Evidence map›Paper›PMID 19199488›Full record

ArticleNano letters2009

Computational validation of protein nanotubes.

Idit Buch, Bernard R Brooks, Haim J Wolfson, Ruth Nussinov

Abstract read
In one paragraph

Article in Nano letters, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Idit BuchDepartment of Human Molecular Genetics and Biochemistry, Sackler Institute of Molecular Medicine, Sackler Faculty of Medicine, School of Computer Science, Raymond and Beverly Sackler Faculty of Exact Sciences, Tel Aviv University, Tel Aviv 69978, Israel.
Bernard R Brooks
Haim J Wolfson
Ruth Nussinov

Funding

Development Of Theoretical Methods For Studying Biological MacromoleculesZIAHL001051 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI BROOKS, BERNARD R · 2009 to 2025
$16.2M
Molecular Dynamics Simulations Of Biological MacromoleculesZIAHL001050 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI BROOKS, BERNARD R · 2009 to 2025
$12.9M
Protein Structure, Stability, and Amyloid FormationZIABC010440 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI NUSSINOV, RUTH · 2009 to 2025
$11.8M
Method Development: Efficient Computer Vision Based AlgorithmsZIABC010442 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI NUSSINOV, RUTH · 2009 to 2025
$2.4M
Intramural NIH HHS ZIA HL001051NCI NIH HHS N01 CO012400NCI NIH HHS N01-CO-12400
6 · The paper itself

Abstract

We present a novel generic computational method to assess protein nanotubes with variable diameter sizes at the atomic level given their low resolution protomeric structures. The method is based on the symmetrical assembly of a repeating protein subunit into a nanotube. Given the protein unit-cell, and the tube diameter and helicity, we carry out all-atom molecular dynamics simulations, combined with a unique mathematical transformation. This allows us to mimic nanotubes of even huge sizes without end or edge effects. All our simulation setups attempt to explicitly adhere to the conditions under which the experiments were conducted. Thus, we are able to obtain high resolution atomic-scale structures at reasonable computational costs. We expect that our approach would prove useful in assessing protein nanotubes, as well as in silico constructions of novel nanobiomaterials.

Indexed as

AlgorithmsBiocompatible MaterialsComputational BiologyComputer SimulationHIV-1Models, StatisticalMolecular ConformationNanocompositesNanotechnologyNanotubesPeptidesProteinsSoftwareViral ProteinsBiocompatible MaterialsPeptidesProteinsViral Proteins

Identifiers

PMID19199488
PMCPMC3536542

What OpenQuestion holds

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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.