Literature DB >> 19593647

Combinatorial library-based design with Basis Products.

Joe Zhongxiang Zhou1, Shenghua Shi, Jim Na, Zhengwei Peng, Tom Thacher.   

Abstract

Uncovering useful lead compounds from a vast virtual library of synthesizable compounds continues to be of tremendous interest to pharmaceutical researchers. Here we present the concept of Basis Products (BPs), a new and broadly applicable method for achieving efficient selections from a combinatorial library. By definition, Basis Products are a strategically selected subset of compounds from a potentially very large combinatorial library, and any compound in a combinatorial library can represented by its BPs. In this article we will show how to use BP docking scores to find the top compounds of a combinatorial library. Compared with the brute-force docking of an entire virtual library, docking with BPs are much more efficient because of the substantial size reduction, saving both time and resources. We will also demonstrate how BPs can be used for property-based combinatorial library designs. Furthermore, BPs can also be considered as fragments carrying chemistry knowledge, hence they can potentially be used in combination with any fragment-based design method. Therefore, BPs can be used to integrate combinatorial design with structure-based design and/or fragment-based design. Other potential applications of BPs include lead hopping and consensus core building, which we will describe briefly as well in this report.

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Year:  2009        PMID: 19593647     DOI: 10.1007/s10822-009-9297-9

Source DB:  PubMed          Journal:  J Comput Aided Mol Des        ISSN: 0920-654X            Impact factor:   3.686


  42 in total

1.  DREAM++: flexible docking program for virtual combinatorial libraries.

Authors:  S Makino; T J Ewing; I D Kuntz
Journal:  J Comput Aided Mol Des       Date:  1999-09       Impact factor: 3.686

2.  Efficient combinatorial filtering for desired molecular properties of reaction products.

Authors:  S Shi; Z Peng; J Kostrowicki; G Paderes; A Kuki
Journal:  J Mol Graph Model       Date:  2000 Aug-Oct       Impact factor: 2.518

Review 3.  High throughput physicochemical profiling for drug discovery.

Authors:  E H Kerns
Journal:  J Pharm Sci       Date:  2001-11       Impact factor: 3.534

4.  The consequences of translational and rotational entropy lost by small molecules on binding to proteins.

Authors:  Christopher W Murray; Marcel L Verdonk
Journal:  J Comput Aided Mol Des       Date:  2002-10       Impact factor: 3.686

5.  OptiDock: virtual HTS of combinatorial libraries by efficient sampling of binding modes in product space.

Authors:  Dennis G Sprous; David R Lowis; Joseph M Leonard; Trevor Heritage; Steven N Burkett; David S Baker; Robert D Clark
Journal:  J Comb Chem       Date:  2004 Jul-Aug

6.  Ligand efficiency: a useful metric for lead selection.

Authors:  Andrew L Hopkins; Colin R Groom; Alexander Alex
Journal:  Drug Discov Today       Date:  2004-05-15       Impact factor: 7.851

7.  REALISIS: a medicinal chemistry-oriented reagent selection, library design, and profiling platform.

Authors:  Aziz Yasri; Didier Berthelot; Harry Gijsen; Theo Thielemans; Patrick Marichal; Michael Engels; Jan Hoflack
Journal:  J Chem Inf Comput Sci       Date:  2004 Nov-Dec

8.  Application of lean manufacturing concepts to drug discovery: rapid analogue library synthesis.

Authors:  Harold N Weller; David S Nirschl; Edward W Petrillo; Michael A Poss; Charles J Andres; Cullen L Cavallaro; Martin M Echols; Katherine A Grant-Young; John G Houston; Arthur V Miller; R Thomas Swann
Journal:  J Comb Chem       Date:  2006 Sep-Oct

9.  Similarity searching and scaffold hopping in synthetically accessible combinatorial chemistry spaces.

Authors:  Markus Boehm; Tong-Ying Wu; Holger Claussen; Christian Lemmen
Journal:  J Med Chem       Date:  2008-04-02       Impact factor: 7.446

10.  CombiDOCK: structure-based combinatorial docking and library design.

Authors:  Y Sun; T J Ewing; A G Skillman; I D Kuntz
Journal:  J Comput Aided Mol Des       Date:  1998-11       Impact factor: 3.686

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  1 in total

1.  Design of a multi-purpose fragment screening library using molecular complexity and orthogonal diversity metrics.

Authors:  Wan F Lau; Jane M Withka; David Hepworth; Thomas V Magee; Yuhua J Du; Gregory A Bakken; Michael D Miller; Zachary S Hendsch; Venkataraman Thanabal; Steve A Kolodziej; Li Xing; Qiyue Hu; Lakshmi S Narasimhan; Robert Love; Maura E Charlton; Samantha Hughes; Willem P van Hoorn; James E Mills
Journal:  J Comput Aided Mol Des       Date:  2011-05-21       Impact factor: 3.686

  1 in total

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