System, method and computer program product for fast and...

Combinatorial chemistry technology: method – library – apparatus – Method of screening a library – In silico screening

Reexamination Certificate

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

C702S019000, C702S020000, C702S027000

Reexamination Certificate

active

07416524

ABSTRACT:
A system, method, and computer program product for fast and efficient searching of large virtual combinatorial libraries based on a fitness function. According to the method of the present invention, a first set of N reagent combinations are selected, for example, at random, from a virtual combinatorial library. Each reagent combination in the first set is then enumerated to produce a first set of enumerated compounds. M number of compounds of the first set of enumerated compounds are selected based on the fitness function. The M compounds are then deconvoluted into reagents to generate a focused library. Substantially every reagent combination associated with the focused library is enumerated to produce a second set of enumerated compounds. K number of compounds of the second set of enumerated compounds are then selected based on the fitness function. These K compounds represent a near optimal selection of compounds based on the fitness function.

REFERENCES:
patent: 4811217 (1989-03-01), Tokizane et al.
patent: 4859736 (1989-08-01), Rink
patent: 4908773 (1990-03-01), Pantoliano et al.
patent: 4935875 (1990-06-01), Shah et al.
patent: 4939666 (1990-07-01), Hardman
patent: 5010175 (1991-04-01), Rutter et al.
patent: 5025388 (1991-06-01), Cramer, III et al.
patent: 5155801 (1992-10-01), Lincoln
patent: 5167009 (1992-11-01), Skeirik
patent: 5240680 (1993-08-01), Zuckermann et al.
patent: 5260882 (1993-11-01), Blanco et al.
patent: 5265030 (1993-11-01), Skolnick et al.
patent: 5270170 (1993-12-01), Schatz et al.
patent: 5288514 (1994-02-01), Ellman
patent: 5307287 (1994-04-01), Cramer, III et al.
patent: 5331573 (1994-07-01), Balaji et al.
patent: 5434796 (1995-07-01), Weininger
patent: 5436850 (1995-07-01), Eisenberg et al.
patent: 5442122 (1995-08-01), Noda et al.
patent: 5463564 (1995-10-01), Agrafiotis et al.
patent: 5499193 (1996-03-01), Sugawara et al.
patent: 5519635 (1996-05-01), Miyake et al.
patent: 5526281 (1996-06-01), Chapman et al.
patent: 5545568 (1996-08-01), Ellman
patent: 5549974 (1996-08-01), Holmes
patent: 5565325 (1996-10-01), Blake
patent: 5574656 (1996-11-01), Agrafiotis et al.
patent: 5585277 (1996-12-01), Bowie et al.
patent: 5602755 (1997-02-01), Ashe et al.
patent: 5612895 (1997-03-01), Balaji et al.
patent: 5634017 (1997-05-01), Mohanty et al.
patent: 5635598 (1997-06-01), Lebl et al.
patent: 5670326 (1997-09-01), Beutel
patent: 5679582 (1997-10-01), Bowie et al.
patent: 5684711 (1997-11-01), Agrafiotis et al.
patent: 5703792 (1997-12-01), Chapman
patent: 5712171 (1998-01-01), Zambias et al.
patent: 5712564 (1998-01-01), Hayosh
patent: 5736412 (1998-04-01), Zambias et al.
patent: 5789160 (1998-08-01), Eaton et al.
patent: 5807754 (1998-09-01), Zambias et al.
patent: 5811241 (1998-09-01), Goodfellow et al.
patent: 5832494 (1998-11-01), Egger et al.
patent: 5858660 (1999-01-01), Eaton et al.
patent: 5861532 (1999-01-01), Brown et al.
patent: 5866334 (1999-02-01), Beutel
patent: 5901069 (1999-05-01), Agrafiotis et al.
patent: 5908960 (1999-06-01), Newlander
patent: 5933819 (1999-08-01), Skolnick et al.
patent: 6037135 (2000-03-01), Kubo et al.
patent: 6049797 (2000-04-01), Guha et al.
patent: 6127191 (2000-10-01), Graybill et al.
patent: 6185506 (2001-02-01), Cramer et al.
patent: 6240374 (2001-05-01), Cramer et al.
patent: 6253168 (2001-06-01), Griffey et al.
patent: 0 355 266 (1993-06-01), None
patent: 0 355 628 (1993-11-01), None
patent: 0 770 876 (1997-05-01), None
patent: 0 818 744 (1998-01-01), None
patent: WO 91/19735 (1991-12-01), None
patent: WO 92/00091 (1992-01-01), None
patent: WO 93/20242 (1993-10-01), None
patent: WO 94/28504 (1994-12-01), None
patent: WO 95/01606 (1995-01-01), None
patent: WO 97/09342 (1997-03-01), None
patent: WO 97/20952 (1997-06-01), None
patent: WO 97/27559 (1997-07-01), None
patent: WO 98/20437 (1998-05-01), None
patent: WO 98/20459 (1998-05-01), None
“3DP Gains drug research patent,” Source of publication unclear, vol. 32, No. 1, Jan. 1996, 2 pages.
Agrafiotis, D.k., “A New Method for Analyzing Protein Sequence Relationships Based on Sammon Maps,”Protein Science, vol. 6, No. 2, Feb. 1997, pp. 287-293.
Agrafiotis, D.K., et al., “Stochastic Algorithms for Maximizing Molecular Diversity,”Journal of Chemical Information and Computer Sciences, vol. 37, pp. 841-851, (1997).
Alsberg, B.K. et al., “Classification of pyrolysis mass spectra by fuzzy multivariate rule induction-comparison with regression, K-nearest neighbor, neural and decision-tree methods,”Analytica Chimica Acta, vol. 348, No. 1-3, pp. 389-407, (Aug. 20, 1997).
Amzel, L.M., “Structure-based drug design,”Current Opinion in Biotechnology, vol. 9, No. 4, Aug. 1998, pp. 366-369.
Andrea, T.A. et al., “Applications of Neural Networks in Quantitative Structure-Activity Relationships of Dihydrofolate Reductase Inhibitors,”Journal of Medicinal Chemistry, vol. 34, No. 9, pp. 2824-2836, (1991).
Aoyama, T. et al., “Neural Networks Applied to Quantitative Structure-Activity Relationship Analysis,”Journal of Medicinal Chemistry, vol. 33, No. 9, pp. 2583-2590, (1990).
Aoyama, T. et al., “Neural Networks Applied to Structure-Activity Relationships,”Journal of Medicinal Chemistry, vol. 33, No. 3, pp. 905-908, (1990).
Aoyama, T. and Hiroshi Ichikawa, “Obtaining the Correlation Indices between Drug Activity and Structural Parameters Using a Neural Network,”Chemical&Pharmaceutical Bulletin, vol. 39, No. 2, pp. 372-378, (1991).
“ArQule Inc,” from http://www.bioportfolio.com/argule/products.htm, 5 pages, (Mar. 18, 1998).
Baum, R.M., “Combinatorial Approaches Provide Fresh Leads for Medicinal Chemistry,”Chemical&Engineering News, Feb. 7, 1994 (pp. 20-26).
Bentley, J.L., “Multidimensional Binary Search Trees Used for Associative Searching,”Communications of the ACM, vol. 18, No. 9, pp. 509-517, (Sep. 1975).
Blaney, J.M. and Martin, E.J., “Computational approaches for combinatorial library design and molecular diversity analysis,”Current Opinion in Chemical Biology, vol. 1, No. 1, Jun. 1997, pp. 54-59.
Bottou, L. and Vladimir Vapnik, “Local Learning Algorithms,”Neural Computation, vol. 4, No. 6, pp. 888-900, (Nov. 1992).
Boulu, L.G. and Gordon M. Crippen, “Voronoi Binding Site Models: Calculation of Binding Modes and Influence of Drug Binding Data Accuracy,”Journal of Computational Chemistry, vol. 10, No. 5, pp. 673-682, (1989).
Boulu, L.G. et al., “Voronoi Binding Site Model of a Polycyclic Aromatic Hydrocarbon Binding Protein,”Journal of Medicinal Chemistry, vol. 33, No. 2, pp. 771-775, (1990).
Brown, R.D. and Clark, D.E., “Genetic Diversity: Applications of evolutionary algorithms to combinatorial library design,”Expert Opinion on Therapeutic Patents, vol. 8, No. 11, Nov. 1998, pp. 1447-1459.
Brown, R.D. and Yvonne C. Martin, “Use of Structure-Activity Data To Compare Structure-Based Clustering Methods and Descriptors for Use in Compound Selection,”Journal of Chemical Information and Computer Sciences, vol. 36, No. 3, pp. 572-584, (1996).
Cacoullos, T., “Estimation of a Multivariate Density”,Annals of The Institute of Statistical Mathematics, vol. 18, No. 2, pp. 179-189, (1966).
Caflisch, A. and Karplus, M., “Computational combinatorial chemistry for de novo ligand design: Review and assessment,”Perspectives in Drug Discovery and Design, vol. 3, 1995, pp. 51-84.
Clark, D. E., and David R. Westhead, “Evolutionary algorithms in computer-aided molecular design”,Journal of Computer-Aided Molecular Design, vol. 10, No. 4, pp. 337-358, (Aug. 1996).
Clark, R.D., “OptiSim: An Extended Dissimilarity Selection Method for Finding Diverse Representative Subsets”,Journal of Chemical Information and Computer Sciences, vol. 37, No. 6, pp. 1181-1188 (12 Page Internet printout), 1997.
Cramer, R. D. III et al., “Comparative Molecular Field Analyisis (CoMFA). 1. Effect of Shape on

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

System, method and computer program product for fast and... does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with System, method and computer program product for fast and..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and System, method and computer program product for fast and... will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-4001353

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.