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:
Jul. 30, 2013

Filed:

Sep. 25, 2009
Applicants:

Hashim M. Al-hashimi, Ann Arbor, MI (US);

Andrew Stelzer, Ann Arbor, MI (US);

Ioan Andricioaei, Irvine, CA (US);

Aaron Frank, Irvine, CA (US);

Inventors:

Hashim M. Al-Hashimi, Ann Arbor, MI (US);

Andrew Stelzer, Ann Arbor, MI (US);

Ioan Andricioaei, Irvine, CA (US);

Aaron Frank, Irvine, CA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 19/00 (2006.01); G01N 31/00 (2006.01);
U.S. Cl.
CPC ...
Abstract

Methods for generating putative ligand structures capable of altering the activity of a target effector molecule comprise: constructing an elongated monomer of the target effector molecule; constructing a three dimensional model of the target effector molecule under the influence of elongation using empirical three dimensional data, the model including a conformation revealing the binding portion of the target effector molecule to a putative ligand structure; generating a plurality of computational models of the target effector molecule; filtering the plurality of computational models against the three dimensional model created experimentally using a reiterative simulation analysis algorithm operable to identify and select a plurality of computational models having a root-mean square deviation below a predetermined threshold when compared to the three dimensional model of the target effector molecule; screening a plurality of ligands to rank the binding strength of each ligand with the plurality of computational models selected and selecting one or more ligands based on the ranking.


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