Prediction of molecular polar surface area and bioabsorption
AssigneeAcclerys Software, Inc.
InventorsWilliam J. Egan, Giorgio Lauri
Life of this patent
Estimating the term…
Abstract
The polar surface area of molecules is computed without reference to three dimensional molecular structures using a linear equation incorporating counts of nitrogens, oxygens, and related atom clusters. Methods and systems for predicting intestinal absorption and blood brain barrier penetration of candidate compounds use the polar surface area and the octanol/water partition coefficient as descriptors.
Claims32
A method of estimating the polar surface area of a molecule comprising:
- making separate counts of the number of atoms or atom clusters in said molecule which fall within the definition of each of a plurality of atomic classes;
- estimating a polar surface area of said molecule using at least some of said separate counts.
A method of estimating the molecular polar surface area of a molecule comprising performing counts of pre-defined atom types and/or atom cluster types present in said molecule and estimating said molecular polar surface area using said counts weighted by coefficients and summed together, without reference to an energy minimized three-dimensional molecular structure of said molecule.
A method of predicting the propensity of a molecule for membrane permeability comprising:
- computing a polar surface area for said molecule without reference to an energy minimized three dimensional structure of said molecule;
- and
- using said computed polar surface area to predict said propensity.
A method of drug discovery comprising:
- computing polar surface areas for a plurality of molecules without reference to an energy minimized three dimensional structure for at least some of said molecules;
- and
- using said computed polar surface area in a membrane permeability prediction model so as to select one or more of said molecules for further analysis.
A method of drug discovery comprising:
- selecting a subset of molecules from a database, wherein said selecting comprises:
- estimating a numerical measure of polar quality for at least some molecules in said database;
- estimating a numerical measure of lipophilicity for said at least some molecules in said database;
- determining the position of said at least some molecules in a polar quality-lipophilicity plane;
- and
- categorizing compounds based on their position on said plane.
A computer readable medium having instructions stored thereon which cause a general purpose computer to perform a method of molecular PSA estimation, said method comprising:
- making separate counts of the number of atoms or atom clusters in a molecule which fall within the definition of each of each of a plurality of atomic classes;
- retrieving a plurality of coefficients;
- multiplying said separate counts by selected ones of said plurality of coefficients and summing the products thereof.
A computer implemented drug discovery system comprising:
- an estimation module for estimating a numerical measure of molecular polar quality without reference to three dimensional molecular structures;
- an estimation module for estimating a numerical measure of molecular lipophilicity without reference to three dimensional molecular structures;
- a molecule selection module for categorizing molecules based on the results of said estimations.
A system for drug discovery comprising:
- a database storing information regarding the atomic constituents and interatomic bonds for a plurality of molecules;
- and
- means for estimating the PSA for each of said plurality of molecules without reference to an energy minimized three dimensional structure for any of said plurality of molecules
A method of drug discovery comprising:
- estimating a polar surface area (PSA) of a molecule;
- estimating logP for said molecule;
- and
- estimating logBB for said molecule by using said estimates of said PSA and said logP in the formula a*PSA+b*logP+c, wherein a is a constant having a value of about −0.0145 to about −0.0165, wherein b is a constant having a value of about 0.21 to about 0.33, and wherein c is a constant having a value of about 0.039 to about 0.12.
Dependencies are inferred from the claim text.