Anti-Parasitic Drug Discovery Against Babesia microti by Natural Compounds

dc.contributor.authorAkash, Shopnil
dc.contributor.authorHosen, Md. Eram
dc.contributor.authorMahmood, Sajjat
dc.contributor.authorSupti, Sumaiya Jahan
dc.contributor.authorKumer, Ajoy
dc.contributor.authorSultana, Shamima
dc.contributor.authorJannat, Sultana
dc.contributor.authorBayıl, Imren
dc.contributor.authorNafidi, Hiba-Allah
dc.contributor.authorJardan, Yousef A. Bin
dc.contributor.authorMekonnen, Amare Bitew
dc.contributor.authorBourhi, Mohammed
dc.date.accessioned2024-04-25T08:29:48Z
dc.date.available2024-04-25T08:29:48Z
dc.date.issued2023-08-16
dc.description.abstractTick-borne Babesiosis is a parasitic infection caused by Babesia microti that can infect both animals and humans and may spread by tick, blood transfusions, and organ transplantation. The current therapeutic options for B. microti are limited, and drug resistance is a concern. This study proposes using computational drug design approaches to find and design an effective drug against B. microti. The study investigated the potentiality of nine natural compounds against the pathogenic human B. microti parasite and identified Vasicinone and Evodiamine as the most promising drugs. The ligand structures were optimized using density functional theory, molecular docking, molecular dynamics simulations, quantum mechanics such as HOMO-LUMO, drug-likeness and theoretical absorption, distribution, metabolism, excretion, and toxicity (ADMET), and pharmacokinetics characteristics performed. The results showed that Vasicinone (-8.6 kcal/mol and -7.8 kcal/mol) and Evodiamine (-8.7 kcal/mol and -8.5 kcal/mol) had the highest binding energy and anti-parasitic activity against B. microti lactate dehydrogenase and B. microti lactate dehydrogenase apo form. The strongest binding energy was reported by Vasicinone and Evodiamine; the compounds were evaluated through molecular dynamics simulation at 100 ns, and their stability when they form complexes with the targeted receptors was determined. Finally, the pkCSM web server is employed to predict the ADMET qualities of specific molecules, which can help prevent negative effects that arise from taking the treatment. The SwissADME web server is used to assess the Lipinski rule of five and drug-likeness properties including topological polar surface area and bioavailability. The Lipinski rule is used to estimate significant drug-likeness. The theoretical pharmacokinetics analysis and drug-likeness of the selected compounds are confirmed to be accepted by the Lipinski rule and have better ADMET features. Thus, to confirm their experimental value, these mentioned molecules should be suggested to carry out in wet lab, pre-clinical, and clinical levels.
dc.identifier.otherhttp://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/12157
dc.identifier.urihttp://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/12157
dc.language.isoen_US
dc.publisherEurope Pub Med Central
dc.sourceDIU Institutional Repository
dc.subjectOrgan transplantation
dc.subjectDynamics simulation
dc.subjectFluid dynamics
dc.titleAnti-Parasitic Drug Discovery Against Babesia microti by Natural Compounds
dc.title.alternativeAn Extensive Computational Drug Design Approach
dc.typeArticle

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