Evidence map›Paper›PMID 26969677›Full record

ArticleJournal of molecular modeling2016

Modeling of babesipain-1 and identification of natural and synthetic leads for bovine babesiosis drug development.

Potshangbam Angamba Meetei, R S Rathore, N Prakash Prabhu, Vaibhav Vindal

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Article in Journal of molecular modeling, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

What it found

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Potshangbam Angamba MeeteiDepartment of Biotechnology and Bioinformatics, University of Hyderabad, Hyderabad, 500046, India.
R S RathoreBioinformatics Infrastructure Facility, School of Life sciences, University of Hyderabad, Hyderabad, 500046, India.
N Prakash PrabhuDepartment of Biotechnology and Bioinformatics, University of Hyderabad, Hyderabad, 500046, India.
Vaibhav VindalDepartment of Biotechnology and Bioinformatics, University of Hyderabad, Hyderabad, 500046, India. vvls@uohyd.ernet.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Babesiosis is a tick-borne, zoonotic disease caused by species of the intraerythrocytic protozoan Babesia. It is distributed all around the world and affects various domestic and wild animals, mainly cattle. Recently, the cysteine protease enzyme, babesipain-1 from Babesia bigemina has been identified as a potential target for designing new anti-babesiosis drugs. In the present study, a three-dimensional structural model of babesipain-1 was developed. An active site with three pockets (S1, S2, and S3), which is congruent with its homolog, falcipain-3, was also identified. Moreover, the conservation of active site residues was consistent with the cysteine protease family. In order to identify potential inhibitors, a virtual screening workflow was employed with a chemical library containing natural and synthetic compounds. Potential inhibitors interacting with all the three subsites were identified. Further, molecular dynamic simulations were carried out to assess the interactions and stability of the inhibitors. The informatics approach, and the findings presented in this study will assist researchers in further development of potential anti-babesiosis molecules.

Indexed as

Molecular Docking SimulationAmino Acid SequenceAntiprotozoal AgentsBabesiaCatalytic DomainConserved SequenceCysteine EndopeptidasesCysteine ProteasesCysteine Proteinase InhibitorsDrug DiscoveryHigh-Throughput Screening AssaysMolecular Dynamics SimulationProtein Structure, QuaternaryProtein Structure, SecondaryProtozoan ProteinsSequence AlignmentAntiprotozoal AgentsCysteine EndopeptidasesCysteine ProteasesCysteine Proteinase Inhibitorsfalcipain 3Protozoan ProteinsSmall Molecule LibrariesBabesipain-1Homology modelingMolecular dockingMolecular dynamics simulationVirtual screening

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.