Literature DB >> 11131167

In silico studies for the rational discovery of anticonvulsant compounds.

E Estrada1, A Peña.   

Abstract

Theoretical models to virtual screening and rational design of anticonvulsant compounds based on a topological substructural molecular design (TOSS-MODE) approach are developed. These models, developed on the basis of data sets of great structural variability, permit the classification of compounds as active/inactive anticonvulsants and predict the quantitative anticonvulsant potency of such compounds. The classification model is applied to a virtual screening of anticonvulsant compounds by analyzing a data set of molecules reported in the literature. More than 88% of them were well classified by the current model. Active and inactive fragments are identified by using the present approach. Some of the active fragments are identified in anticonvulsant molecules as potential pharmacophores and one of them is analyzed in detail. The three-dimensional (3-D) features of this fragment are investigated in a series of five anticonvulsant compounds. Some structure-anticonvulsant activity relationships are derived on the basis of the 3-D structure of this fragment and some findings reported in the literature that indicate that it is an important pharamacophore are outlined.

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Year:  2000        PMID: 11131167     DOI: 10.1016/s0968-0896(00)00204-2

Source DB:  PubMed          Journal:  Bioorg Med Chem        ISSN: 0968-0896            Impact factor:   3.641


  12 in total

1.  TOPS-MODE versus DRAGON descriptors to predict permeability coefficients through low-density polyethylene.

Authors:  Maykel Pérez González; Aliuska Morales Helguera
Journal:  J Comput Aided Mol Des       Date:  2003-10       Impact factor: 3.686

2.  Creating molecular diversity from antioxidants in Brazilian propolis. Combination of TOPS-MODE QSAR and virtual structure generation.

Authors:  Ernesto Estrada; Jose A Quincoces; Grace Patlewicz
Journal:  Mol Divers       Date:  2004       Impact factor: 2.943

3.  In silico design of multi-target inhibitors for C-C chemokine receptors using substructural descriptors.

Authors:  Alejandro Speck-Planche; Valeria V Kleandrova
Journal:  Mol Divers       Date:  2011-10-22       Impact factor: 2.943

4.  Novel coumarin-based tyrosinase inhibitors discovered by OECD principles-validated QSAR approach from an enlarged, balanced database.

Authors:  Huong Le-Thi-Thu; Gerardo M Casañola-Martín; Yovani Marrero-Ponce; Antonio Rescigno; Luciano Saso; Virinder S Parmar; Francisco Torrens; Concepción Abad
Journal:  Mol Divers       Date:  2010-09-03       Impact factor: 2.943

5.  Non-stochastic and stochastic linear indices of the molecular pseudograph's atom-adjacency matrix: a novel approach for computational in silico screening and "rational" selection of new lead antibacterial agents.

Authors:  Yovani Marrero-Ponce; Ricardo Medina Marrero; Francisco Torrens; Yamile Martinez; Milagros García Bernal; Vicente Romero Zaldivar; Eduardo A Castro; Ricardo Grau Abalo
Journal:  J Mol Model       Date:  2005-11-04       Impact factor: 1.810

6.  TOMOCOMD-CARDD, a novel approach for computer-aided 'rational' drug design: I. Theoretical and experimental assessment of a promising method for computational screening and in silico design of new anthelmintic compounds.

Authors:  Yovani Marrero-Ponce; Juan A Castillo-Garit; Ervelio Olazabal; Hector S Serrano; Alcidez Morales; Nilo Castañedo; Froylán Ibarra-Velarde; Alma Huesca-Guillen; Elisa Jorge; Arletys del Valle; Francisco Torrens; Eduardo A Castro
Journal:  J Comput Aided Mol Des       Date:  2004-10       Impact factor: 3.686

7.  Bond-based 2D TOMOCOMD-CARDD approach for drug discovery: aiding decision-making in 'in silico' selection of new lead tyrosinase inhibitors.

Authors:  Yovani Marrero-Ponce; Mahmud Tareq Hassan Khan; Gerardo M Casañola-Martín; Arjumand Ather; Mukhlis N Sultankhodzhaev; Ramón García-Domenech; Francisco Torrens; Richard Rotondo
Journal:  J Comput Aided Mol Des       Date:  2007-02-28       Impact factor: 3.686

Review 8.  Protein quadratic indices of the "macromolecular pseudograph's alpha-carbon atom adjacency matrix". 1. Prediction of Arc repressor alanine-mutant's stability.

Authors:  Yovani Marrero Ponce; Ricardo Medina Marrero; Eduardo A Castro; Ronal Ramos de Armas; Humberto González Díaz; Vicente Romero Zaldivar; Francisco Torrens
Journal:  Molecules       Date:  2004-12-31       Impact factor: 4.411

9.  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

10.  QSAR model toward the rational design of new agrochemical fungicides with a defined resistance risk using substructural descriptors.

Authors:  Alejandro Speck-Planche; Valeria V Kleandrova; Julio A Rojas-Vargas
Journal:  Mol Divers       Date:  2011-06-02       Impact factor: 2.943

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