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Computational Design of Chemicals for the Control of Mosquitoes and Their Diseases

Computational Design of Chemicals for the Control of Mosquitoes and Their Diseases

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  • More about Computational Design of Chemicals for the Control of Mosquitoes and Their Diseases


The search for new substances effective against mosquitoes and their diseases has benefited from the use of in silico techniques such as QSAR modeling, homology modeling, pharmacophore modeling, fugacity modeling, and other modeling paradigms. These techniques help identify the key structural features and physicochemical properties explaining an activity and propose candidate molecules for further evaluation.

Format: Paperback / softback
Length: 484 pages
Publication date: 14 June 2022
Publisher: Taylor & Francis Ltd


The demand for innovative drugs and efficient treatments against mosquito-borne diseases is urgent and pressing. The development of environmentally safe yet effective insecticides is crucial to address the growing challenges of resistance. In this context, Computational Design of Chemicals for the Control of Mosquitoes and Their Diseases provides valuable insights into the utilization of in silico techniques in the search for new substances with efficacy against mosquitoes and their diseases.

QSAR modeling, a powerful tool, plays a pivotal role in identifying the key structural features and physicochemical properties that contribute to an activity. By employing this approach, researchers can propose candidate molecules for further evaluation through laboratory tests. Homology modeling, another useful technique, approximates the 3D structure of proteins of interest, aiding in our understanding of their molecular mechanisms and potential interactions.

Pharmacophore modeling is a powerful tool that enables the identification of the chemical features responsible for an activity. It facilitates the virtual screening of databases, identifying new potentially active compounds that can be developed into effective mosquito control agents. Fugacity modeling and other modeling paradigms are also valuable for risk assessment in vector-borne disease control.

In conclusion, the use of in silico techniques, including QSAR modeling, homology modeling, pharmacophore modeling, and fugacity modeling, has revolutionized the search for new drugs and treatments against mosquito-borne diseases. These approaches have helped researchers identify key structural features, physicochemical properties, and chemical features that contribute to mosquito activity, paving the way for the development of effective and sustainable mosquito control strategies.

Weight: 900g
Dimension: 234 x 156 (mm)
ISBN-13: 9781032339276

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