Evidence map›Paper›PMID 37786533›Full record

ArticleBioinformatics advances2023

Investigating the conformational landscape of AlphaFold2-predicted protein kinase structures.

Carmen Al-Masri, Francesco Trozzi, Shu-Hang Lin, Oanh Tran, Navriti Sahni, Marcel Patek, Anna Cichonska, Balaguru Ravikumar, Rayees Rahman

Open access · goldAbstract read
In one paragraph

Article in Bioinformatics advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
4.6field-weighted citation impact, top 4% 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

13 citing papers in PubMed, 23 citations in OpenAlex.

  1. Multiple disulfide-bonded states confer extensive conformational diversity in fibrinogen.Protein science : a publication of the Protein Society · 2026
    Article
  2. Fine-Tuning DiffDock-L for Allosteric Kinase Docking.Journal of chemical information and modeling · 2026
    Article
  3. Conformational dynamics in insulin receptor kinase reveal a type III allosteric pocket.Protein science : a publication of the Protein Society · 2026
    Article
  4. Review
  5. Article
  6. Article
  7. Exploring the conformational landscape of protein kinases.Current opinion in structural biology · 2024
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. AlphaFold2 captures the conformational landscape of the HAMP signaling domain.Protein science : a publication of the Protein Society · 2024
    Article
  13. 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

9 authors at 3 institutions in 2 countries.

Carmen Al-MasriHarmonic Discovery Inc., New York, NY 10013, United States.
Francesco TrozziHarmonic Discovery Inc., New York, NY 10013, United States.
Shu-Hang LinHarmonic Discovery Inc., New York, NY 10013, United States.ORCID https://orcid.org/0000-0002-1034-0223
Oanh TranHarmonic Discovery Inc., New York, NY 10013, United States.
Navriti SahniHarmonic Discovery Inc., New York, NY 10013, United States.
Marcel PatekHarmonic Discovery Inc., New York, NY 10013, United States.
Anna CichonskaHarmonic Discovery Inc., New York, NY 10013, United States.
Balaguru RavikumarHarmonic Discovery Inc., New York, NY 10013, United States.
Rayees RahmanHarmonic Discovery Inc., New York, NY 10013, United States.ORCID https://orcid.org/0000-0002-0248-0680
Harmonic (United States) · USUniversity of California, Irvine · USUniversity of Michigan · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Summary: Protein kinases are a family of signaling proteins, crucial for maintaining cellular homeostasis. When dysregulated, kinases drive the pathogenesis of several diseases, and are thus one of the largest target categories for drug discovery. Kinase activity is tightly controlled by switching through several active and inactive conformations in their catalytic domain. Kinase inhibitors have been designed to engage kinases in specific conformational states, where each conformation presents a unique physico-chemical environment for therapeutic intervention. Thus, modeling kinases across conformations can enable the design of novel and optimally selective kinase drugs. Due to the recent success of AlphaFold2 in accurately predicting the 3D structure of proteins based on sequence, we investigated the conformational landscape of protein kinases as modeled by AlphaFold2. We observed that AlphaFold2 is able to model several kinase conformations across the kinome, however, certain conformations are only observed in specific kinase families. Furthermore, we show that the per residue predicted local distance difference test can capture information describing structural flexibility of kinases. Finally, we evaluated the docking performance of AlphaFold2 kinase structures for enriching known ligands. Taken together, we see an opportunity to leverage AlphaFold2 models for structure-based drug discovery against kinases across several pharmacologically relevant conformational states. Availability and implementation: All code used in the analysis is freely available at https://github.com/Harmonic-Discovery/AF2-kinase-conformational-landscape.

Identifiers

PMID37786533
PMCPMC10541651
OpenAlexW4386766921

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.