STRUCTURE-BASED MODELING AND TARGET-SELECTIVITY PREDICTION

摘要

The present invention provides, inter alia, methods, models, and systems for selecting an effector having specificity for a target molecule. The methods and systems of the present invention involve several steps, including compiling a database containing structural data for a library of molecules and a population of ligands and activity data, establishing structure-based equivalence of sequence elements in the library of molecules, determining likely spatial orientations of population ligands in library molecules, calculating interaction energies for each ligand-molecule pair, generating statistical models that are predictive of sequence elements likely to contribute to a differential effect of ligands on molecules, selecting an effector that is likely to have a desired specificity for the target molecule, experimentally determining activity data for effector-library molecule pairs, and at least once repeating the steps listed above wherein the effector is a member of the population of ligands.

主权项

1. A computational method for selecting an effector having specificity for a target molecule, the method comprising:
a) compiling a database containing (i) three-dimensional structural data for members of a library of molecules each having a known chemical sequence comprising sequence elements, the library comprising the target molecule and other member molecules structurally related to the target molecule, (ii) structural data for members of a population of ligands each having a known chemical structure, and (iii) activity data quantifying an effect of ligand population members upon the activity of molecule library members wherein the ligands of the ligand-molecule pairs are selected from the ligand population members, the molecules of the ligand-molecule pairs are selected from the molecule library members and different ligand-molecule pairs in the set comprise a different ligand, a different molecule, or both a different ligand and a different molecule relative to other ligand-molecule pairs in the set, and wherein the activity data differs for different ligand-molecule pairs in the set; b) establishing structure-based equivalence of the sequence elements and labeling the sequence elements of different molecule library members to reflect said equivalence; c) determining likely spatial orientations of the ligand population members in the ligand-molecule pairs for which the database comprises activity data; d) calculating, for the ligand-molecule pairs for which the database comprises activity data, interaction energies of the ligand population member with proximal sequence elements of the molecule library member of the respective ligand-molecule pairs when the ligand population member is in a determined likely spatial orientation; e) generating at least one statistical model that is predictive of those sequence elements of the molecule library members that are likely to contribute to a differential effect of ligand population members on molecule library members using the calculated interaction energies and the activity data corresponding to the ligand-molecule pairs for which the database contains activity data; f) selecting an effector that is likely, based upon the generated statistical model(s), to have specificity for the target molecule that exceeds the specificity of the effector for other molecule library member(s); g) experimentally determining activity data quantifying an effect of the selected effector upon the activity of one or more molecule library members; and, h) at least once, repeating steps (a) and (c) through (g) wherein in a later iteration of steps (a) and (c) through (g) the effector selected in step (f) of an earlier iteration of steps (c) through (g) is a member of the population of ligands.