Evidence map›Paper›PMID 29988151›Full record

ArticleNature chemistry2018

Towards simple kinetic models of functional dynamics for a kinase subfamily.

Mohammad M Sultan, Gert Kiss, Vijay S Pande

Abstract read
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In one paragraph

Article in Nature chemistry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed, 76 citations in OpenAlex.

  1. Dynamic mechanism for subtype selectivity of endocannabinoids.The Journal of biological chemistry · 2026
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  13. Independent Markov decomposition: Toward modeling kinetics of biomolecular complexes.Proceedings of the National Academy of Sciences of the United States of America · 2021
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  16. Discovery of a hidden transient state in all bromodomain families.Proceedings of the National Academy of Sciences of the United States of America · 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

3 authors at 3 institutions in 1 country.

Mohammad M SultanDepartment of Chemistry, Stanford University, Stanford, CA, USA.
Gert KissDepartment of Chemistry, Stanford University, Stanford, CA, USA.
Vijay S PandeDepartment of Bioengineering, Stanford University, Stanford, CA, USA. pande@stanford.edu.ORCID http://orcid.org/0000-0003-2774-1178
Revolution Medicines (United States) · USStanford Medicine · USStanford University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Kinases are ubiquitous enzymes involved in the regulation of critical cellular pathways. However, in silico modelling of the conformational ensembles of these enzymes is difficult due to inherent limitations and the cost of computational approaches. Recent algorithmic advances combined with homology modelling and parallel simulations have enabled researchers to address this computational sampling bottleneck. Here, we present the results of molecular dynamics studies for seven Src family kinase (SFK) members: Fyn, Lyn, Lck, Hck, Fgr, Yes and Blk. We present a sequence invariant extension to Markov state models, which allows us to quantitatively compare the structural ensembles of the seven kinases. Our findings indicate that in the absence of their regulatory partners, SFK members have similar in silico dynamics with active state populations ranging from 4 to 40% and activation timescales in the hundreds of microseconds. Furthermore, we observe several potentially druggable intermediate states, including a pocket next to the adenosine triphosphate binding site that could potentially be targeted via a small-molecule inhibitor.

Indexed as

Models, BiologicalAdenosine TriphosphateAmino Acid MotifsBinding SitesKineticsMarkov ChainsMolecular Dynamics SimulationProtein Kinase InhibitorsProtein Structure, TertiarySmall Molecule Librariessrc-Family KinasesAdenosine TriphosphateProtein Kinase InhibitorsSmall Molecule Librariessrc-Family Kinases

Identifiers

PMID29988151
OpenAlexW2950292741

What OpenQuestion holds

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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.