Literature DB >> 9888833

IcePick: a flexible surface-based system for molecular diversity.

J Mount1, J Ruppert, W Welch, A N Jain.   

Abstract

IcePick is a system for computationally selecting diverse sets of molecules. It computes the dissimilarity of the surface-accessible features of two molecules, taking into account conformational flexibility. Then, the intrinsic diversity of an entire set of molecules is calculated from a spanning tree over the pairwise dissimilarities. IcePick's dissimilarity measure is compared against traditional 2D topological approaches, and the spanning tree diversity measure is compared against commonly used variance techniques. The method has proven easy to implement and is fast enough to be used in selection of reactants for numerous production-sized combinatorial libraries.

Mesh:

Year:  1999        PMID: 9888833     DOI: 10.1021/jm970775r

Source DB:  PubMed          Journal:  J Med Chem        ISSN: 0022-2623            Impact factor:   7.446


  9 in total

1.  Morphological similarity: a 3D molecular similarity method correlated with protein-ligand recognition.

Authors:  A N Jain
Journal:  J Comput Aided Mol Des       Date:  2000-02       Impact factor: 3.686

2.  A reagent-based strategy for the design of large combinatorial libraries: a preliminary experimental validation.

Authors:  Gergely M Makara; Huw Nash; Zhongli Zheng; Jean-Paul A Orminati; Edward A Wintner
Journal:  Mol Divers       Date:  2003       Impact factor: 2.943

3.  Analysis of selection methodologies for combinatorial library design.

Authors:  Rosalia Pascual; José I Borrell; Jordi Teixidó
Journal:  Mol Divers       Date:  2003       Impact factor: 2.943

4.  The centroidal algorithm in molecular similarity and diversity calculations on confidential datasets.

Authors:  Sergey Trepalin; Nikolay Osadchiy
Journal:  J Comput Aided Mol Des       Date:  2005-12-06       Impact factor: 3.686

Review 5.  Molecular similarity and diversity in chemoinformatics: from theory to applications.

Authors:  Ana G Maldonado; J P Doucet; Michel Petitjean; Bo-Tao Fan
Journal:  Mol Divers       Date:  2006-02       Impact factor: 2.943

6.  Prediction of off-target drug effects through data fusion.

Authors:  Emmanuel R Yera; Ann E Cleves; Ajay N Jain
Journal:  Pac Symp Biocomput       Date:  2014

7.  Does your model weigh the same as a duck?

Authors:  Ajay N Jain; Ann E Cleves
Journal:  J Comput Aided Mol Des       Date:  2011-12-21       Impact factor: 3.686

8.  Electrostatic-field and surface-shape similarity for virtual screening and pose prediction.

Authors:  Ann E Cleves; Stephen R Johnson; Ajay N Jain
Journal:  J Comput Aided Mol Des       Date:  2019-10-24       Impact factor: 3.686

9.  Quantitative surface field analysis: learning causal models to predict ligand binding affinity and pose.

Authors:  Ann E Cleves; Ajay N Jain
Journal:  J Comput Aided Mol Des       Date:  2018-06-22       Impact factor: 3.686

  9 in total

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