Evidence map›Paper›PMID 31285328›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2019

Dynamic allostery-based molecular workings of kinase:peptide complexes.

Lalima G Ahuja, Phillip C Aoto, Alexandr P Kornev, Gianluigi Veglia, Susan S Taylor

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Allostery in Protein Tyrosine Phosphatases is Enabled by Divergent Dynamics.Journal of chemical information and modeling · 2024
    Article
  11. Article
  12. Article
  13. Protein Kinase Structure and Dynamics: Role of the αC-β4 Loop.bioRxiv : the preprint server for biology · 2023
    Article
  14. Review
  15. Review
  16. Article
  17. Review
  18. Article
  19. Molecular Modeling Studies ofInternational journal of molecular sciences · 2021
    Article
  20. Distant residues modulate conformational opening in SARS-CoV-2 spike protein.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
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.

Lalima G AhujaDepartment of Pharmacology, University of California San Diego, La Jolla, CA 92093; lalima1312@gmail.com staylor@ucsd.edu.
Phillip C AotoDepartment of Pharmacology, University of California San Diego, La Jolla, CA 92093.
Alexandr P KornevDepartment of Pharmacology, University of California San Diego, La Jolla, CA 92093.ORCID 0000-0002-1543-3795
Gianluigi VegliaDepartment of Chemistry, University of Minnesota, Minneapolis, MN 55455.
Susan S TaylorDepartment of Pharmacology, University of California San Diego, La Jolla, CA 92093; lalima1312@gmail.com staylor@ucsd.edu.

Funding

Contemporary Approaches to Cancer Cell Signaling and CommunicationT32CA009523 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DONOGHUE, DANIEL J, YANG, JING · 1985 to 2025
$12.1M
Protein Kinase Regulatory Subunit I Directed MutagenesisR01GM034921 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI TAYLOR, SUSAN S. · 1985 to 2018
$7.2M
Lessons Learned from PKA: Assembly of Dynamic Macromolecular SwitchesR35GM130389 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SUSAN S. TAYLOR · 2019 to 2026
$5.7M
Mapping Allosteric Cooperativity in Protein KinasesR01GM100310 · NIGMS · UNIVERSITY OF MINNESOTA · PI VEGLIA, GIANLUIGI · 2012 to 2019
$4.3M
Regulation of Receptor Tyrosine KinasesR01GM065490 · NIGMS · UNIVERSITY OF CALIFORNIA SAN DIEGO · PI DONOGHUE, DANIEL J · 2002 to 2005
$1.0M
NCI NIH HHS T32 CA009523NIGMS NIH HHS R01 GM034921NIGMS NIH HHS R01 GM065490NIGMS NIH HHS R01 GM100310NIGMS NIH HHS R35 GM130389
6 · The paper itself

Abstract

A dense interplay between structure and dynamics underlies the working of proteins, especially enzymes. Protein kinases are molecular switches that are optimized for their regulation rather than catalytic turnover rates. Using long-simulations dynamic allostery analysis, this study describes an exploration of the dynamic kinase:peptide complex. We have used protein kinase A (PKA) as a model system as a generic prototype of the protein kinase superfamily of signaling enzymes. Our results explain the role of dynamic coupling of active-site residues that must work in coherence to provide for a successful activation or inhibition response from the kinase. Amino acid networks-based community analysis allows us to ponder the conformational entropy of the kinase:nucleotide:peptide ternary complex. We use a combination of 7 peptides that include 3 types of PKA-binding partners: Substrates, products, and inhibitors. The substrate peptides provide for dynamic insights into the enzyme:substrate complex, while the product phospho-peptide allows for accessing modes of enzyme:product release. Mapping of allosteric communities onto the PKA structure allows us to locate the more unvarying and flexible dynamic regions of the kinase. These distributions, when correlated with the structural elements of the kinase core, allow for a detailed exploration of key dynamics-based signatures that could affect peptide recognition and binding at the kinase active site. These studies provide a unique dynamic allostery-based perspective to kinase:peptide complexes that have previously been explored only in a structural or thermodynamic context.

Indexed as

Adenosine TriphosphateAllosteric RegulationAllosteric SiteAmino Acid SequenceCatalytic DomainCyclic AMP-Dependent Protein KinasesEnzyme InhibitorsKineticsMagnesiumMolecular Dynamics SimulationPeptidesProtein BindingProtein Conformation, alpha-HelicalProtein Conformation, beta-StrandProtein Interaction Domains and MotifsProtein Structure, TertiaryAdenosine TriphosphateCyclic AMP-Dependent Protein KinasesEnzyme InhibitorsMagnesiumPeptidesallosterycommunity mapsdynamicsprotein kinaseviolin model

Identifiers

PMID31285328
PMCPMC6660753

What OpenQuestion holds

Textmetadata
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.