Evidence map›Paper›PMID 19956577›Full record

ArticlePloS one2009

Generating triangulated macromolecular surfaces by Euclidean Distance Transform.

Dong Xu, Yang Zhang

Abstract read
In one paragraph

Article in PloS one, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing 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

60 citing papers in PubMed.

  1. Article
  2. Patch-Based Ray Tracing in NanoShaper Boosts Molecular Surface Computation.Journal of chemical information and modeling · 2026
    Article
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  5. Article
  6. A Complementarity-Based Approach to De Novo Binder Design.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  7. Article
  8. Article
  9. Structure-Based Prediction of lncRNA-Protein Interactions by Deep Learning.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  10. PLO3S: Protein LOcal Surficial Similarity Screening.Computational and structural biotechnology journal · 2024
    Article
  11. Article
  12. Assessing Protein Surface-Based Scoring for Interpreting Genomic Variants.International journal of molecular sciences · 2024
    Article
  13. Article
  14. Article
  15. Selectivity of Complex Coacervation in Multi-Protein Mixtures.bioRxiv : the preprint server for biology · 2024
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 3β-Corner Stability by Comparative Molecular Dynamics Simulations.International journal of molecular sciences · 2022
    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

2 authors.

Dong XuCenter for Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, United States of America.
Yang Zhang

Funding

I-TASSER based atomic-level protein structure predictionR01GM083107 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ZHANG, YANG · 2008 to 2019
$3.5M
Atomic-level, large-scale structure prediction of G protein-coupled receptorsR01GM084222 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ZHANG, YANG · 2009 to 2012
$1.3M
NIGMS NIH HHS GM083107NIGMS NIH HHS GM084222NIGMS NIH HHS R01 GM083107NIGMS NIH HHS R01 GM084222
6 · The paper itself

Abstract

Macromolecular surfaces are fundamental representations of their three-dimensional geometric shape. Accurate calculation of protein surfaces is of critical importance in the protein structural and functional studies including ligand-protein docking and virtual screening. In contrast to analytical or parametric representation of macromolecular surfaces, triangulated mesh surfaces have been proved to be easy to describe, visualize and manipulate by computer programs. Here, we develop a new algorithm of EDTSurf for generating three major macromolecular surfaces of van der Waals surface, solvent-accessible surface and molecular surface, using the technique of fast Euclidean Distance Transform (EDT). The triangulated surfaces are constructed directly from volumetric solids by a Vertex-Connected Marching Cube algorithm that forms triangles from grid points. Compared to the analytical result, the relative error of the surface calculations by EDTSurf is <2-4% depending on the grid resolution, which is 1.5-4 times lower than the methods in the literature; and yet, the algorithm is faster and costs less computer memory than the comparative methods. The improvements in both accuracy and speed of the macromolecular surface determination should make EDTSurf a useful tool for the detailed study of protein docking and structure predictions. Both source code and the executable program of EDTSurf are freely available at http://zhang.bioinformatics.ku.edu/EDTSurf.

Indexed as

AlgorithmsChaperoninsMacromolecular SubstancesModels, MolecularSurface PropertiesTime FactorsChaperoninsMacromolecular Substances

Identifiers

PMID19956577
PMCPMC2779860

What OpenQuestion holds

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LicenceCC BY
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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.