Methods for disease treatment and drug discovery
AssigneeThe Scripps Research Institute
InventorsChao Wang, William E. Balch
Life of this patent
Estimating the term…
Abstract
Drug administration is performed in view of variation spatial profiling (VSP) of patients or potential patients. Spatial-covariance (SCV) relationships relate the position of the disease-associated variant in the polypeptide chain with cell-based models and clinical features of disease. An understanding of SCV relationships for a sparse collection of known fiduciary variants can be used to generate the shape of phenotype landscapes that measure the differential disease behavior for unknown variants, and between distinct cell and tissue environments in patients. The phenotype landscapes can determine which pharmaceutical compounds are administered to potential patients.
Claims10
A method of estimating a biological or chemical property of one or more molecule variants, wherein the molecule variants are characterized by different molecular features, the method comprising:
- receiving or computing a first plurality of position values for a first plurality of molecular features;
- receiving or computing a first plurality of severity values for a first phenotypic property exhibited by a cell or animal or patient harboring the molecule when the molecule contains each of the first plurality of molecular features;
- receiving or computing a first plurality of severity values for a second phenotypic property different from the first phenotypic property exhibited by a cell or animal or patient harboring the molecule when the molecule contains each of the first plurality of molecular features;
- computing a first plurality of two-dimensional coordinates, one for each of the first plurality of molecular features using the first plurality of position values of the first plurality of molecular features on a first coordinate axis and the first plurality of severity values of the first phenotypic property corresponding to each of the first plurality of molecular features on a second coordinate axis;
- computing a distance in the plane defined by the first coordinate axis and the second coordinate axis between each different pair of the first plurality of computed two dimensional coordinates;
- computing at least one relationship between the variance of the first plurality of severity values of the second phenotypic property and distance in the plane defined by the first coordinate axis and the second coordinate axis using sets of the computed distances that fall within defined distance ranges;
- computing a second plurality of severity values for the second phenotypic property for a second plurality of two dimensional coordinates in the plane defined by the first coordinate axis and the second coordinate axis that are not among the first plurality of two dimensional coordinates of the first plurality of molecular features, wherein the computing of a severity value for the second phenotypic property for each given one of the second plurality of two dimensional coordinates is based at least in part on (1) the distance between the given one of the second plurality of two dimensional coordinates and each of the first plurality of two dimensional coordinates corresponding to the first plurality of molecular features, and (2) the severity value for the second phenotypic property at each of the first plurality of two dimensional coordinates corresponding to the first plurality of molecular features;
- and
- generating a three-dimensional visualization of the computed severity values for the second phenotypic property at the second plurality of two-dimensional coordinates.
Dependencies are inferred from the claim text.