Probing the chemical interaction space governed by 4-amino-substituted benzenesulfonamides and carbonic anhydrase isoforms

Isoform diversity, critical physiological roles and involvement in major diseases/disorders such as glaucoma, epilepsy, Alzheimer's disease, obesity, and cancers have made carbonic anhydrase (CA), one of the most interesting case studies in the field of computer aided drug design. Since applyin...

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Main Authors: Behnam Rasti, Yeganeh Entezari Heravi
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2018-01-01
Series:Research in Pharmaceutical Sciences
Subjects:
Online Access:http://www.rpsjournal.net/article.asp?issn=1735-5362;year=2018;volume=13;issue=3;spage=192;epage=204;aulast=Rasti
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spelling doaj-2e6173bb39a042f58e04f8261a43b3122021-07-07T14:29:11ZengWolters Kluwer Medknow PublicationsResearch in Pharmaceutical Sciences1735-53621735-94142018-01-0113319220410.4103/1735-5362.228940Probing the chemical interaction space governed by 4-amino-substituted benzenesulfonamides and carbonic anhydrase isoformsBehnam RastiYeganeh Entezari HeraviIsoform diversity, critical physiological roles and involvement in major diseases/disorders such as glaucoma, epilepsy, Alzheimer's disease, obesity, and cancers have made carbonic anhydrase (CA), one of the most interesting case studies in the field of computer aided drug design. Since applying non-selective inhibitors can result in major side effects, there have been considerable efforts so far to achieve selective inhibitors for different isoforms of CA. Using proteochemometrics approach, the chemical interaction space governed by a group of 4-amino-substituted benzenesulfonamides and human CAs has been explored in the present study. Several validation methods have been utilized to assess the validity, robustness and predictivity power of the proposed proteochemometric model. Our model has offered major structural information that can be applied to design new selective inhibitors for distinct isoforms of CA. To prove the applicability of the proposed model, new compounds have been designed based on the offered discriminative structural features.http://www.rpsjournal.net/article.asp?issn=1735-5362;year=2018;volume=13;issue=3;spage=192;epage=204;aulast=Rasticarbonic anhydrases; proteochemometrics; selectivity; grinds; z-scales
collection DOAJ
language English
format Article
sources DOAJ
author Behnam Rasti
Yeganeh Entezari Heravi
spellingShingle Behnam Rasti
Yeganeh Entezari Heravi
Probing the chemical interaction space governed by 4-amino-substituted benzenesulfonamides and carbonic anhydrase isoforms
Research in Pharmaceutical Sciences
carbonic anhydrases; proteochemometrics; selectivity; grinds; z-scales
author_facet Behnam Rasti
Yeganeh Entezari Heravi
author_sort Behnam Rasti
title Probing the chemical interaction space governed by 4-amino-substituted benzenesulfonamides and carbonic anhydrase isoforms
title_short Probing the chemical interaction space governed by 4-amino-substituted benzenesulfonamides and carbonic anhydrase isoforms
title_full Probing the chemical interaction space governed by 4-amino-substituted benzenesulfonamides and carbonic anhydrase isoforms
title_fullStr Probing the chemical interaction space governed by 4-amino-substituted benzenesulfonamides and carbonic anhydrase isoforms
title_full_unstemmed Probing the chemical interaction space governed by 4-amino-substituted benzenesulfonamides and carbonic anhydrase isoforms
title_sort probing the chemical interaction space governed by 4-amino-substituted benzenesulfonamides and carbonic anhydrase isoforms
publisher Wolters Kluwer Medknow Publications
series Research in Pharmaceutical Sciences
issn 1735-5362
1735-9414
publishDate 2018-01-01
description Isoform diversity, critical physiological roles and involvement in major diseases/disorders such as glaucoma, epilepsy, Alzheimer's disease, obesity, and cancers have made carbonic anhydrase (CA), one of the most interesting case studies in the field of computer aided drug design. Since applying non-selective inhibitors can result in major side effects, there have been considerable efforts so far to achieve selective inhibitors for different isoforms of CA. Using proteochemometrics approach, the chemical interaction space governed by a group of 4-amino-substituted benzenesulfonamides and human CAs has been explored in the present study. Several validation methods have been utilized to assess the validity, robustness and predictivity power of the proposed proteochemometric model. Our model has offered major structural information that can be applied to design new selective inhibitors for distinct isoforms of CA. To prove the applicability of the proposed model, new compounds have been designed based on the offered discriminative structural features.
topic carbonic anhydrases; proteochemometrics; selectivity; grinds; z-scales
url http://www.rpsjournal.net/article.asp?issn=1735-5362;year=2018;volume=13;issue=3;spage=192;epage=204;aulast=Rasti
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