Evidence map›Paper›PMID 35834445›Full record

ArticlePloS one2022

Comparative study of the unbinding process of some HTLV-1 protease inhibitors using unbiased molecular dynamics simulations.

Fereshteh Noroozi Tiyoula, Hassan Aryapour, Mostafa Javaheri Moghadam

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. 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
0.2field-weighted citation impact, top 54% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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, 2 citations in OpenAlex.

  1. Review
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.

Fereshteh Noroozi TiyoulaDepartment of Biology, Faculty of Science, Golestan University, Gorgan, Iran.
Hassan AryapourDepartment of Biology, Faculty of Science, Golestan University, Gorgan, Iran.ORCID 0000-0002-3745-5565
Mostafa Javaheri MoghadamDepartment of Biology, Faculty of Science, Golestan University, Gorgan, Iran.
Golestan University · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The HTLV-1 protease is one of the major antiviral targets to overwhelm this virus. Several research groups have developed protease inhibitors, but none has been successful. In this regard, developing new HTLV-1 protease inhibitors to fix the defects in previous inhibitors may overcome the lack of curative treatment for this oncovirus. Thus, we decided to study the unbinding pathways of the most potent (compound 10, PDB ID 4YDF, Ki = 15 nM) and one of the weakest (compound 9, PDB ID 4YDG, Ki = 7900 nM) protease inhibitors, which are very structurally similar. We conducted 12 successful short and long simulations (totaling 14.8 μs) to unbind the compounds from two monoprotonated (mp) forms of protease using the Supervised Molecular Dynamics (SuMD) without applying any biasing force. The results revealed that Asp32 or Asp32' in the two forms of mp state similarly exert powerful effects on maintaining both potent and weak inhibitors in the binding pocket of HTLV-1 protease. In the potent inhibitor's unbinding process, His66' was a great supporter that was absent in the weak inhibitor's unbinding pathway. In contrast, in the weak inhibitor's unbinding process, Trp98/Trp98' by pi-pi stacking interactions were unfavorable for the stability of the inhibitor in the binding site. In our opinion, these results will assist in designing more potent and effective inhibitors for the HTLV-1 protease.

Indexed as

Human T-lymphotropic virus 1Molecular Dynamics SimulationAspartic Acid EndopeptidasesProtease InhibitorsAspartic Acid EndopeptidasesHTLV-1 proteaseProtease Inhibitors

Identifiers

PMID35834445
PMCPMC9282663
OpenAlexW4285495667

What OpenQuestion holds

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LicenceCC BY
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.