Document Detail


Advances in the molecular modeling and quantitative structure-activity relationship-based design for antihistamines.
MedLine Citation:
PMID:  23289365     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
INTRODUCTION: Nowadays the use of antihistamines (AH) is increasing steadily. These drugs are able to act on a variety of pathological conditions of the organism. A number of computer-aided (in silico) approaches have been developed to discover and develop novel AH drugs. Among these methods stand the ones based on drug-receptor docking, thermodynamics, as well as the quantitative structure-activity relationships (QSAR).
AREAS COVERED: This review collates the most recent advances in the use of computer approaches for the search and characterization of novel AH drugs. Within the QSAR methods, particular attention will be paid to those based on molecular topology (MT) because of their demonstrated efficacy in discovering new drugs. Collateral topics will also be dealt with including: docking studies, thermodynamic aspects, molecular modeling and so on. These issues will be treated to the extent that they have interest as complementary to QSAR-MT.
EXPERT OPINION: Given the importance of the use of AHs, the search for new drugs in this field has become imperative today. In this regard, the use of QSAR methods based on MT, namely QSAR-MT, has proven to be a powerful tool when the goal is discovering new hit or lead structures. It has been shown that antihistaminic activity is complex and different for the four known types of receptors (H1 to H4) and that electronic, steric and physicochemical issues determine drug activity. These factors, along with the purely structural ones, can be deduced from topological and topochemical information.
Authors:
Jorge Galvez; Maria Galvez-Llompart; Riccardo Zanni; Ramon Garcia-Domenech
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't; Review     Date:  2013-01-06
Journal Detail:
Title:  Expert opinion on drug discovery     Volume:  8     ISSN:  1746-045X     ISO Abbreviation:  Expert Opin Drug Discov     Publication Date:  2013 Mar 
Date Detail:
Created Date:  2013-02-22     Completed Date:  2013-08-06     Revised Date:  2013-11-06    
Medline Journal Info:
Nlm Unique ID:  101295755     Medline TA:  Expert Opin Drug Discov     Country:  England    
Other Details:
Languages:  eng     Pagination:  305-17     Citation Subset:  IM    
Affiliation:
University of Valencia, Physical Chemistry, Burjasot, Spain. jorge.galvez@uv.es
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MeSH Terms
Descriptor/Qualifier:
Animals
Computer-Aided Design
Drug Design*
Histamine Antagonists / chemistry*
Humans
Models, Molecular*
Quantitative Structure-Activity Relationship
Chemical
Reg. No./Substance:
0/Histamine Antagonists

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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