Evidence map›Paper›PMID 32558561›Full record

ArticleJournal of chemical theory and computation2020

Bayesian Active Learning for Optimization and Uncertainty Quantification in Protein Docking.

Yue Cao, Yang Shen

Abstract read
In one paragraph

Article in Journal of chemical theory and computation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Advances to tackle backbone flexibility in protein docking.Current opinion in structural biology · 2021
    Review
  11. Article
  12. Article
  13. Learning to Optimize in Swarms.Advances in neural information processing systems · 2019
    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.

Yue CaoDepartment of Electrical and Computer Engineering, Texas A&M University, College Station, Texas 77843, United States.
Yang ShenDepartment of Electrical and Computer Engineering, Texas A&M University, College Station, Texas 77843, United States.ORCID http://orcid.org/0000-0002-1703-7796

Funding

Unraveling molecular and system-level mechanisms of human disease-associated protein mutationsR35GM124952 · NIGMS · TEXAS ENGINEERING EXPERIMENT STATION · PI Yang Shen · 2017 to 2026
$2.9M
NIGMS NIH HHS R35 GM124952
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Bayes TheoremMolecular Docking SimulationUncertaintyProteinsProteins

Identifiers

PMID32558561
PMCPMC7429362

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.