Evidence map›Paper›PMID 19026662›Full record

ArticleJournal of molecular biology2009

OPUS-Dom: applying the folding-based method VECFOLD to determine protein domain boundaries.

Yinghao Wu, Athanasios D Dousis, Mingzhi Chen, Jialin Li, Jianpeng Ma

Abstract read
In one paragraph

Article in Journal of molecular biology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

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0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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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

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3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Protein domain identification methods and online resources.Computational and structural biotechnology journal · 2021
    Review
  5. Article
  6. Article
  7. Article
  8. Article
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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.

Yinghao WuDepartment of Bioengineering, Rice University, Houston, TX 77005, USA.
Athanasios D Dousis
Mingzhi Chen
Jialin Li
Jianpeng Ma

Funding

TRAINING PROGRAM IN COMPUTATIONAL BIOLOGY AND MEDICINET15LM007093 · NLM · RICE UNIVERSITY · PI Lydia E. Kavraki · 1992 to 2026
$20.8M
New Simulation Methods at Multi-Scales and -ResolutionsR01GM067801 · NIGMS · BAYLOR COLLEGE OF MEDICINE · PI MA, JIANPENG · 2003 to 2015
$3.4M
NIGMS NIH HHS R01 GM067801NIGMS NIH HHS R01-GM067801NLM NIH HHS 5T15LM07093NLM NIH HHS T15 LM007093
6 · The paper itself

Abstract

In this article, we present a de novo method for predicting protein domain boundaries, called OPUS-Dom. The core of the method is a novel coarse-grained folding method, VECFOLD, which constructs low-resolution structural models from a target sequence by folding a chain of vectors representing the predicted secondary-structure elements. OPUS-Dom generates a large ensemble of folded structure decoys by VECFOLD and labels the domain boundaries of each decoy by a domain parsing algorithm. Consensus domain boundaries are then derived from the statistical distribution of the putative boundaries and three empirical sequence-based domain profiles. OPUS-Dom generally outperformed several state-of-the-art domain prediction algorithms over various benchmark protein sets. Even though each VECFOLD-generated structure contains large errors, collectively these structures provide a more robust delineation of domain boundaries. The success of OPUS-Dom suggests that the arrangement of protein domains is more a consequence of limited coordination patterns per domain arising from tertiary packing of secondary-structure segments, rather than sequence-specific constraints.

Indexed as

AlgorithmsProtein FoldingComputational BiologyHumansProteinsProtein Structure, SecondaryProtein Structure, TertiaryProto-Oncogene Proteins c-mycSequence Analysis, ProteinProteinsProto-Oncogene Proteins c-myc

Identifiers

PMID19026662
PMCPMC2753268

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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.