EventsMOL2NET'15, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 1st ed.
Published
This submission belongs to the session 01. CHEMBIO.INFO-01: Cheminfo., Chemom., Comput. Quantum Chem. & Bioinfo. Congress, Cambridge, UK-Chapel Hill and Richmond, USA, 2015 of the event MOL2NET'15, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 1st ed.
Published date
04 Dec, 2015
Citation
Subhabrata Majumdar, Subhash C. Basak, Subhash C. Basak, Subhash C. Basak, Subhash C. Basak, Two QSAR Paradigms- Congenericity Principle versus Diversity Begets Diversity Principle- analyzed using computed mathematical chemodescriptors of homogeneous and diverse sets of chemical mutagens, in Proceedings of MOL2NET'15, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 1st ed., 5 December–15 December 2015, MDPI: Basel, Switzerland, doi: 10.3390/MOL2NET-1-b036
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Two QSAR Paradigms- Congenericity Principle versus Diversity Begets Diversity Principle- analyzed using computed mathematical chemodescriptors of homogeneous and diverse sets of chemical mutagens

Subhabrata Majumdar 1
1. School of Statistics University of Minnesota Twin Cities Minneapolis, MN 55414 USA
2. University of Minnesota Duluth-Natural Resources Research Institute & Department of Chemistry and Biochemistry, 5013 Miller Trunk Highway, Duluth, MN 55811, USA
3. University of Minnesota Duluth –Natural Resources Research Institute and Department of Chemistry and Biochemistry, 5013 Miller Trunk Highway, Duluth, MN 55811, USA
Abstract

The age old paradigm of quantitative structure-activity relationship (QSAR) is the congenericity principle which states that similar structures usually have similar properties.  But these days a lot of large and structurally diverse data sets of chemicals with the same experimental data (dependent variable) are available.  Starting with the same classes of descriptors we extracted the two subsets of the most significant predictors for the formulation of QSARs for two sets of chemicals:  A homogeneous set of 95 amine mutagens and a diverse set of 508 structurally diverse mutagens.  The predictors included calculated topostructural (TS), topochemical   (TC), geometrical, and quantum chemical (QC) indices. Whereas for the homogeneous amines, a small group of descriptors were sufficient for QSAR development, for the 508 diverse set we needed a large and diverse set of indices for effective QSAR formulation.  This empirical study thus vindicates the DIVERSITY BEGETS DIVERSITY paradigm of QSAR.

Keywords
Quantitative structure-activity relationship (QSAR)
Congenericity principle
Diversity begets diversity paradigm
Aromatic amine mutagens
Structurally diverse mutagens
Topostructural (TS) indices
Topochemical (TC) indices
Geometrical indices
Quantu
Manuscript
Poster
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