Abstract
Among the various parasitic diseases, malaria is the deadliest one. Due to the emergence of high drug resistance to the existing drug candidates there is a global need for development of new drug candidates which will be effective against resistant strains of malaria parasite. In silico molecular modeling approaches have been playing an important role in the discovery of novel lead molecules having antimalarial activity. Present review is an effort to cover all the developments related to the application of computational techniques for the design and discovery of novel antimalarial compounds since the year 2011 onwards.
Keywords: Antimalarial agents, drug resistance, docking, homology model, malaria, pharmacophore, QSAR, virtual screening.
Combinatorial Chemistry & High Throughput Screening
Title:Discovery of Anti-Malarial Agents Through Application of In Silico Studies
Volume: 18 Issue: 2
Author(s): Mahesh A. Barmade, Prashant R. Murumkar, Mayank Kumar Sharma, Kaushik P. Shingala, Rajani R. Giridhar and Mange Ram Yadav
Affiliation:
Keywords: Antimalarial agents, drug resistance, docking, homology model, malaria, pharmacophore, QSAR, virtual screening.
Abstract: Among the various parasitic diseases, malaria is the deadliest one. Due to the emergence of high drug resistance to the existing drug candidates there is a global need for development of new drug candidates which will be effective against resistant strains of malaria parasite. In silico molecular modeling approaches have been playing an important role in the discovery of novel lead molecules having antimalarial activity. Present review is an effort to cover all the developments related to the application of computational techniques for the design and discovery of novel antimalarial compounds since the year 2011 onwards.
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Cite this article as:
Barmade A. Mahesh, Murumkar R. Prashant, Sharma Kumar Mayank, Shingala P. Kaushik, Giridhar R. Rajani and Yadav Ram Mange, Discovery of Anti-Malarial Agents Through Application of In Silico Studies, Combinatorial Chemistry & High Throughput Screening 2015; 18 (2) . https://dx.doi.org/10.2174/1386207318666141229125852
DOI https://dx.doi.org/10.2174/1386207318666141229125852 |
Print ISSN 1386-2073 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5402 |
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