Evidence map›Paper›PMID 31069524›Full record

ArticleJournal of molecular modeling2019

Computational insights into the binding of IN17 inhibitors to MELK.

Matthew Harger, Ju-Hyeon Lee, Brandon Walker, Juliana M Taliaferro, Ramakrishna Edupuganti, Kevin N Dalby, Pengyu Ren

Abstract read
In one paragraph

Article in Journal of molecular modeling, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Recent progress in general force fields of small molecules.Current opinion in structural biology · 2022
    Review
  5. Article
  6. 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

7 authors.

Matthew HargerDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, TX, 78712, USA.
Ju-Hyeon LeeDivision of Chemical Biology and Medicinal Chemistry, University of Texas at Austin, Austin, TX, 78712, USA.
Brandon WalkerDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, TX, 78712, USA.
Juliana M TaliaferroDivision of Chemical Biology and Medicinal Chemistry, University of Texas at Austin, Austin, TX, 78712, USA.
Ramakrishna EdupugantiDivision of Chemical Biology and Medicinal Chemistry, University of Texas at Austin, Austin, TX, 78712, USA.
Kevin N DalbyDivision of Chemical Biology and Medicinal Chemistry, University of Texas at Austin, Austin, TX, 78712, USA.
Pengyu RenDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, TX, 78712, USA. pren@mail.utexas.edu.

Funding

DEVELOPMENT OF A NEXT-GENERATION NUCLEIC ACID FORCE FIELDR01GM106137 · NIGMS · WASHINGTON UNIVERSITY · PI JAY PONDER, Pengyu Ren · 2013 to 2026
$3.5M
Specificity and Selectivity in Protein-Ion BindingR01GM114237 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI PONDER, JAY, REN, PENGYU · 2015 to 2023
$2.6M
Nornicotine in smokeless tobacco as a precursor for carcinogen exposureR01CA180880 · NCI · UNIVERSITY OF MINNESOTA · PI STEPANOV, IRINA · 2014 to 2018
$2.4M
cAMP signaling in melanoma pathogenesis: Evidence for multiple microdomains playiK08CA160657 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI ZIPPIN, JONATHAN HALE · 2011 to 2015
$856k
Cancer Prevention and Research Institute of Texas RP160657Cancer Prevention and Research Institute of Texas RP180880Foundation for the National Institutes of Health R01GM106137Foundation for the National Institutes of Health R01GM114237NIGMS NIH HHS R01 GM106137NIGMS NIH HHS R01 GM114237Welch Foundation F-1390
6 · The paper itself

Abstract

The protein kinase MELK is an important kinase in cell signaling and has shown to be a promising anti-cancer target. Recent work has resulted in a novel small molecule scaffold targeting MELK, IN17. However, there has been little structural information or physical understanding of MELK-IN17 interactions. Using Tinker-OpenMM on GPUs, we have performed free energy simulations on MELK binding with IN17 and 11 derivatives. This series of studies provides structural insights into how substitution on IN17 leads to differences in complex structure and binding thermodynamics. In addition, this study serves as an assessment of the current capabilities of the AMOEBA forcefield, accelerated by GPU computing, to serve as a molecular-dynamics-based free energy simulation platform for lead optimization.

Indexed as

Models, MolecularQuantitative Structure-Activity RelationshipBiophysical PhenomenaHumansIndolesIsomerismMolecular Dynamics SimulationMolecular StructureProtein BindingProtein Kinase InhibitorsProtein Serine-Threonine KinasesSolventsIndolesMELK protein, humannintedanibProtein Kinase InhibitorsProtein Serine-Threonine KinasesSolventsFree energy calculationKinase inhibitorMELKMolecular dynamics

Identifiers

PMID31069524
PMCPMC7105934

What OpenQuestion holds

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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.