Evidence map›Paper›PMID 38113210›Full record

ArticlePloS one2023

Binding selectivity analysis of AURKs inhibitors through molecular dynamics simulation studies.

Rima D Alharthy, Ghulam Fatima, Numan Yousaf, Muhammad Shaheen Iqbal, Sadia Sattar, Abdullah R Alanzi, Ijaz Ali, Muhammad Muddassar

Open access · goldAbstract read
In one paragraph

Article in PloS one, 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 34% 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. 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

8 authors at 4 institutions in 3 countries.

Rima D AlharthyDepartment of Chemistry, Science and Arts College, King Abdulaziz University, Jeddah, Saudi Arabia.ORCID 0000-0003-3165-929X
Ghulam FatimaDepartment of Biosciences, COMSATS University Islamabad, Islamabad, Pakistan.
Numan YousafDepartment of Biosciences, COMSATS University Islamabad, Islamabad, Pakistan.
Muhammad Shaheen IqbalDepartment of Biosciences, COMSATS University Islamabad, Islamabad, Pakistan.ORCID 0000-0002-3586-7531
Sadia SattarDepartment of Biosciences, COMSATS University Islamabad, Islamabad, Pakistan.
Abdullah R AlanziDepartment of Pharmacognosy, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia.
Ijaz AliCentre for Applied Mathematics and Bioinformatics (CAMB), Gulf University for Science and Technology, Hawally, Kuwait.
Muhammad MuddassarDepartment of Biosciences, COMSATS University Islamabad, Islamabad, Pakistan.ORCID 0000-0001-7860-0522
COMSATS University Islamabad · PKGulf University for Science & Technology · KWKing Abdulaziz University · SAKing Saud University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aurora kinases (AURKs) have been identified as promising biological targets for the treatment of cancer. In this study, molecular dynamics simulations were employed to investigate the binding selectivity of three inhibitors (HPM, MPY, and VX6) towards AURKA and AURKB by predicting their binding free energies. The results show that the inhibitors HPM, MPY, and VX6 have more favorable interactions with AURKB as compared to AURKA. The binding energy decomposition analysis revealed that four common residue pairs (L139, L83), (V147, V91), (L210, L154), and (L263, L207) showed significant binding energies with HPM, MPY, and VX6, hence responsible for the binding selectivity of AURKA and AURKB to the inhibitors. The MD trajectory analysis also revealed that the inhibitors affect the dynamic flexibility of protein structure, which is also responsible for the partial selectivity of HPM, MPY, and VX6 towards AURKA and AURKB. As expected, this study provides useful insights for the design of potential inhibitors with high selectivity for AURKA and AURKB.

Indexed as

Aurora Kinase AMolecular Dynamics SimulationAurora Kinase BProtein Kinase InhibitorsAurora Kinase AAurora Kinase BProtein Kinase Inhibitors

Identifiers

PMID38113210
PMCPMC10729953
OpenAlexW4389982088

What OpenQuestion holds

Textmetadata
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.