Evidence map›Paper›PMID 39042517›Full record

ArticleChemistry (Weinheim an der Bergstrasse, Germany)2024

N-Glycosylation-Induced Pathologic Protein Conformations as a Tool to Guide the Selection of Biologically Active Small Molecules.

Andrea Magni, Cristiano Sciva, Matteo Castelli, Chander S Digwal, Anna Rodina, Sahil Sharma, Stefan Ochiana, Hardik J Patel, Smit Shah, Gabriela Chiosis and 2 more

Abstract read
In one paragraph

Article in Chemistry (Weinheim an der Bergstrasse, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Altered residence time as a cause of drug resistance.Current opinion in structural biology · 2026
    Review
  5. Review
  6. ATM interaction with GRP94 modulates oncogenic receptor expression and signaling and microglial activation.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  7. Review
  8. Review
  9. How residence time works in allosteric drugs.Current opinion in structural biology · 2025
    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

12 authors.

Andrea MagniDepartment of Chemistry, University of Pavia, 27100, Pavia, Italy.
Cristiano ScivaDepartment of Chemistry, University of Pavia, 27100, Pavia, Italy.
Matteo CastelliDepartment of Chemistry, University of Pavia, 27100, Pavia, Italy.
Chander S DigwalChemical Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
Anna RodinaChemical Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
Sahil SharmaChemical Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
Stefan OchianaChemical Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
Hardik J PatelChemical Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
Smit ShahChemical Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
Gabriela ChiosisChemical Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
Elisabetta MoroniInstitute of Chemical Sciences and Technologies (SCITEC), Italian National Research Council (CNR), 20131, Milano, Italy.
Giorgio ColomboDepartment of Chemistry, University of Pavia, 27100, Pavia, Italy.ORCID https://orcid.org/0000-0002-1318-668X

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
Project 3: Structural Basis for grp94 Drug Development and Chaperone FunctionP01CA186866 · NCI · OHIO STATE UNIVERSITY · PI LI, ZIHAI · 2015 to 2019
$6.7M
Impact of sex differences on the trajectory of interactome dysfunctions across the AD spectrumR01AG074004 · NIA · SLOAN-KETTERING INST CAN RESEARCH · PI CHIOSIS, GABRIELA, GINSBERG, STEPHEN D · 2021 to 2025
$6.0M
Chaperome networks in Alzheimer's diseaseR01AG067598 · NIA · SLOAN-KETTERING INST CAN RESEARCH · PI ARANCIO, OTTAVIO, CHIOSIS, GABRIELA · 2021 to 2025
$5.9M
Selective interactome vulnerability across the Alzheimer’s disease spectrumR01AG072599 · NIA · SLOAN-KETTERING INST CAN RESEARCH · PI GABRIELA CHIOSIS, STEPHEN D GINSBERG · 2023 to 2026
$5.4M
[18F]-PU-AD epichaperome PET imaging probeRF1AG071805 · NIA · SLOAN-KETTERING INST CAN RESEARCH · PI CHIOSIS, GABRIELA, DUNPHY, MARK P. · 2022 to 2025
$4.8M
Neuropathology and inflammation in a nonhuman primate model of insulin resistance/metabolic syndromeR01AG085572 · NIA · UNIVERSITY OF CALIFORNIA AT DAVIS · PI STEPHEN D GINSBERG, PETER J HAVEL · 2024 to 2026
$3.8M
Small molecule Hsp90 inhibitors in AD treatmentU01AG032969 · NIA · SLOAN-KETTERING INST CAN RESEARCH · PI CHIOSIS, GABRIELA · 2010 to 2014
$3.5M
Biomarkers for predicting response to Hsp90 therapyR01CA172546 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI CHIOSIS, GABRIELA, DUNPHY, MARK P. · 2013 to 2017
$2.9M
A chemical chaperomics platform for ADR56AG061869 · NIA · SLOAN-KETTERING INST CAN RESEARCH · PI CHIOSIS, GABRIELA · 2018 to 2019
$1.8M
Selective interactome vulnerability across the Alzheimer’s disease spectrumR56AG072599 · NIA · SLOAN-KETTERING INST CAN RESEARCH · PI CHIOSIS, GABRIELA, GINSBERG, STEPHEN D · 2021 to 2021
$1.2M
Design, synthesis and evaluation of selective Grp94 inhibitorsR21AI090501 · NIAID · SLOAN-KETTERING INST CAN RESEARCH · PI CHIOSIS, GABRIELA · 2010 to 2011
$460k
Fondazione AIRC per la ricerca sul cancro ETS IG 2022 - ID. 27139Ministero della Salute IMMUNO-HUB, T4-CN-02,Ministero dell'Università e della Ricerca Programma di ricerca CN00000013NCI NIH HHS P01 CA186866NCI NIH HHS P30 CA008748NCI NIH HHS R01 CA172546NCI NIH HHS R21 CA158609NIAID NIH HHS R21 AI090501NIA NIH HHS R01 AG067598NIA NIH HHS R01 AG072599NIA NIH HHS R01 AG074004NIA NIH HHS R01 AG085572NIA NIH HHS R56 AG061869NIA NIH HHS R56 AG072599NIA NIH HHS RF1 AG071805NIA NIH HHS U01 AG032969NIH HHS R01 CA172546, P01 CA186866, R56 AG061869, RF1 AG071805, R01 AG067598, R01 AG074004, R01 AG072599, P30 CA08748
6 · The paper itself

Abstract

Post-translational modifications such as protein N-glycosylation, significantly influence cellular processes. Dysregulated N-glycosylation, exemplified in Grp94, a member of the Hsp90 family, leads to structural changes and the formation of epichaperomes, contributing to pathologies. Targeting N-glycosylation-induced conformations offers opportunities for developing selective chemical tools and drugs for these pathologic forms of chaperones. We here demonstrate how a specific Grp94 conformation induced by N-glycosylation, identified previously via molecular dynamics simulations, rationalizes the distinct behavior of similar ligands. Integrating dynamic ligand unbinding information with SAR development, we differentiate ligands productively engaging the pathologic Grp94 conformers from those that are not. Additionally, analyzing binding site stereoelectronic properties and QSAR models using cytotoxicity data unveils relationships between chemical, conformational properties, and biological activities. These findings facilitate the design of ligands targeting specific Grp94 conformations induced by abnormal glycosylation, selectively disrupting pathogenic protein networks while sparing normal mechanisms.

Indexed as

Molecular Dynamics SimulationProtein ConformationBinding SitesGlycosylationHumansLigandsMembrane GlycoproteinsProtein Processing, Post-TranslationalQuantitative Structure-Activity RelationshipSmall Molecule LibrariesendoplasminLigandsMembrane GlycoproteinsSmall Molecule LibrariesChaperonesDrug designMolecular dynamicsPost-translational modifications

Identifiers

PMID39042517
PMCPMC12000882

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.