Evidence map›Paper›PMID 35789974›Full record

ArticleMolecular diversity2023

MD simulation-based screening approach identified tolvaptan as a potential inhibitor of Eg5.

Jomon Sebastian, Darpan Raghav, Krishnan Rathinasamy

Abstract read
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In one paragraph

Article in Molecular diversity, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 48% of its field
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Jomon SebastianSchool of Biotechnology, National Institute of Technology Calicut, Calicut, Kerala, 673601, India.
Darpan RaghavSchool of Biotechnology, National Institute of Technology Calicut, Calicut, Kerala, 673601, India.
Krishnan RathinasamySchool of Biotechnology, National Institute of Technology Calicut, Calicut, Kerala, 673601, India. rathin@nitc.ac.in.ORCID http://orcid.org/0000-0001-9685-135X
National Institute of Technology Calicut · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We discovered tolvaptan as a new Eg5 inhibitor using molecular dynamics simulation-based virtual screening. The Eg5-monastrol, Eg5-ispinesib, and Eg5-STLC complexes with "closed" L5 conformation obtained in MD simulation were used to generate a combined pharmacophore model, and this model was used during the process of virtual screening. Further, the MD simulation for 1 µs showed that the binding of tolvaptan to Eg5 was stable due to the closure of the α2/L5/α3 pocket. Tolvaptan belongs to the class of drugs called vaptans which are non-peptide vasopressin receptor antagonists. Since our virtual search for mitotic inhibitors identified tolvaptan as a potential candidate, we were interested in unraveling its antimitotic mechanism. Tolvaptan bound to purified Eg5-437H with a dissociation constant of 27 ± 3.8 µM. Tolvaptan inhibited the growth of HeLa cells through the mitotic block, and around 70% of these mitotic cells exhibited a characteristic monopolar spindle. Tolvaptan bound to goat brain tubulin with a dissociation constant of 103 ± 13 µM. The binding location of tolvaptan on tubulin overlapped with that of colchicine, according to molecular docking analysis. The combination of tolvaptan with STLC augmented mitotic bock with monopolar cells, whereas its combination with vinblastine increased mitotic block with bipolar cells. Since tolvaptan is found to have a significant cytotoxic effect on HeLa cells, it can be developed as a prospective anticancer agent either alone or in combination with other antimitotic drugs. Tolvaptan was identified as an inhibitor of Eg5 in a MD simulation-based virtual screening using a combined pharmacophore model.

Indexed as

Antimitotic AgentsAntineoplastic AgentsHeLa CellsHumansKinesinsMolecular Docking SimulationProspective StudiesTolvaptanTubulinAntimitotic AgentsAntineoplastic AgentsKinesinsTolvaptanTubulinCancerKinesinMolecular dynamicPharmacophoreVirtual screening

Identifiers

PMID35789974
OpenAlexW4283795836

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.