Evidence map›Paper›PMID 33526356›Full record

ReviewAdvances in biological regulation2021

Structural insights into C1-ligand interactions: Filling the gaps by in silico methods.

Sachin Katti, Tatyana I Igumenova

Open access · greenAbstract readReview
In one paragraph

Review in Advances in biological regulation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.7field-weighted citation impact, top 32% 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

7 citing papers in PubMed, 9 citations in OpenAlex.

  1. Design of PKC-Targeting Benzolactams as Gli Inhibitors.ACS medicinal chemistry letters · 2026
    Article
  2. Article
  3. Jatrophane Diterpenoids fromInternational journal of molecular sciences · 2023
    Article
  4. Article
  5. Review
  6. Review
  7. 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

2 authors at 1 institution in 1 country.

Sachin KattiDepartment of Biochemistry and Biophysics, Texas A&M University, 300 Olsen Boulevard, College Station, TX, 77843, United States.
Tatyana I IgumenovaDepartment of Biochemistry and Biophysics, Texas A&M University, 300 Olsen Boulevard, College Station, TX, 77843, United States. Electronic address: tigumenova@tamu.edu.
Texas A&M University · US

Funding

Structural and Functional Studies of Protein Kinase C RegulationR01GM108998 · NIGMS · TEXAS A&M AGRILIFE RESEARCH · PI Tatyana I. Igumenova · 2014 to 2026
$3.3M
NIGMS NIH HHS R01 GM108998
6 · The paper itself

Abstract

Protein Kinase C isoenzymes (PKCs) are the key mediators of the phosphoinositide signaling pathway, which involves regulated hydrolysis of phosphatidylinositol (4,5)-bisphosphate to diacylglycerol (DAG) and inositol-1,4,5-trisphosphate. Dysregulation of PKCs is implicated in many human diseases making this class of enzymes an important therapeutic target. Specifically, the DAG-sensing cysteine-rich conserved homology-1 (C1) domains of PKCs have emerged as promising targets for pharmaceutical modulation. Despite significant progress, the rational design of the C1 modulators remains challenging due to difficulties associated with structure determination of the C1-ligand complexes. Given the dearth of experimental structural data, computationally derived models have been instrumental in providing atomistic insight into the interactions of the C1 domains with PKC agonists. In this review, we provide an overview of the in silico approaches for seven classes of C1 modulators and outline promising future directions.

Indexed as

AnimalsComputer SimulationHumansIsoenzymesLigandsModels, MolecularProtein DomainsProtein Kinase CSignal TransductionIsoenzymesLigandsProtein Kinase CC1 domainsDiacylglycerolIn silicoPhosphoinositide signalingPKC agonistsProtein kinase C

Identifiers

PMID33526356
PMCPMC8867786
OpenAlexW3125812383

What OpenQuestion holds

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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.