Document Detail

Fourth generation detour matrix-based topological indices for QSAR/QSPR - Part-1: development and evaluation.
MedLine Citation:
PMID:  23013658     Owner:  NLM     Status:  In-Data-Review    
In the present study, four detour matrix-based Topological Indices (TIs) termed as augmented path eccentric connectivity indices 1-4 (denoted by (AP)ξ(1)(C), (AP)ξ(2)(C), (AP)ξ(3)(C) and (AP)ξ(4)(C)) as well as their topochemical versions (denoted by (AP)ξ(1c)(C), (AP)ξ(2c)(C), (AP)ξ(3c)(C) and (AP)ξ(4c)(C)) have been conceptualised. A modified detour matrix termed as chemical detour matrix (Δ(c)) has also been proposed so as to facilitate computation of index values of topochemical versions of the said TIs. Values of the proposed TIs were computed for all the possible structures containing three, four and five vertices using an in-house computer program. The said TIs exhibited exceptionally high discriminating power and high sensitivity towards branching/relative position of substituent(s) in cyclic structures amalgamated with negligible degeneracy. Due care was taken during the development of TIs so as to ensure that reduction in index values of complex chemical structures to be within reasonable limits without compromising discriminating power. The mathematical properties of one of the proposed TIs have also been studied. With exceptionally high discriminating power, high sensitivity towards branching as well as relative position(s) of substituents in cyclic structures and negligible degeneracy, the proposed indices offer a vast potential for use in characterisation of structures, similarity/dissimilarity studies, lead identification and optimisation, combinatorial library design and quantitative structure-activity/property/toxicity/pharmacokinetic relationship studies.
Rakesh Kumar Marwaha; Harish Jangra; Kinkar C Das; P V Bharatam; A K Madan
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Publication Detail:
Type:  Journal Article     Date:  2012-09-24
Journal Detail:
Title:  International journal of computational biology and drug design     Volume:  5     ISSN:  1756-0756     ISO Abbreviation:  Int J Comput Biol Drug Des     Publication Date:  2012  
Date Detail:
Created Date:  2012-09-27     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101479540     Medline TA:  Int J Comput Biol Drug Des     Country:  England    
Other Details:
Languages:  eng     Pagination:  335-60     Citation Subset:  IM    
Faculty of Pharmaceutical Sciences, M.D. University, Rohtak 124-001, India.
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