Evidence map›Paper›PMID 42334227›Full record

ArticleAnalytical chemistry2026

Decoding Enzyme-Inhibitor Kinetic Mechanisms by Isothermal Titration Calorimetry: The Case of SARS-CoV-2 3CL

Luca Mazzei, Sofia Ranieri, Davide Silvestri, Gaetano T Montelione, Stefano Ciurli

Abstract read
In one paragraph

Article in Analytical chemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Slowly exchanging bound states of SARS-CoV-2 3CLStructural dynamics (Melville, N.Y.) · 2026
    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

5 authors.

Luca MazzeiLaboratory of Bioinorganic Chemistry, Department of Pharmacy and Biotechnology, University of Bologna, Bologna I-40127, Italy.ORCID 0000-0003-1335-9365
Sofia RanieriLaboratory of Bioinorganic Chemistry, Department of Pharmacy and Biotechnology, University of Bologna, Bologna I-40127, Italy.ORCID 0009-0001-9046-4903
Davide SilvestriLaboratory of Bioinorganic Chemistry, Department of Pharmacy and Biotechnology, University of Bologna, Bologna I-40127, Italy.ORCID 0009-0002-1852-5131
Gaetano T MontelioneCenter for Biotechnology and Interdisciplinary Sciences, Rensselaer Polytechnic Institute, Troy, New York 12180, United States.ORCID 0000-0002-9440-3059
Stefano CiurliLaboratory of Bioinorganic Chemistry, Department of Pharmacy and Biotechnology, University of Bologna, Bologna I-40127, Italy.ORCID 0000-0001-9557-926X

Funding

Hybrid Methods for Dynamic Structure Analysis of Proteins from Pathogenic MicroorganismsR35GM141818 · NIGMS · RENSSELAER POLYTECHNIC INSTITUTE · PI MONTELIONE, GAETANO T · 2021 to 2025
$3.3M
NIGMS NIH HHS R35 GM141818
6 · The paper itself

Abstract

Accurate kinetic and thermodynamic characterization of enzyme inhibitors remains difficult because conventional activity assays can miss nonequilibrium behavior and provide limited mechanistic resolution. Here, we present an inverse single-injection isothermal titration calorimetry (ITC) workflow that extracts qualitative and quantitative inhibition parameters directly from heat-flow traces by distinguishing rapid reversible, tight-, or slow-binding, and covalent inhibition within a single experimental format. The inhibition of SARS-CoV-2 main protease (3CL

Indexed as

Antiviral AgentsCalorimetryCoronavirus 3C ProteasesProtease InhibitorsSARS-CoV-2Azabicyclo CompoundsHumansKineticsPyrrolidinonesThermodynamics3C-like proteinase, SARS-CoV-2Antiviral AgentsAzabicyclo CompoundsCoronavirus 3C ProteasesnirmatrelvirProtease InhibitorsPyrrolidinones

Identifiers

PMID42334227
PMCPMC13347698

What OpenQuestion holds

Textmetadata
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.