Evidence map›Paper›PMID 34136757›Full record

ArticleACS pharmacology & translational science2021

A Blueprint for High Affinity SARS-CoV-2 Mpro Inhibitors from Activity-Based Compound Library Screening Guided by Analysis of Protein Dynamics.

Jonas Gossen, Simone Albani, Anton Hanke, Benjamin P Joseph, Cathrine Bergh, Maria Kuzikov, Elisa Costanzi, Candida Manelfi, Paola Storici, Philip Gribbon and 10 more

Open access · greenAbstract read
In one paragraph

Article in ACS pharmacology & translational science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
8.6field-weighted citation impact, top 2% 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

32 citing papers in PubMed, 65 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. SARS-CoV-2 3CLPro Dihedral Angles Reveal Allosteric Signaling.bioRxiv : the preprint server for biology · 2024
    Article
  8. Consensus Pharmacophore Strategy For Identifying Novel SARS-Cov-2 MJournal of chemical information and modeling · 2024
    Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Elettra-Sincrotrone Trieste: present and future.European physical journal plus · 2023
    Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Article
  19. Pre-exascale HPC approaches for molecular dynamics simulations. Covid-19 research: A use case.Wiley interdisciplinary reviews. Computational molecular science · 2022
    Article
  20. 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

20 authors at 10 institutions in 3 countries.

Jonas GossenInstitute for Neuroscience and Medicine (INM-9), Forschungszentrum Jülich, Jülich, 52425, Germany.ORCID 0000-0002-0730-6796
Simone AlbaniInstitute for Neuroscience and Medicine (INM-9), Forschungszentrum Jülich, Jülich, 52425, Germany.
Anton HankeMolecular and Cellular Modeling Group, Heidelberg Institute for Theoretical Studies (HITS), Schloss-Wolfsbrunnenweg 35, Heidelberg, 69118, Germany.
Benjamin P JosephInstitute for Neuroscience and Medicine (INM-9), Forschungszentrum Jülich, Jülich, 52425, Germany.
Cathrine BerghScience for Life Laboratory & Swedish e-Science Research Center, Department of Applied Physics, KTH Royal Institute of Technology, Stockholm, 11428, Sweden.
Maria KuzikovDepartment of Screening Port, Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, Schnackenburgallee 114, Hamburg, 22525, Germany.ORCID 0000-0001-8771-1865
Elisa CostanziElettra-Sincrotrone Trieste S.C.p.A., SS 14-km 163,5 in AREA Science Park, Basovizza, Trieste, 34149, Italy.
Candida ManelfiDompé Farmaceutici SpA, Via Campo di Pile, L'Aquila, 67100, Italy.
Paola StoriciElettra-Sincrotrone Trieste S.C.p.A., SS 14-km 163,5 in AREA Science Park, Basovizza, Trieste, 34149, Italy.
Philip GribbonDepartment of Screening Port, Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, Schnackenburgallee 114, Hamburg, 22525, Germany.
Andrea R BeccariDompé Farmaceutici SpA, Via Campo di Pile, L'Aquila, 67100, Italy.
Carmine TalaricoDompé Farmaceutici SpA, Via Campo di Pile, L'Aquila, 67100, Italy.
Francesca SpyrakisDepartment of Drug Science and Technology, University of Turin, via Giuria 9, Turin, 10125, Italy.ORCID 0000-0002-4016-227X
Erik LindahlScience for Life Laboratory & Swedish e-Science Research Center, Department of Applied Physics, KTH Royal Institute of Technology, Stockholm, 11428, Sweden.
Andrea ZalianiDepartment of Screening Port, Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, Schnackenburgallee 114, Hamburg, 22525, Germany.ORCID 0000-0002-1740-8390
Paolo CarloniInstitute for Neuroscience and Medicine (INM-9), Forschungszentrum Jülich, Jülich, 52425, Germany.ORCID 0000-0002-9010-0149
Rebecca C WadeMolecular and Cellular Modeling Group, Heidelberg Institute for Theoretical Studies (HITS), Schloss-Wolfsbrunnenweg 35, Heidelberg, 69118, Germany.ORCID 0000-0001-5951-8670
Francesco MusianiLaboratory of Bioinorganic Chemistry, Department of Pharmacy and Biotechnology, University of Bologna, Bologna, 40126, Italy.ORCID 0000-0003-0200-1712
Daria B KokhMolecular and Cellular Modeling Group, Heidelberg Institute for Theoretical Studies (HITS), Schloss-Wolfsbrunnenweg 35, Heidelberg, 69118, Germany.ORCID 0000-0002-4687-6572
Giulia RossettiInstitute for Neuroscience and Medicine (INM-9), Forschungszentrum Jülich, Jülich, 52425, Germany.ORCID 0000-0002-2032-4630
Forschungszentrum Jülich · DEDompé (Italy) · ITFraunhofer Institute for Translational Medicine and Pharmacology · DEElettra-Sincrotrone Trieste S.C.p.A. · ITHeidelberg University · DEHeidelberg Institute for Theoretical Studies · DEScience for Life Laboratory · SEStockholm University · SEUniversity of Bologna · ITUniversity of Turin · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The SARS-CoV-2 coronavirus outbreak continues to spread at a rapid rate worldwide. The main protease (Mpro) is an attractive target for anti-COVID-19 agents. Unexpected difficulties have been encountered in the design of specific inhibitors. Here, by analyzing an ensemble of ∼30 000 SARS-CoV-2 Mpro conformations from crystallographic studies and molecular simulations, we show that small structural variations in the binding site dramatically impact ligand binding properties. Hence, traditional druggability indices fail to adequately discriminate between highly and poorly druggable conformations of the binding site. By performing ∼200 virtual screenings of compound libraries on selected protein structures, we redefine the protein's druggability as the consensus chemical space arising from the multiple conformations of the binding site formed upon ligand binding. This procedure revealed a unique SARS-CoV-2 Mpro blueprint that led to a definition of a specific structure-based pharmacophore. The latter explains the poor transferability of potent SARS-CoV Mpro inhibitors to SARS-CoV-2 Mpro, despite the identical sequences of the active sites. Importantly, application of the pharmacophore predicted novel high affinity inhibitors of SARS-CoV-2 Mpro, that were validated by

Identifiers

PMID34136757
PMCPMC8009102
OpenAlexW3137642652

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.