Literature DB >> 10850783

The E-state as the basis for molecular structure space definition and structure similarity

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Abstract

The electrotopological state (E-state) is presented as a representation of molecular structure useful for definition of a space for chemical structures. This E-state representation provides the basis for chemical database management. The E-state formalism is presented along with its extension to the atom-type E-state. An approach to database organization, using polychlorobiphenyls (PCBs) as examples, reveals the descriptive power of the E-state paradigm. A well-organized chemical database, as described here, may be searched to find structures similar to a target structure with the expectation that such structures may exhibit properties similar to the target. Searches using the atom-type E-state indices are demonstrated with two example drug molecules.

Entities:  

Year:  2000        PMID: 10850783     DOI: 10.1021/ci990140w

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


  16 in total

1.  Quantitative structure-activity relationship analysis of β-amyloid aggregation inhibitors.

Authors:  Shiri Stempler; Michal Levy-Sakin; Anat Frydman-Marom; Yaniv Amir; Roni Scherzer-Attali; Ludmila Buzhansky; Ehud Gazit; Hanoch Senderowitz
Journal:  J Comput Aided Mol Des       Date:  2010-12-17       Impact factor: 3.686

2.  Design of novel antituberculosis compounds using graph-theoretical and substructural approaches.

Authors:  Alejandro Speck Planche; Marcus Tulius Scotti; América García López; Vicente de Paulo Emerenciano; Enrique Molina Pérez; Eugenio Uriarte
Journal:  Mol Divers       Date:  2009-04-02       Impact factor: 2.943

3.  CE50: quantifying collision induced dissociation energy for small molecule characterization and identification.

Authors:  Tzipporah M Kertesz; Lowell H Hall; Dennis W Hill; David F Grant
Journal:  J Am Soc Mass Spectrom       Date:  2009-06-21       Impact factor: 3.109

4.  Quantifying structure and performance diversity for sets of small molecules comprising small-molecule screening collections.

Authors:  Paul A Clemons; J Anthony Wilson; Vlado Dančík; Sandrine Muller; Hyman A Carrinski; Bridget K Wagner; Angela N Koehler; Stuart L Schreiber
Journal:  Proc Natl Acad Sci U S A       Date:  2011-04-11       Impact factor: 11.205

5.  A probabilistic method to report predictions from a human liver microsomes stability QSAR model: a practical tool for drug discovery.

Authors:  Ignacio Aliagas; Alberto Gobbi; Timothy Heffron; Man-Ling Lee; Daniel F Ortwine; Mark Zak; S Cyrus Khojasteh
Journal:  J Comput Aided Mol Des       Date:  2015-02-24       Impact factor: 3.686

6.  Structural findings of cinnolines as anti-schizophrenic PDE10A inhibitors through comparative chemometric modeling.

Authors:  Chanchal Mondal; Amit Kumar Halder; Nilanjan Adhikari; Tarun Jha
Journal:  Mol Divers       Date:  2014-05-01       Impact factor: 2.943

7.  Predictive QSAR modelling of algal toxicity of ionic liquids and its interspecies correlation with Daphnia toxicity.

Authors:  Kunal Roy; Rudra Narayan Das; Paul L A Popelier
Journal:  Environ Sci Pollut Res Int       Date:  2014-11-21       Impact factor: 4.223

8.  Prediction of Drug Penetration in Tuberculosis Lesions.

Authors:  Jansy P Sarathy; Fabio Zuccotto; Ho Hsinpin; Lars Sandberg; Laura E Via; Gwendolyn A Marriner; Thierry Masquelin; Paul Wyatt; Peter Ray; Véronique Dartois
Journal:  ACS Infect Dis       Date:  2016-07-06       Impact factor: 5.084

9.  QSAR analysis of the inhibition of recombinant CYP 3A4 activity by structurally diverse compounds using a genetic algorithm-combined partial least squares method.

Authors:  Suchada Wanchana; Fumiyoshi Yamashita; Mitsuru Hashida
Journal:  Pharm Res       Date:  2003-09       Impact factor: 4.200

10.  A NON-LINEAR STRUCTURE-PROPERTY MODEL FOR OCTANOL-WATER PARTITION COEFFICIENT.

Authors:  Krishna M Yerramsetty; Brian J Neely; Khaled A M Gasem
Journal:  Fluid Phase Equilib       Date:  2012-07-09       Impact factor: 2.775

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