Addressing the Challenges Posed by Combinatorial Chemistry: 3D Databases, Pharmacophore Recognition and Beyond

Abstract The flow of information in combinatorial chemistry is much like that which medicinal chemists have traditionally faced; however, the speed and quantity of that flow is much greater. In traditional chemistry, computational tools have been applied essentially as a replacement for Dreiding models; with combi-chem, the use of computational tools now becomes compelling. In our environment, the primary focus is less on the use of combi-chem in the development of universal libraries for screening, and more on its use in the development of targeted libraries. Hence, the four primary challenges we face are: (1) gaining an understanding of the structure-activity relationship (SAR), (2) using that understanding in the iterative design of new targeted libraries, (3) incorporating any structural data into that iterative design process, and (4) registering the compounds produced by combi-chem into a database. For computational tools to be effective, they must address these challenges more quickly and more accu...

[1]  Á. Furka,et al.  General method for rapid synthesis of multicomponent peptide mixtures. , 2009, International journal of peptide and protein research.

[2]  B. E. Evans,et al.  Methods for drug discovery: development of potent, selective, orally effective cholecystokinin antagonists. , 1988, Journal of Medicinal Chemistry.

[3]  John H. Van Drie,et al.  Strategies for the determination of pharmacophoric 3D database queries , 1997, J. Comput. Aided Mol. Des..

[4]  D A Konings,et al.  Deconvolution of combinatorial libraries for drug discovery: a model system. , 1995, Journal of medicinal chemistry.

[5]  Thomas G. Dietterich,et al.  Compass: A shape-based machine learning tool for drug design , 1994, J. Comput. Aided Mol. Des..

[6]  R. B. Merrifield Solid phase peptide synthesis. I. the synthesis of a tetrapeptide , 1963 .

[7]  David Weininger,et al.  SMILES, a chemical language and information system. 1. Introduction to methodology and encoding rules , 1988, J. Chem. Inf. Comput. Sci..

[8]  R. Houghten,et al.  Generation and use of synthetic peptide combinatorial libraries for basic research and drug discovery , 1991, Nature.

[9]  John H. Van Drie "Shrink-Wrap" Surfaces: A New Method for Incorporating Shape into Pharmacophoric 3D Database Searching , 1997, J. Chem. Inf. Comput. Sci..

[10]  John H. Van Drie An inequality for 3D database searching and its use in evaluating the treatment of conformational flexibility , 1996, J. Comput. Aided Mol. Des..

[11]  Dorica Mayer,et al.  A unique geometry of the active site of angiotensin-converting enzyme consistent with structure-activity studies , 1987, J. Comput. Aided Mol. Des..

[12]  M. J. Gardner,et al.  COMBINATORIAL SYNTHESIS : THE DESIGN OF COMPOUND LIBRARIES AND THEIR APPLICATION TO DRUG DISCOVERY , 1995 .

[13]  Barry A. Bunin,et al.  A general and expedient method for the solid-phase synthesis of 1,4-benzodiazepine derivatives , 1992 .

[14]  K Gubernator,et al.  Design and synthesis of potent and highly selective thrombin inhibitors. , 1994, Journal of medicinal chemistry.