U.S. patents available from 1976 to present.
U.S. patent applications available from 2005 to present.

Comparative molecular field analysis (CoMFA)

Patent 5025388 Issued on June 18, 1991. Estimated Expiration Date: Icon_subject August 26, 2008. Estimated Expiration Date is calculated based on simple USPTO term provisions. It does not account for terminal disclaimers, term adjustments, failure to pay maintenance fees, or other factors which might affect the term of a patent.

Patent References

Method and device for storing stereochemical information about chemical compounds
Patent #: 4473890
Issued on: 09/25/1984
Inventor: Araki

Storage and retrieval of generic chemical structure representations
Patent #: 4642762
Issued on: 02/10/1987
Inventor: Fisanick

Computer based system and method for determining and displaying possible chemical structures for converting double- or multiple-chain polypeptides to single-chain polypeptides Patent #: 4704692
Issued on: 11/03/1987
Inventor: Ladner

Inventors

Application

No. 237491 filed on 08/26/1988

US Classes:

700/293, Abnormal power, current, or impedance condition703/6, SIMULATING NONELECTRICAL DEVICE OR SYSTEM703/11Biological or biochemical

Examiners

Primary: Lall, Parshotam S.
Assistant: Ramirez, Ellis B.

Attorney, Agent or Firm

International Class

G06F 013/46

Abstract

Comparative Molecular Field Analysis (CoMFA) is an effective computer implemented methodology of 3D-QSAR employing both interactive graphics and statistical techniques for correlating shapes of molecules with their observed biological properties. For each molecule of a series of known substrates the steric and electrostatic interaction energies with a test probe atom are calculated at spatial coordinates around the molecule. Subsequent analysis of the data table by a partial least squares (PLS) cross-validation technique yields a set of coefficients which reflect the relative contribution of the shape elements of the molecular series to differences in biological activities. Display in three dimensions in an interactive graphics environment of the spatial volumes highly associated with biological activity, and comparison with molecular structures yields an understanding of intermolecular associations. CoMFA will also predict the biological activity of new molecular species.

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