Literature DB >> 10850771

Molecular field Topology analysis method in QSAR studies of organic compounds

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Abstract

A new method of QSAR analysis for organic compounds, molecular field topology analysis (MFTA), is considered that involves the topological superposition of the training set structures and the construction of a molecular supergraph (MSG). This enables the creation of the uniform descriptor vectors based on the local physicochemical parameters (atom and bond properties) of the molecules. The application of this technique is illustrated by a number of examples, and its features are discussed. The MFTA is especially suitable for solving the problems where the analysis of three-dimensional structure is either unnecessary or complicated.

Entities:  

Year:  2000        PMID: 10850771     DOI: 10.1021/ci980114i

Source DB:  PubMed          Journal:  J Chem Inf Comput Sci        ISSN: 0095-2338


  13 in total

1.  GALAHAD: 1. pharmacophore identification by hypermolecular alignment of ligands in 3D.

Authors:  Nicola J Richmond; Charlene A Abrams; Philippa R N Wolohan; Edmond Abrahamian; Peter Willett; Robert D Clark
Journal:  J Comput Aided Mol Des       Date:  2006-10-19       Impact factor: 3.686

2.  Computer-aided modeling of activity and selectivity of quinazolinones as noncompetitive NMDA receptor antagonists.

Authors:  E V Radchenko; D S Karlov; V A Palyulin; N S Zefirov; V M Pentkovski
Journal:  Dokl Biochem Biophys       Date:  2012-05-05       Impact factor: 0.788

3.  Molecular design of O-phosphorylated oximes--selective inhibitors of butyrylcholinesterase.

Authors:  E V Radchenko; A A Mel'nikov; G F Makhaeva; V A Palyulin; N S Zefirov
Journal:  Dokl Biochem Biophys       Date:  2012-05-05       Impact factor: 0.788

4.  Study of the structural determinants of acute and delayed neurotoxicity of O-phosphorylated oximes by molecular field topology analysis (MFTA).

Authors:  E V Radchenko; G F Makhaeva; V B Sokolov; V A Palyulin; N S Zefirov
Journal:  Dokl Biochem Biophys       Date:  2009 Nov-Dec       Impact factor: 0.788

5.  Modeling of the relationships between the structure of O-phosphorylated oximes and their anticholinesterase activity and selectivity using molecular field topology analysis (MFTA).

Authors:  E V Radchenko; G F Makhaeva; V V Malygin; V B Sokolov; V A Palyulin; N S Zefirov
Journal:  Dokl Biochem Biophys       Date:  2008 Jan-Feb       Impact factor: 0.788

6.  Molecular design of selective ligands of chemokine receptors.

Authors:  M N Kurilo; F V Ryzhkov; P V Karpov; E V Radchenko; V A Palyulin; N S Zefirov
Journal:  Dokl Biochem Biophys       Date:  2015-05-05       Impact factor: 0.788

7.  Hybrid-genetic algorithm based descriptor optimization and QSAR models for predicting the biological activity of Tipranavir analogs for HIV protease inhibition.

Authors:  A Srinivas Reddy; Sunil Kumar; Rajni Garg
Journal:  J Mol Graph Model       Date:  2010-03-24       Impact factor: 2.518

8.  Modeling the excitation wavelengths (lambda(ex)) of boronic acids.

Authors:  Minyong Li; Nanting Ni; Binghe Wang; Yanqing Zhang
Journal:  J Mol Model       Date:  2008-03-20       Impact factor: 1.810

9.  Potent non-nucleoside inhibitors of the measles virus RNA-dependent RNA polymerase complex.

Authors:  Aiming Sun; Jeong-Joong Yoon; Yan Yin; Andrew Prussia; Yutao Yang; Jaeki Min; Richard K Plemper; James P Snyder
Journal:  J Med Chem       Date:  2008-06-05       Impact factor: 7.446

10.  Ligand intramolecular motions in ligand-protein interaction: ALPHA, a novel dynamic descriptor and a QSAR study with extended steroid benchmark dataset.

Authors:  Kari Tuppurainen; Marja Viisas; Mikael Peräkylä; Reino Laatikainen
Journal:  J Comput Aided Mol Des       Date:  2004-03       Impact factor: 3.686

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