The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Feb. 12, 2008

Filed:

Apr. 02, 2001
Applicants:

Richard D. Cramer, Sante Fe, NM (US);

Robert J. Jilek, St. Peters, MO (US);

Qian Liu, Ballwin, MO (US);

Stephan Guessregen, Holsworthy, Devon, GB;

Bernd Wendt, 86947 Weil, DE;

Katherine M. Andrews, Sante Fe, NM (US);

Inventors:

Richard D. Cramer, Sante Fe, NM (US);

Robert J. Jilek, St. Peters, MO (US);

Qian Liu, Ballwin, MO (US);

Stephan Guessregen, Holsworthy, Devon, GB;

Bernd Wendt, 86947 Weil, DE;

Katherine M. Andrews, Sante Fe, NM (US);

Assignee:

Other;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G01N 33/48 (2006.01);
U.S. Cl.
CPC ...
Abstract

Heterogeneous compound databases can be searched for compounds which are likely to have the same biological activity as a known (query) molecule. Query molecules and the molecules in the database are split into fragments according to common fragmentation rules. Fragments are aligned in a uniform conformation according to a topomeric alignment process and interaction energy fields, typically steric fields, between a probe and the fragment atoms are generated to capture the fragment shapes. Comparison of the fields for the query fragments with the fields for the database compound fragments yields a measure of shape similarity. Searches for similarly shaped substructures and cores can also be readily accomplished. Pharmacophoric style features can be defined for the topomerically aligned fragments but with user specified weighting of the importance of each. Differences in features are defined with the same dimensionality as shape so that both shape and features can be used to search.


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