Evidence map›Paper›PMID 26766929›Full record

ArticleMultiscale modeling & simulation : a SIAM interdisciplinary journal

CONSTRUCTING SURROGATE MODELS OF COMPLEX SYSTEMS WITH ENHANCED SPARSITY: QUANTIFYING THE INFLUENCE OF CONFORMATIONAL UNCERTAINTY IN BIOMOLECULAR SOLVATION.

H Lei, X Yang, B Zheng, G Lin, N A Baker

Open access · greenAbstract read
In one paragraph

Article in Multiscale modeling & simulation : a SIAM interdisciplinary journal. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
4.1field-weighted citation impact, top 4% of its field
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

8 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Viral Capsid Assembly: A Quantified Uncertainty Approach.Journal of computational biology : a journal of computational molecular cell biology · 2018
    Article
  5. Article
  6. Uncertainty Quantified Computational Analysis of the Energetics of Virus Capsid Assembly.Proceedings. IEEE International Conference on Bioinformatics and Biomedicine · 2016
    Article
  7. Statistical Framework for Uncertainty Quantification in Computational Molecular Modeling.ACM-BCB ... ... : the ... ACM Conference on Bioinformatics, Computational Biology and Biomedicine. ACM Conference on Bioinformatics, Computational Biology and Biomedicine · 2016
    Article
  8. Statistical Framework for Uncertainty Quantification in Computational Molecular Modeling.IEEE/ACM transactions on computational biology and bioinformatics
    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

5 authors at 1 institution in 1 country.

H LeiPacific Northwest National Laboratory, Richland, Washington WA 99352, USA.
X YangPacific Northwest National Laboratory, Richland, Washington WA 99352, USA.
B ZhengPacific Northwest National Laboratory, Richland, Washington WA 99352, USA.
G LinDepartment of Mathematics, Purdue University, West Lafayette, IN 47906, USA.
N A BakerPacific Northwest National Laboratory, Richland, Washington WA 99352, USA.
Purdue University West Lafayette · US

Funding

APBS: NANOSCALE BIOMOLECULAR ELECTROSTATICS SOFTWARER01GM069702 · NIGMS · WASHINGTON UNIVERSITY · PI BAKER, NATHAN A. · 2004 to 2021
$6.2M
NIGMS NIH HHS R01 GM069702
6 · The paper itself

Abstract

Biomolecules exhibit conformational fluctuations near equilibrium states, inducing uncertainty in various biological properties in a

Indexed as

biomolecular conformation fluctuationcompressive sensing methodmodel reductionpolynomial chaosuncertainty quantification

Identifiers

PMID26766929
PMCPMC4707684
OpenAlexW2618422357

What OpenQuestion holds

Textmetadata
LicenceTDM
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.