Evidence map›Paper›PMID 36073605›Full record

ArticleJournal of computational chemistry2022

Simulation of ligand dissociation kinetics from the protein kinase PYK2.

Justin Spiriti, Frank Noé, Chung F Wong

Abstract read
In one paragraph

Article in Journal of computational chemistry, 2022. 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.

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  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

3 authors.

Justin SpiritiDepartment of Chemistry and Biochemistry, University of Missouri-St. Louis, St. Louis, Missouri, USA.
Frank NoéDepartment of Mathematics and Computer Science, Freie Universität Berlin, Berlin, Germany.
Chung F WongDepartment of Chemistry and Biochemistry, University of Missouri-St. Louis, St. Louis, Missouri, USA.ORCID 0000-0001-7782-4612

Funding

Computer-Aided Drug Design Targeting Protein PhosphorylationR15CA224033 · NCI · UNIVERSITY OF MISSOURI-ST. LOUIS · PI WONG, CHUNG F. · 2019 to 2025
$1.5M
National Science Foundation CNS-1429294NCI NIH HHS R15 CA224033US National Institutes of Health CA224033
6 · The paper itself

Abstract

Early-stage drug discovery projects often focus on equilibrium binding affinity to the target alongside selectivity and other pharmaceutical properties. The kinetics of drug binding are ignored but can have significant influence on drug efficacy. Therefore, increasing attention has been paid on evaluating drug-binding kinetics early in a drug discovery process. Simulating drug-binding kinetics at the atomic level is challenging for the long time scale involved. Here, we used the transition-based reweighting analysis method (TRAM) with the Markov state model to study the dissociation of a ligand from the protein kinase PYK2. TRAM combines biased and unbiased simulations to reduce computational costs. This work used the umbrella sampling technique for the biased simulations. Although using the potential of mean force from umbrella sampling simulations with the transition-state theory over-estimated the dissociation rate by three orders of magnitude, TRAM gave a dissociation rate within an order of magnitude of the experimental value.

Indexed as

Focal Adhesion Kinase 2Protein KinasesKineticsLigandsMolecular Dynamics SimulationPharmaceutical PreparationsProtein BindingFocal Adhesion Kinase 2LigandsPharmaceutical PreparationsProtein Kinasesdrug-binding kineticsPYK2transition-based reweighting analysis methodumbrella sampling

Identifiers

PMID36073605
PMCPMC9976590

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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.