Evidence map›Paper›PMID 25988177›Full record

ArticleFrontiers in molecular biosciences2015

Using docking and alchemical free energy approach to determine the binding mechanism of eEF2K inhibitors and prioritizing the compound synthesis.

Qiantao Wang, Ramakrishna Edupuganti, Clint D J Tavares, Kevin N Dalby, Pengyu Ren

Abstract read
In one paragraph

Article in Frontiers in molecular biosciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

5 authors.

Qiantao WangDivision of Medicinal Chemistry, College of Pharmacy, The University of Texas at Austin Austin, TX, USA ; Department of Biomedical Engineering, Cockrell School of Engineering, The University of Texas at Austin Austin, TX, USA.
Ramakrishna EdupugantiDivision of Medicinal Chemistry, College of Pharmacy, The University of Texas at Austin Austin, TX, USA.
Clint D J TavaresGraduate Program in Cell and Molecular Biology, The University of Texas at Austin Austin, TX, USA.
Kevin N DalbyDivision of Medicinal Chemistry, College of Pharmacy, The University of Texas at Austin Austin, TX, USA ; Graduate Program in Cell and Molecular Biology, The University of Texas at Austin Austin, TX, USA.
Pengyu RenDepartment of Biomedical Engineering, Cockrell School of Engineering, The University of Texas at Austin Austin, TX, USA.

Funding

DEVELOPMENT OF A NEXT-GENERATION NUCLEIC ACID FORCE FIELDR01GM106137 · NIGMS · WASHINGTON UNIVERSITY · PI JAY PONDER, Pengyu Ren · 2013 to 2026
$3.5M
Mechanism and Specificity of MAP KinasesR01GM059802 · NIGMS · UNIVERSITY OF TEXAS AUSTIN · PI DALBY, KEVIN N · 2001 to 2011
$2.3M
Novel Therapeutics for Translation Control in Breast CancerR21CA167505 · NCI · UNIVERSITY OF TEXAS AT AUSTIN · PI DALBY, KEVIN N, OZPOLAT, BULENT · 2012 to 2013
$369k
NCI NIH HHS R21 CA167505NIGMS NIH HHS R01 GM059802NIGMS NIH HHS R01 GM106137
6 · The paper itself

Abstract

A-484954 is a known eEF2K inhibitor with submicromolar IC50 potency. However, the binding mechanism and the crystal structure of the kinase remains unknown. Here, we employ a homology eEF2K model, docking and alchemical free energy simulations to probe the binding mechanism of eEF2K, and in turn, guide the optimization of potential lead compounds. The inhibitor was docked into the ATP-binding site of a homology model first. Three different binding poses, hypothesis 1, 2, and 3, were obtained and subsequently applied to molecular dynamics (MD) based alchemical free energy simulations. The calculated relative binding free energy of the analogs of A-484954 using the binding pose of hypothesis 1 show a good correlation with the experimental IC50 values, yielding an r (2) coefficient of 0.96 after removing an outlier (compound 5). Calculations using another two poses show little correlation with experimental data, (r (2) of less than 0.5 with or without removing any outliers). Based on hypothesis 1, the calculated relative free energy suggests that bigger cyclic groups, at R1 e.g., cyclobutyl and cyclopentyl promote more favorable binding than smaller groups, such as cyclopropyl and hydrogen. Moreover, this study also demonstrates the ability of the alchemical free energy approach in combination with docking and homology modeling to prioritize compound synthesis. This can be an effective means of facilitating structure-based drug design when crystal structures are not available.

Indexed as

dockingdrug discoveryeEF2K inhibitorfree energy calculationkinasemolecular dynamics

Identifiers

PMID25988177
PMCPMC4429643

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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.