Evidence map›Paper›PMID 37503033›Full record

ArticlebioRxiv : the preprint server for biology2023

Allosteric regulation of kinase activity in living cells.

Shivani Godbole, Nikolay V Dokholyan

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Shivani GodboleDepartment of Pharmacology, Penn State College of Medicine, Hershey, PA 17033-0850, USA.
Nikolay V DokholyanDepartment of Pharmacology, Penn State College of Medicine, Hershey, PA 17033-0850, USA.
Pennsylvania State University · US

Funding

Nanoscale programming of cellular and physiological phenotypes: EquipmentR35GM134864 · NIGMS · UNIVERSITY OF VIRGINIA · PI Nikolay Dokholyan · 2020 to 2026
$5.2M
AI-based Mapping of Complex Cannabis Extracts in Pain PathwaysR01AT012053 · NCCIH · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI Nikolay Dokholyan, KENT E VRANA · 2023 to 2026
$2.4M
Discovery of functionally selective dopamine ligands for age-related cognitive declineRF1AG071675 · NIA · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI DOKHOLYAN, NIKOLAY, MAILMAN, RICHARD B · 2021 to 2021
$1.5M
NCCIH NIH HHS R01 AT012053NIA NIH HHS RF1 AG071675NIGMS NIH HHS R35 GM134864
6 · The paper itself

Abstract

The dysregulation of protein kinases is associated with multiple diseases due to the kinases' involvement in a variety of cell signaling pathways. Manipulating protein kinase function, by controlling the active site, is a promising therapeutic and investigative strategy to mitigate and study diseases. Kinase active sites share structural similarities making it difficult to specifically target one kinase, allosteric control allows specific regulation and study of kinase function without directly targeting the active site. Allosteric sites are distal to the active site but coupled via a dynamic network of inter-atomic interactions between residues in the protein. Establishing an allosteric control over a kinase requires understanding the allosteric wiring of the protein. Computational techniques offer effective and inexpensive mapping of the allosteric sites on a protein. Here, we discuss methods to map and regulate allosteric communications in proteins, and strategies to establish control over kinase functions in live cells and organisms. Protein molecules, or "sensors" are engineered to function as tools to control allosteric activity of the protein as these sensors have high spatiotemporal resolution and help in understanding cell phenotypes after immediate activation or inactivation of a kinase. Traditional methods used to study protein functions, such as knockout, knockdown, or mutation, cannot offer a sufficiently high spatiotemporal resolution. We discuss the modern repertoire of tools to regulate protein kinases as we enter a new era in deciphering cellular signaling and developing novel approaches to treat diseases associated with signal dysregulation.

Identifiers

PMID37503033
PMCPMC10370130
OpenAlexW4384821221

What OpenQuestion holds

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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.