Evidence map›Paper›PMID 33363707›Full record

ArticleComputational and structural biotechnology journal2021

2D Zernike polynomial expansion: Finding the protein-protein binding regions.

Edoardo Milanetti, Mattia Miotto, Lorenzo Di Rienzo, Michele Monti, Giorgio Gosti, Giancarlo Ruocco

Abstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

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3 · Its place in the literature

Who cites it

28 citing papers in PubMed.

  1. Article
  2. Article
  3. Beyond contacts: The important role of the support region in protein complex assembly.Protein science : a publication of the Protein Society · 2026
    Article
  4. Article
  5. A Complementarity-Based Approach to De Novo Binder Design.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  6. Article
  7. Article
  8. PLO3S: Protein LOcal Surficial Similarity Screening.Computational and structural biotechnology journal · 2024
    Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. SiteFerret: Beyond Simple Pocket Identification in Proteins.Journal of chemical theory and computation · 2023
    Article
  16. Article
  17. Article
  18. Article
  19. 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

6 authors.

Edoardo MilanettiDepartment of Physics, Sapienza University, Piazzale Aldo Moro 5, 00185 Rome, Italy.
Mattia MiottoDepartment of Physics, Sapienza University, Piazzale Aldo Moro 5, 00185 Rome, Italy.
Lorenzo Di RienzoCenter for Life Nanoscience, Istituto Italiano di Tecnologia, Viale Regina Elena 291, 00161 Rome, Italy.
Michele MontiCentre for Genomic Regulation (CRG), The Barcelona Institute for Science and Technology, Dr. Aiguader 88, 08003 Barcelona, Spain.
Giorgio GostiCenter for Life Nanoscience, Istituto Italiano di Tecnologia, Viale Regina Elena 291, 00161 Rome, Italy.
Giancarlo RuoccoDepartment of Physics, Sapienza University, Piazzale Aldo Moro 5, 00185 Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present a method for efficiently and effectively assessing whether and where two proteins can interact with each other to form a complex. This is still largely an open problem, even for those relatively few cases where the 3D structure of both proteins is known. In fact, even if much of the information about the interaction is encoded in the chemical and geometric features of the structures, the set of possible contact patches and of their relative orientations are too large to be computationally affordable in a reasonable time, thus preventing the compilation of reliable interactome. Our method is able to rapidly and quantitatively measure the geometrical shape complementarity between interacting proteins, comparing their molecular iso-electron density surfaces expanding the surface patches in term of 2D Zernike polynomials. We first test the method against the real binding region of a large dataset of known protein complexes, reaching a success rate of 0.72. We then apply the method for the blind recognition of binding sites, identifying the real region of interaction in about

Indexed as

Molecular surfaceProtein-protein interactionsShape complementarity

Identifiers

PMID33363707
PMCPMC7750141

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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.