Evidence map›Paper›PMID 36027618›Full record

ArticleTalanta2023

An integrated metabolomic and proteomic approach for the identification of covalent inhibitors of the main protease (M

Giovanna Baron, Sofia Borella, Larissa Della Vedova, Serena Vittorio, Giulio Vistoli, Marina Carini, Giancarlo Aldini, Alessandra Altomare

Abstract read
In one paragraph

Article in Talanta, 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
–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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Screening of MMolecules (Basel, Switzerland) · 2024
    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

8 authors.

Giovanna BaronDepartment of Pharmaceutical Sciences (DISFARM), Università degli Studi di Milano, Via Mangiagalli 25, 20133, Milan, Italy. Electronic address: giovanna.baron@unimi.it.
Sofia BorellaDepartment of Pharmaceutical Sciences (DISFARM), Università degli Studi di Milano, Via Mangiagalli 25, 20133, Milan, Italy. Electronic address: sofia.borella@studenti.unimi.it.
Larissa Della VedovaDepartment of Pharmaceutical Sciences (DISFARM), Università degli Studi di Milano, Via Mangiagalli 25, 20133, Milan, Italy. Electronic address: larissa.dellavedova@unimi.it.
Serena VittorioDepartment of Pharmaceutical Sciences (DISFARM), Università degli Studi di Milano, Via Mangiagalli 25, 20133, Milan, Italy. Electronic address: serena.vittorio@unimi.it.
Giulio VistoliDepartment of Pharmaceutical Sciences (DISFARM), Università degli Studi di Milano, Via Mangiagalli 25, 20133, Milan, Italy. Electronic address: giulio.vistoli@unimi.it.
Marina CariniDepartment of Pharmaceutical Sciences (DISFARM), Università degli Studi di Milano, Via Mangiagalli 25, 20133, Milan, Italy. Electronic address: marina.carini@unimi.it.
Giancarlo AldiniDepartment of Pharmaceutical Sciences (DISFARM), Università degli Studi di Milano, Via Mangiagalli 25, 20133, Milan, Italy. Electronic address: giancarlo.aldini@unimi.it.
Alessandra AltomareDepartment of Pharmaceutical Sciences (DISFARM), Università degli Studi di Milano, Via Mangiagalli 25, 20133, Milan, Italy. Electronic address: alessandra.altomare@unimi.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

M

Indexed as

COVID-19 Drug TreatmentSARS-CoV-2AnimalsAntiviral AgentsComplex MixturesCoronavirus 3C ProteasesMolecular Docking SimulationPeptide HydrolasesProtease InhibitorsProteomicsAntiviral AgentsComplex MixturesCoronavirus 3C ProteasesPeptide HydrolasesProtease InhibitorsCovalent binderMass spectrometryMetabolomicsM(pro)ProteomicsSARS-CoV-2

Identifiers

PMID36027618
PMCPMC9371774

What OpenQuestion 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 OpenQuestion graph.