing molecules which act as functional modulators of TDF-like receptors. The invention further relates to methods of detecting, preventing, and treating TDF-associated disorders.

Abstract: The present invention relates generally to tissue differentiation factor (TDF) analogs. More specifically, the invention relates to structure-based methods and compositions useful in designing, identifying, and producing molecules which act as functional modulators of TDF-like receptors. The invention further relates to methods of detecting, preventing, and treating TDF-associated disorders.

Abstract: A computer classification method and apparatus employs statistical analysis of known objects in the class of interest. For each known object in the class, a respective vector of q bits is formed. Each bit indicates presence or absence of an activity or physical property in the object. The probability that a bit is equal to 1 in the class is then applied to vector representations of test objects and determines probability of the test object belonging to the class.

Abstract: Disclosed are methods for identifying agents which modulate the activity of bone morphogenetic protein-7. These methods for identifying agents utilize bone morphogenetic protein receptors, specifically the daf-4 receptor, and more specifically the extracellular domain of the daf-4 receptor. Agents identified by the methods are also described as well as compositions comprising the agents and methods of treating a subject using the agents or compositions.

Abstract: Disclosed is a compound which inhibits binding between a target protein and a macromolecular ligand of the target protein. The compound comprises a targeting group, an attaching group and, optionally a linker group. In one aspect of the invention, the targeting group is a moiety that binds non-covalently to a surface of the target protein with a Kd of greater than about 0.1 ?M and within sufficient proximity to the target protein/macromolecular ligand binding site to inhibit binding between the target protein and the macromolecular ligand. In another aspect of the invention, targeting group is degradable in vivo. In yet another aspect of the invention, the compound comprises a linker group that is cleavable in vivo.

Abstract: A computer classification method and apparatus employs statistical analysis of known objects in the class of interest. For each known object in the class, a respective vector of q bits is formed. Each bit indicates presence or absence of an activity or physical property in the object. The probability that a bit is equal to 1 in the class is then applied to vector representations of test objects and determines probability of the test object belonging to the class.

Abstract: Disclosed are methods for identifying agents which modulate the activity of bone morphogenetic protein-7. These methods for identifying agents utilize bone morphogenetic protein receptors, specifically the daf-4 receptor, and more specifically the extracellular domain of the daf-4 receptor. Agents identified by the methods are also described as well as compositions comprising the agents and methods of treating a subject using the agents or compositions.