Evidence map›Paper›PMID 37465292›Full record

ArticleACS medicinal chemistry letters2023

Optimization of 1,2,4-Triazole-Based p97 Inhibitors for the Treatment of Cancer.

Matthew G LaPorte, Celeste Alverez, Alexander Chatterley, Marina Kovaliov, Evan J Carder, Michael J Houghton, Chaemin Lim, Eric R Miller, Lalith P Samankumara, Mary Liang and 11 more

Open access · greenAbstract read
In one paragraph

Article in ACS medicinal chemistry letters, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.1field-weighted citation impact, top 14% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Oncotarget · 2025
    Article
  3. Article
  4. 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

21 authors at 3 institutions in 1 country.

Matthew G LaPorteUniversity of Pittsburgh Chemical Diversity Center, University of Pittsburgh, Pittsburgh, Pennsylvania 15260, United States.
Celeste AlverezUniversity of Pittsburgh Chemical Diversity Center, University of Pittsburgh, Pittsburgh, Pennsylvania 15260, United States.
Alexander ChatterleyUniversity of Pittsburgh Chemical Diversity Center, University of Pittsburgh, Pittsburgh, Pennsylvania 15260, United States.
Marina KovaliovUniversity of Pittsburgh Chemical Diversity Center, University of Pittsburgh, Pittsburgh, Pennsylvania 15260, United States.
Evan J CarderUniversity of Pittsburgh Chemical Diversity Center, University of Pittsburgh, Pittsburgh, Pennsylvania 15260, United States.ORCID https://orcid.org/0000-0001-5727-0632
Michael J HoughtonUniversity of Pittsburgh Chemical Diversity Center, University of Pittsburgh, Pittsburgh, Pennsylvania 15260, United States.
Chaemin LimUniversity of Pittsburgh Chemical Diversity Center, University of Pittsburgh, Pittsburgh, Pennsylvania 15260, United States.
Eric R MillerUniversity of Pittsburgh Chemical Diversity Center, University of Pittsburgh, Pittsburgh, Pennsylvania 15260, United States.ORCID https://orcid.org/0009-0003-3584-4254
Lalith P SamankumaraUniversity of Pittsburgh Chemical Diversity Center, University of Pittsburgh, Pittsburgh, Pennsylvania 15260, United States.
Mary LiangUniversity of Pittsburgh Chemical Diversity Center, University of Pittsburgh, Pittsburgh, Pennsylvania 15260, United States.
Kaylan KerriganUniversity of Pittsburgh Chemical Diversity Center, University of Pittsburgh, Pittsburgh, Pennsylvania 15260, United States.
Zhizhou YueUniversity of Pittsburgh Chemical Diversity Center, University of Pittsburgh, Pittsburgh, Pennsylvania 15260, United States.
Shan LiDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, California 91125, United States.
Francesca TomainoLeidos Biomedical Research, Inc., Frederick, Maryland 21702, United States.ORCID https://orcid.org/0000-0001-8991-5415
Feng WangDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, California 91125, United States.
Neal GreenLeidos Biomedical Research, Inc., Frederick, Maryland 21702, United States.
Gordon M StottLeidos Biomedical Research, Inc., Frederick, Maryland 21702, United States.
Apurva SrivastavaLeidos Biomedical Research, Inc., Frederick, Maryland 21702, United States.
Tsui-Fen ChouDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, California 91125, United States.ORCID https://orcid.org/0000-0003-2410-2186
Peter WipfUniversity of Pittsburgh Chemical Diversity Center, University of Pittsburgh, Pittsburgh, Pennsylvania 15260, United States.ORCID https://orcid.org/0000-0001-7693-5863
Donna M HurynUniversity of Pittsburgh Chemical Diversity Center, University of Pittsburgh, Pittsburgh, Pennsylvania 15260, United States.ORCID https://orcid.org/0000-0001-5542-4968
University of Pittsburgh · USLeidos (United States) · USCalifornia Institute of Technology · US

Funding

CCR NIH HHS HHSN261200800001CNCI NIH HHS HHSN261200800001E
6 · The paper itself

Abstract

The AAA+ ATPase p97 (valosin-containing protein, VCP) is a master regulator of protein homeostasis and therefore represents a novel target for cancer therapy. Starting from a known allosteric inhibitor, NMS-873, we systematically optimized this scaffold, in particular, by applying a benzene-to-acetylene isosteric replacement strategy, specific incorporation of F, and eutomer/distomer identification, which led to compounds that exhibited nanomolar biochemical and cell-based potency. In cellular pharmacodynamic assays, robust effects on biomarkers of p97 inhibition and apoptosis, including increased levels of ubiquitinated proteins, CHOP and cleaved caspase 3, were observed. Compound (

Identifiers

PMID37465292
PMCPMC10351062
OpenAlexW4381510616

What Socratic holds

Textmetadata
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.