Evidence map›Paper›PMID 38211377›Full record

ReviewCurrent opinion in structural biology2024

Allo-targeting of the kinase domain: Insights from in silico studies and comparison with experiments.

Ji Young Lee, Emma Gebauer, Markus A Seeliger, Ivet Bahar

Abstract readReview
In one paragraph

Review in Current opinion in structural biology, 2024. 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.

  1. Review
  2. Review
  3. How residence time works in allosteric drugs.Current opinion in structural biology · 2025
    Review
  4. Review
  5. Article
  6. Global hinge sites of proteins as target sites for drug binding.Proceedings of the National Academy of Sciences of the United States of America · 2024
    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

4 authors.

Ji Young LeeLaufer Center for Physical & Quantitative Biology, Department of Biochemistry and Cell Biology, School of Medicine, Stony Brook University, NY 11794, USA.
Emma GebauerLaufer Center for Physical & Quantitative Biology, Department of Pharmacological Sciences, School of Medicine, Stony Brook University, NY 11794, USA.
Markus A SeeligerLaufer Center for Physical & Quantitative Biology, Department of Pharmacological Sciences, School of Medicine, Stony Brook University, NY 11794, USA. Electronic address: markus.seeliger@stonybrook.edu.
Ivet BaharLaufer Center for Physical & Quantitative Biology, Department of Biochemistry and Cell Biology, School of Medicine, Stony Brook University, NY 11794, USA. Electronic address: bahar@laufercenter.org.

Funding

Dynamics of Ligand Binding and Protein Kinase Regulation_RenewalR35GM119437 · NIGMS · STATE UNIVERSITY NEW YORK STONY BROOK · PI Markus A Seeliger · 2016 to 2026
$6.5M
Toward a Deeper Understanding of Allostery and Allotargeting by Computational ApproachesR01GM139297 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Ivet Bahar · 2021 to 2026
$2.8M
NIGMS NIH HHS R01 GM139297NIGMS NIH HHS R35 GM119437
6 · The paper itself

Abstract

The eukaryotic protein kinase domain has been a broadly explored target for drug discovery, despite limitations imposed by its high sequence conservation as a shared modular domain and the development of resistance to drugs. One way of addressing those limitations has been to target its potential allosteric sites, shortly called allo-targeting, in conjunction with, or separately from, its conserved catalytic/orthosteric site that has been widely exploited. Allosteric regulation has gained importance as an alternative to overcome the drawbacks associated with the indiscriminate effect of targeting the active site, and it turned out to be particularly useful for these highly promiscuous and broadly shared kinase domains. Yet, allo-targeting often faces challenges as the allosteric sites are not as clearly defined as its orthosteric sites, and the effect on the protein function may not be unambiguously assessed. A robust understanding of the consequence of site-specific allo-targeting on the conformational dynamics of the target protein is essential to design effective allo-targeting strategies. Recent years have seen important advances in in silico identification of druggable sites and distinguishing among them those sites expected to allosterically mediate conformational switches essential to signal transmission. The present opinion underscores the utility of such computational approaches applied to the kinase domain, with the help of comparison between computational predictions and experimental observations.

Indexed as

Drug DiscoveryProteinsAllosteric RegulationAllosteric SiteCatalytic DomainProteins

Identifiers

PMID38211377
PMCPMC11044982

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.