Evidence map›Paper›PMID 28811629›Full record

ArticleScientific reports2017

Forces and Disease: Electrostatic force differences caused by mutations in kinesin motor domains can distinguish between disease-causing and non-disease-causing mutations.

Lin Li, Zhe Jia, Yunhui Peng, Subash Godar, Ivan Getov, Shaolei Teng, Joshua Alper, Emil Alexov

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.4field-weighted citation impact, top 12% 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

18 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
  2. Article
  3. Electro-detachment of kinesin motor domain from microtubule in silico.Computational and structural biotechnology journal · 2023
    Article
  4. Article
  5. Review
  6. Article
  7. HIT web server: A hybrid method to improve electrostatic calculations for biomolecules.Computational and structural biotechnology journal · 2022
    Article
  8. The dual role of SrbA from Paracoccidioides lutzii: a hypoxic regulator.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2021
    Article
  9. Hybrid method for representing ions in implicit solvation calculations.Computational and structural biotechnology journal · 2021
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Modeling Electrostatic Force in Protein-Protein Recognition.Frontiers in molecular biosciences · 2019
    Article
  18. Computational Approaches to Prioritize Cancer Driver Missense Mutations.International journal of molecular sciences · 2018
    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

8 authors at 2 institutions in 1 country.

Lin LiDepartment of Physics and Astronomy, Clemson University, Clemson, SC, 29634, USA.
Zhe JiaDepartment of Physics and Astronomy, Clemson University, Clemson, SC, 29634, USA.
Yunhui PengDepartment of Physics and Astronomy, Clemson University, Clemson, SC, 29634, USA.
Subash GodarDepartment of Physics and Astronomy, Clemson University, Clemson, SC, 29634, USA.
Ivan GetovDepartment of Chemical Engineering, Clemson University, Clemson, SC, 29634, USA.
Shaolei TengDepartment of Biology, Howard University, Washington, DC, 20059, USA.
Joshua AlperDepartment of Physics and Astronomy, Clemson University, Clemson, SC, 29634, USA. alper@clemson.edu.ORCID 0000-0003-1235-8694
Emil AlexovDepartment of Physics and Astronomy, Clemson University, Clemson, SC, 29634, USA. ealexov@clemson.edu.ORCID 0000-0001-5346-0156
Clemson University · USHoward University · US

Funding

The role of acetate fermentation in Entamoeba histolytica growth and infectionP20GM109094 · NIGMS · CLEMSON UNIVERSITY · PI MORRIS, MEREDITH T · 2016 to 2020
$10.4M
New Generation DelPhi: large systems and beyond electrostaticsR01GM093937 · NIGMS · CLEMSON UNIVERSITY · PI ALEXOV, EMIL GEORGIEV · 2010 to 2023
$4.3M
NIGMS NIH HHS P20 GM109094NIGMS NIH HHS R01 GM093937
6 · The paper itself

Abstract

The ability to predict if a given mutation is disease-causing or not has enormous potential to impact human health. Typically, these predictions are made by assessing the effects of mutation on macromolecular stability and amino acid conservation. Here we report a novel feature: the electrostatic component of the force acting between a kinesin motor domain and tubulin. We demonstrate that changes in the electrostatic component of the binding force are able to discriminate between disease-causing and non-disease-causing mutations found in human kinesin motor domains using the receiver operating characteristic (ROC). Because diseases may originate from multiple effects not related to kinesin-microtubule binding, the prediction rate of 0.843 area under the ROC plot due to the change in magnitude of the electrostatic force alone is remarkable. These results reflect the dependence of kinesin's function on motility along the microtubule, which suggests a precise balance of microtubule binding forces is required.

Indexed as

Disease SusceptibilityMutationStatic ElectricityBinding SitesGenetic Predisposition to DiseaseHumansKinesinsMicrotubulesModels, MolecularPolymorphism, Single NucleotideProtein BindingProtein ConformationROC CurveStructure-Activity RelationshipTubulinKinesinsTubulin

Identifiers

PMID28811629
PMCPMC5557957
OpenAlexW2742408182

What OpenQuestion holds

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Registered trials

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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.