Evidence map›Paper›PMID 34298961›Full record

ArticleInternational journal of molecular sciences2021

Protein-Protein Docking with Large-Scale Backbone Flexibility Using Coarse-Grained Monte-Carlo Simulations.

Mateusz Kurcinski, Sebastian Kmiecik, Mateusz Zalewski, Andrzej Kolinski

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Bridging Scales: Coarse-Grained Protein Models in Computational Biology.Advances in experimental medicine and biology · 2026
    Review
  2. Article
  3. Flexible Docking of Cyclic Peptides to Proteins Using CABS-dock.Journal of chemical theory and computation · 2025
    Article
  4. Assortment of Frontiers in Protein Science.International journal of molecular sciences · 2022
    Article
  5. Review
  6. 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

4 authors.

Mateusz KurcinskiBiological and Chemical Research Centre, Faculty of Chemistry, University of Warsaw, 02-089 Warsaw, Poland.
Sebastian KmiecikBiological and Chemical Research Centre, Faculty of Chemistry, University of Warsaw, 02-089 Warsaw, Poland.ORCID 0000-0001-7623-0935
Mateusz ZalewskiBiological and Chemical Research Centre, Faculty of Chemistry, University of Warsaw, 02-089 Warsaw, Poland.ORCID 0000-0002-3436-8829
Andrzej KolinskiBiological and Chemical Research Centre, Faculty of Chemistry, University of Warsaw, 02-089 Warsaw, Poland.ORCID 0000-0002-8830-2315

Funding

Narodowe Centrum Nauki 2019/33/B/NZ2/02100Narodowe Centrum Nauki MAESTRO2014/14/A/ST6/00088Narodowe Centrum Nauki UMO-2020/39/B/NZ2/01301
6 · The paper itself

Abstract

Most of the protein-protein docking methods treat proteins as almost rigid objects. Only the side-chains flexibility is usually taken into account. The few approaches enabling docking with a flexible backbone typically work in two steps, in which the search for protein-protein orientations and structure flexibility are simulated separately. In this work, we propose a new straightforward approach for docking sampling. It consists of a single simulation step during which a protein undergoes large-scale backbone rearrangements, rotations, and translations. Simultaneously, the other protein exhibits small backbone fluctuations. Such extensive sampling was possible using the CABS coarse-grained protein model and Replica Exchange Monte Carlo dynamics at a reasonable computational cost. In our proof-of-concept simulations of 62 protein-protein complexes, we obtained acceptable quality models for a significant number of cases.

Indexed as

Molecular Docking SimulationMolecular Dynamics SimulationProtein FoldingMonte Carlo MethodProteinsProteinscoarse-grained modelingmultiscale modelingprotein–protein bindingprotein–protein complexprotein–protein interactions

Identifiers

PMID34298961
PMCPMC8306105

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Registered trials

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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.