Literature DB >> 10522243

DISSIM: a program for the analysis of chemical diversity.

D R Flower1.   

Abstract

As interest in database searching and compound selection has grown, there has been a concomitant growth in interest in the quantification of chemical similarity. Described here is a computer program called DISSIM, which addresses the problem of selecting diverse subsets from larger collections of chemical compounds. It is a pragmatic solution combining a maximum dissimilarity search algorithm and a general multidimensional measure of chemical similarity based on the combination of different molecular descriptors. The problem of correlation between descriptors is addressed and appropriate schemes for weighting and normalisation are described. The specific application of these techniques to the comparative analysis of topological indices and their use in the area of chemical diversity analysis and compound selection are also described.

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Year:  1998        PMID: 10522243     DOI: 10.1016/s1093-3263(98)80008-9

Source DB:  PubMed          Journal:  J Mol Graph Model        ISSN: 1093-3263            Impact factor:   2.518


  7 in total

Review 1.  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

2.  Exploring a structural protein-drug interactome for new therapeutics in lung cancer.

Authors:  Xiaodong Peng; Fang Wang; Liwei Li; Khuchtumur Bum-Erdene; David Xu; Bo Wang; Anthony A Sinn; Karen E Pollok; George E Sandusky; Lang Li; John J Turchi; Shadia I Jalal; Samy O Meroueh
Journal:  Mol Biosyst       Date:  2014-01-09

3.  Mycobacterium tuberculosis peptides presented by HLA-E molecules are targets for human CD8 T-cells with cytotoxic as well as regulatory activity.

Authors:  Simone A Joosten; Krista E van Meijgaarden; Pascale C van Weeren; Fatima Kazi; Annemieke Geluk; Nigel D L Savage; Jan W Drijfhout; Darren R Flower; Willem A Hanekom; Michèl R Klein; Tom H M Ottenhoff
Journal:  PLoS Pathog       Date:  2010-02-26       Impact factor: 6.823

4.  In silico identified CCR4 antagonists target regulatory T cells and exert adjuvant activity in vaccination.

Authors:  Jagadeesh Bayry; Elma Z Tchilian; Matthew N Davies; Emily K Forbes; Simon J Draper; Srini V Kaveri; Adrian V S Hill; Michel D Kazatchkine; Peter C L Beverley; Darren R Flower; David F Tough
Journal:  Proc Natl Acad Sci U S A       Date:  2008-07-11       Impact factor: 11.205

5.  The open access malaria box: a drug discovery catalyst for neglected diseases.

Authors:  Thomas Spangenberg; Jeremy N Burrows; Paul Kowalczyk; Simon McDonald; Timothy N C Wells; Paul Willis
Journal:  PLoS One       Date:  2013-06-17       Impact factor: 3.240

6.  Toward the discovery of vaccine adjuvants: coupling in silico screening and in vitro analysis of antagonist binding to human and mouse CCR4 receptors.

Authors:  Matthew N Davies; Jagadeesh Bayry; Elma Z Tchilian; Janakiraman Vani; Melkote S Shaila; Emily K Forbes; Simon J Draper; Peter C L Beverley; David F Tough; Darren R Flower
Journal:  PLoS One       Date:  2009-11-30       Impact factor: 3.240

7.  Integrating in silico and in vitro analysis of peptide binding affinity to HLA-Cw*0102: a bioinformatic approach to the prediction of new epitopes.

Authors:  Valerie A Walshe; Channa K Hattotuwagama; Irini A Doytchinova; Mailee Wong; Isabel K Macdonald; Arend Mulder; Frans H J Claas; Pierre Pellegrino; Jo Turner; Ian Williams; Emma L Turnbull; Persephone Borrow; Darren R Flower
Journal:  PLoS One       Date:  2009-11-30       Impact factor: 3.240

  7 in total

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