Literature DB >> 16213737

QSAR study on para-substituted aromatic sulfonamides as carbonic anhydrase II inhibitors using topological information indices.

Georgia Melagraki1, Antreas Afantitis, Haralambos Sarimveis, Olga Igglessi-Markopoulou, Claudiu T Supuran.   

Abstract

A linear quantitative structure-activity relationship has been developed for a series of para-substituted aromatic sulfonamides by using topological index methodologies. The compounds were studied for their carbonic anhydrase II (CAII) inhibitory activity. A large series of topological indices were calculated and the stepwise regression method was used to derive the most significant model. Very good results were obtained using multi-parametric regressions and showed that the information approach used in the present work is quite useful for modeling carbonic anhydrase inhibition.

Entities:  

Mesh:

Substances:

Year:  2005        PMID: 16213737     DOI: 10.1016/j.bmc.2005.09.038

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


  8 in total

1.  A novel RBF neural network training methodology to predict toxicity to Vibrio fischeri.

Authors:  Georgia Melagraki; Antreas Afantitis; Haralambos Sarimveis; Olga Igglessi-Markopoulou; Alex Alexandridis
Journal:  Mol Divers       Date:  2006-06-27       Impact factor: 2.943

2.  Investigation of substituent effect of 1-(3,3-diphenylpropyl)-piperidinyl phenylacetamides on CCR5 binding affinity using QSAR and virtual screening techniques.

Authors:  Antreas Afantitis; Georgia Melagraki; Haralambos Sarimveis; Panayiotis A Koutentis; John Markopoulos; Olga Igglessi-Markopoulou
Journal:  J Comput Aided Mol Des       Date:  2006-05-09       Impact factor: 3.686

3.  Predictive QSAR workflow for the in silico identification and screening of novel HDAC inhibitors.

Authors:  Georgia Melagraki; Antreas Afantitis; Haralambos Sarimveis; Panayiotis A Koutentis; George Kollias; Olga Igglessi-Markopoulou
Journal:  Mol Divers       Date:  2009-02-10       Impact factor: 2.943

4.  Design and Validation of FRESH, a Drug Discovery Paradigm Resting on Robust Chemical Synthesis.

Authors:  Qi Shi; Thomas M Kaiser; Zackery W Dentmon; Mariangela Ceruso; Daniela Vullo; Claudiu T Supuran; James P Snyder
Journal:  ACS Med Chem Lett       Date:  2015-04-03       Impact factor: 4.345

5.  A novel QSPR model for predicting θ (lower critical solution temperature) in polymer solutions using molecular descriptors.

Authors:  Georgia Melagraki; Antreas Afantitis; Haralambos Sarimveis; Panayiotis A Koutentis; John Markopoulos; Olga Igglessi-Markopoulou
Journal:  J Mol Model       Date:  2007       Impact factor: 1.810

6.  Inside of the Linear Relation between Dependent and Independent Variables.

Authors:  Lorentz Jäntschi; Lavinia L Pruteanu; Alina C Cozma; Sorana D Bolboacă
Journal:  Comput Math Methods Med       Date:  2015-05-25       Impact factor: 2.238

7.  Modeling and prediction of cytotoxicity of artemisinin for treatment of the breast cancer by using artificial neural networks.

Authors:  Abdolhossein Qaderi; Neda Dadgar; Hamidreza Mansouri; Seyed Ebrahim Alavi; Maedeh Koohi Moftakhari Esfahani; Azim Akbarzadeh
Journal:  Springerplus       Date:  2013-07-24

8.  Some QSAR studies for a group of sulfonamide Schiff base as carbonic anhydrase CA II inhibitors.

Authors:  Erol Eroglu
Journal:  Int J Mol Sci       Date:  2008-02-26       Impact factor: 6.208

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.