Evidence map›Paper›PMID 32709852›Full record

ArticleNature communications2020

Protein-ligand binding with the coarse-grained Martini model.

Paulo C T Souza, Sebastian Thallmair, Paolo Conflitti, Carlos Ramírez-Palacios, Riccardo Alessandri, Stefano Raniolo, Vittorio Limongelli, Siewert J Marrink

Abstract read
In one paragraph

Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 97 papers.

0numbers the graph read from it
0cells of the map it votes in
97citing 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

97 citing papers in PubMed.

  1. Article
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  8. Bridging Scales: Coarse-Grained Protein Models in Computational Biology.Advances in experimental medicine and biology · 2026
    Review
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  14. Review
  15. Article
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  19. Native globular ferritin nanopore sensor.Nature communications · 2025
    Article
  20. Article

37 more citing papers are in PubMed but not listed here.

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.

Paulo C T Souza *Groningen Biomolecular Sciences and Biotechnology Institute and Zernike Institute for Advanced Materials, University of Groningen, Nijenborgh 7, 9747 AG, Groningen, Netherlands. paulocts@gmail.com.ORCID http://orcid.org/0000-0003-0660-1301
Sebastian Thallmair *Groningen Biomolecular Sciences and Biotechnology Institute and Zernike Institute for Advanced Materials, University of Groningen, Nijenborgh 7, 9747 AG, Groningen, Netherlands.ORCID http://orcid.org/0000-0002-3396-5840
Paolo ConflittiFaculty of Biomedical Sciences, Institute of Computational Science, Università della Svizzera italiana (USI), via G. Buffi 13, CH-6900, Lugano, Switzerland.ORCID http://orcid.org/0000-0002-5440-6167
Carlos Ramírez-PalaciosGroningen Biomolecular Sciences and Biotechnology Institute and Zernike Institute for Advanced Materials, University of Groningen, Nijenborgh 7, 9747 AG, Groningen, Netherlands.ORCID http://orcid.org/0000-0003-2724-0760
Riccardo AlessandriGroningen Biomolecular Sciences and Biotechnology Institute and Zernike Institute for Advanced Materials, University of Groningen, Nijenborgh 7, 9747 AG, Groningen, Netherlands.ORCID http://orcid.org/0000-0003-1948-5311
Stefano RanioloFaculty of Biomedical Sciences, Institute of Computational Science, Università della Svizzera italiana (USI), via G. Buffi 13, CH-6900, Lugano, Switzerland.ORCID http://orcid.org/0000-0003-4835-8696
Vittorio LimongelliFaculty of Biomedical Sciences, Institute of Computational Science, Università della Svizzera italiana (USI), via G. Buffi 13, CH-6900, Lugano, Switzerland. vittoriolimongelli@gmail.com.ORCID http://orcid.org/0000-0002-4861-1199
Siewert J MarrinkGroningen Biomolecular Sciences and Biotechnology Institute and Zernike Institute for Advanced Materials, University of Groningen, Nijenborgh 7, 9747 AG, Groningen, Netherlands. s.j.marrink@rug.nl.ORCID http://orcid.org/0000-0001-8423-5277

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The detailed understanding of the binding of small molecules to proteins is the key for the development of novel drugs or to increase the acceptance of substrates by enzymes. Nowadays, computer-aided design of protein-ligand binding is an important tool to accomplish this task. Current approaches typically rely on high-throughput docking essays or computationally expensive atomistic molecular dynamics simulations. Here, we present an approach to use the recently re-parametrized coarse-grained Martini model to perform unbiased millisecond sampling of protein-ligand interactions of small drug-like molecules. Remarkably, we achieve high accuracy without the need of any a priori knowledge of binding pockets or pathways. Our approach is applied to a range of systems from the well-characterized T4 lysozyme over members of the GPCR family and nuclear receptors to a variety of enzymes. The presented results open the way to high-throughput screening of ligand libraries or protein mutations using the coarse-grained Martini model.

Indexed as

Molecular Dynamics SimulationProtein BindingBacteriophage T4BiophysicsComputational BiologyHigh-Throughput Screening AssaysLigandsMolecular Docking SimulationMuramidaseProtein ConformationProteinsThermodynamicsLigandsMuramidaseProteins

Identifiers

PMID32709852
PMCPMC7382508

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.