Evidence map›Paper›PMID 29142210›Full record

ArticleScientific reports2017

Millisecond dynamics of BTK reveal kinome-wide conformational plasticity within the apo kinase domain.

Mohammad M Sultan, Rajiah Aldrin Denny, Ray Unwalla, Frank Lovering, Vijay S Pande

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 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

27 citing papers in PubMed, 50 citations in OpenAlex.

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  9. Pre-exascale HPC approaches for molecular dynamics simulations. Covid-19 research: A use case.Wiley interdisciplinary reviews. Computational molecular science · 2022
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  14. Specific PIPCommunications biology · 2021
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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 at 2 institutions in 1 country.

Mohammad M SultanDepartment of Chemistry, Stanford University, 318 Campus Drive, Stanford, California, 94305, USA.ORCID 0000-0001-5578-6328
Rajiah Aldrin DennyMedicine Design, Worldwide Research & Development, Pfizer Inc, 610 Main St, Cambridge, MA, 02139, USA. Aldrin.Denny@pfizer.com.
Ray UnwallaMedicine Design, Worldwide Research & Development, Pfizer Inc, 610 Main St, Cambridge, MA, 02139, USA.
Frank LoveringMedicine Design, Worldwide Research & Development, Pfizer Inc, 610 Main St, Cambridge, MA, 02139, USA.
Vijay S PandeDepartment of Chemistry, Stanford University, 318 Campus Drive, Stanford, California, 94305, USA. Pande@stanford.edu.
Pfizer (United States) · USStanford University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bruton tyrosine kinase (BTK) is a key enzyme in B-cell development whose improper regulation causes severe immunodeficiency diseases. Design of selective BTK therapeutics would benefit from improved, in-silico structural modeling of the kinase's solution ensemble. However, this remains challenging due to the immense computational cost of sampling events on biological timescales. In this work, we combine multi-millisecond molecular dynamics (MD) simulations with Markov state models (MSMs) to report on the thermodynamics, kinetics, and accessible states of BTK's kinase domain. Our conformational landscape links the active state to several inactive states, connected via a structurally diverse intermediate. Our calculations predict a kinome-wide conformational plasticity, and indicate the presence of several new potentially druggable BTK states. We further find that the population of these states and the kinetics of their inter-conversion are modulated by protonation of an aspartate residue, establishing the power of MD & MSMs in predicting effects of chemical perturbations.

Indexed as

Molecular Dynamics SimulationProtein ConformationAgammaglobulinaemia Tyrosine KinaseB-LymphocytesComputer SimulationHumansKineticsMarkov ChainsThermodynamicsAgammaglobulinaemia Tyrosine Kinase

Identifiers

PMID29142210
PMCPMC5688120
OpenAlexW2951478780

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.