Basak SC, Bhattacharjee AK. Computational Approaches for the Design of Mosquito Repellent Chemicals.
Curr Med Chem 2018;
27:32-41. [PMID:
30378480 DOI:
10.2174/0929867325666181029165413]
[Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2016] [Revised: 01/11/2018] [Accepted: 02/23/2018] [Indexed: 11/22/2022]
Abstract
BACKGROUND
In view of many current mosquito-borne diseases there is a need for the design of novel repellents.
OBJECTIVE
The objective of this article is to review the results of the researches carried out by the authors in the computer-assisted design of novel mosquito repellents.
METHODS
Two methods in the computational design of repellents have been discussed: a) Quantitative Structure Activity Relationship (QSAR) studies from a set of repellents structurally related to DEET using computed mathematical descriptors, and b) Pharmacophore based modeling for design and discovery of novel repellent compounds including virtual screening of compound databases and synthesis of novel analogues.
RESULTS
Effective QSARs could be developed using mathematical structural descriptors. The pharmacophore based method is an effective tool for the discovery of new repellent molecules.
CONCLUSION
Results reviewed in this article show that both QSAR and pharmacophore based methods can be used to design novel repellent molecules.
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