ArticleJournal of molecular modeling2015
Homology modeling and molecular dynamics simulation of N-myristoyltransferase from Plasmodium falciparum: an insight into novel antimalarial drug design.
Article in Journal of molecular modeling, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed, 9 citations in OpenAlex.
- Virtual screening to identify Leishmania braziliensis N-myristoyltransferase inhibitors: pharmacophore models, docking, and molecular dynamics.Journal of molecular modeling · 2018Article
- Article
- Computationally unraveling how ceritinib overcomes drug-resistance mutations in ALK-rearranged lung cancer.Journal of molecular modeling · 2015Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Malaria is an infectious disease caused by parasites of the genus Plasmodium. It leads to approximately 1 million deaths per annum worldwide, with an increase number of 6.27 million deaths in 2012 alone. Validation of new antimalarial targets is very important in the context of the rise in resistance to current drugs. One such putative target is the enzyme N-myristoyltransferase (NMT), which catalyzes the attachment of the fatty acid myristate to protein substrates (N-myristoylation) for activation. Reports suggests that NMT is an essential and chemically docile target in malaria parasites both in vitro and in vivo, and the selective inhibition of N-myristoylation leads to irreversible failure to form an inner membrane complex—an essential subcellular organelle in the parasite life cycle. In this work, we modeled the three-dimensional structure of Plasmodium falciparum NMT (PfNMT) using Modeler 9.0 taking Plasmodium vivax NMT (PvNMT) as the template. The novelty of the work lies in the selection of template as the similarity of PfNMT with PvNMT was 80.47%, whereas earlier similar work showed template similarity with Candida albicans NMT (CaNMT) and Saccharomyces cerevisiae NMT (ScNMT) to be less than 50%. The generated structure was then validated using various programs such as PROCHECK, RAMPAGE server, CHIMERA and the stability of the model was checked by Gromacs 5.0.
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