Literature DB >> 16237516

Hierarchic system of QSAR models (1D-4D) on the base of simplex representation of molecular structure.

Victor E Kuz'min1, Anatoly G Artemenko, Pavel G Polischuk, Eugene N Muratov, Alexander I Hromov, Anatoly V Liahovskiy, Sergey A Andronati, Svetlana Yu Makan.   

Abstract

In this work, a hierarchic system of QSAR models from 1D to 4D is considered on the basis of the simplex representation of molecular structure (SiRMS). The essence of this system is that the QSAR problem is solved sequentially in a series of the improved models of the description of molecular structure. Thus, at each subsequent stage of a hierarchic system, the QSAR problem is not solved ab ovo, but rather the information obtained from the previous step is used. Actually, we deal with a system of solutions defined more exactly. In the SiRMS approach, a molecule is represented as a system of different simplex descriptors (tetratomic fragments with fixed composition, structure, chirality and symmetry). The level of simplex-descriptor detail increases consecutively from 1D to 4D representations of molecular structure. It enables us to determine the fragments of structure that promote or interfere with the given biological activity easily. Molecular design of compounds with a given level of activity is possible on the basis of SiRMS. The efficiency of the method is demonstrated for the example of the analysis of substituted piperazines affinity for the 5-HT1A receptor.

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Year:  2005        PMID: 16237516     DOI: 10.1007/s00894-005-0237-x

Source DB:  PubMed          Journal:  J Mol Model        ISSN: 0948-5023            Impact factor:   1.810


  3 in total

1.  The analysis of structure-anticancer and antiviral activity relationships for macrocyclic pyridinophanes and their analogues on the basis of 4D QSAR models (simplex representation of molecular structure).

Authors:  Victor E Kuz'min; Anatoly G Artemenko; Victor P Lozitsky; Eugene N Muratov; Alla S Fedtchouk; Natalia S Dyachenko; Lidiya N Nosach; Tatiyana L Gridina; Larisa I Shitikova; Liubov M Mudrik; Aleksey K Mescheriakov; Vladislav A Chelombitko; Andrey I Zheltvay; Jean-Jaques Vanden Eynde
Journal:  Acta Biochim Pol       Date:  2002       Impact factor: 2.149

2.  Comparative molecular field analysis (CoMFA). 1. Effect of shape on binding of steroids to carrier proteins.

Authors:  R D Cramer; D E Patterson; J D Bunce
Journal:  J Am Chem Soc       Date:  1988-08-01       Impact factor: 15.419

3.  The hypothetical active site lattice. An approach to modelling active sites from data on inhibitor molecules.

Authors:  A M Doweyko
Journal:  J Med Chem       Date:  1988-07       Impact factor: 7.446

  3 in total
  8 in total

1.  Hierarchical QSAR technology based on the Simplex representation of molecular structure.

Authors:  V E Kuz'min; A G Artemenko; E N Muratov
Journal:  J Comput Aided Mol Des       Date:  2008-02-06       Impact factor: 3.686

2.  The effects of characteristics of substituents on toxicity of the nitroaromatics: HiT QSAR study.

Authors:  Victor E Kuz'min; Eugene N Muratov; Anatoly G Artemenko; Leonid Gorb; Mohammad Qasim; Jerzy Leszczynski
Journal:  J Comput Aided Mol Des       Date:  2008-04-02       Impact factor: 3.686

3.  Structure-reactivity modeling using mixture-based representation of chemical reactions.

Authors:  Pavel Polishchuk; Timur Madzhidov; Timur Gimadiev; Andrey Bodrov; Ramil Nugmanov; Alexandre Varnek
Journal:  J Comput Aided Mol Des       Date:  2017-07-27       Impact factor: 3.686

4.  Computational Modeling of Mixture Toxicity.

Authors:  Mainak Chatterjee; Kunal Roy
Journal:  Methods Mol Biol       Date:  2022

5.  Classification of 5-HT(1A) receptor ligands on the basis of their binding affinities by using PSO-Adaboost-SVM.

Authors:  Zhengjun Cheng; Yuntao Zhang; Changhong Zhou; Wenjun Zhang; Shibo Gao
Journal:  Int J Mol Sci       Date:  2009-07-29       Impact factor: 6.208

6.  QSAR-Driven Discovery of Novel Chemical Scaffolds Active against Schistosoma mansoni.

Authors:  Cleber C Melo-Filho; Rafael F Dantas; Rodolpho C Braga; Bruno J Neves; Mario R Senger; Walter C G Valente; João M Rezende-Neto; Willian T Chaves; Eugene N Muratov; Ross A Paveley; Nicholas Furnham; Lee Kamentsky; Anne E Carpenter; Floriano P Silva-Junior; Carolina H Andrade
Journal:  J Chem Inf Model       Date:  2016-06-16       Impact factor: 4.956

Review 7.  Two Decades of 4D-QSAR: A Dying Art or Staging a Comeback?

Authors:  Andrzej Bak
Journal:  Int J Mol Sci       Date:  2021-05-14       Impact factor: 5.923

Review 8.  Nano-(Q)SAR for Cytotoxicity Prediction of Engineered Nanomaterials.

Authors:  Andrey A Buglak; Anatoly V Zherdev; Boris B Dzantiev
Journal:  Molecules       Date:  2019-12-11       Impact factor: 4.411

  8 in total

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