ArticleArchiv der Pharmazie2025
Support Vector Machine Identification of Small Molecule Binders to an Understudied Allosteric Site of SARS-CoV-2 Mpro for Next-Generation PROTAC-Based Therapeutics.
Article in Archiv der Pharmazie, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
Corrections and comments
- Erratum issued
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The emergence of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has underscored the urgent need for novel antiviral strategies. One of the primary targets of interest is the SARS-CoV-2 main protease (Mpro), which plays a crucial role in viral replication. Building on our prior work involving machine learning (ML)-based virtual screening for potential Mpro inhibitors, we sought to experimentally validate top-ranked candidates. Microscale thermophoresis (MST) was used to assess the binding affinity, leading to the identification of three promising hits from a library of 180 compounds. Notably, one compound demonstrated high-affinity binding to SARS-CoV-2 Mpro (K
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.