Evidence map›Paper›PMID 27471585›Full record

ArticleComputational and structural biotechnology journal2016

Sequence comparison, molecular modeling, and network analysis predict structural diversity in cysteine proteases from the Cape sundew, Drosera capensis.

Carter T Butts, Xuhong Zhang, John E Kelly, Kyle W Roskamp, Megha H Unhelkar, J Alfredo Freites, Seemal Tahir, Rachel W Martin

Open access · goldAbstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

14 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Long-read sequencing uncovers the adaptive topography of a carnivorous plant genome.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  13. Article
  14. 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

8 authors at 1 institution in 1 country.

Carter T ButtsDepartment of Sociology, UC Irvine, USA; Department of Sociology, UC Irvine, USA; Department of Electrical Engineering and Computer Science, UC Irvine, USA.
Xuhong ZhangDepartment of Sociology, UC Irvine, USA.
John E KellyDepartment of Chemistry, UC Irvine, USA.
Kyle W RoskampDepartment of Chemistry, UC Irvine, USA.
Megha H UnhelkarDepartment of Chemistry, UC Irvine, USA.
J Alfredo FreitesDepartment of Chemistry, UC Irvine, USA.
Seemal TahirDepartment of Chemistry, UC Irvine, USA.
Rachel W MartinDepartment of Chemistry, UC Irvine, USA; Department of Molecular Biology & Biochemistry, UC Irvine, Irvine, CA, 92697 USA.
University of California, Irvine · US

Funding

Univ.of Calif., Irvine Cancer Center Support GrantP30CA062203 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI Melanie Funes · 1994 to 2026
$57.9M
PacBio RS Single Molecule, Real-Time (SMRT) DNA SequencerS10OD010794 · OD · UNIVERSITY OF CALIFORNIA-IRVINE · PI SANDMEYER, SUZANNE · 2012 to 2012
$600k
High Throughput DNA SequencerS10RR025496 · NCRR · UNIVERSITY OF CALIFORNIA-IRVINE · PI SANDMEYER, SUZANNE · 2009 to 2009
$500k
NCI NIH HHS P30 CA062203NCRR NIH HHS S10 RR025496NIH HHS S10 OD010794
6 · The paper itself

Abstract

Carnivorous plants represent a so far underexploited reservoir of novel proteases with potentially useful activities. Here we investigate 44 cysteine proteases from the Cape sundew, Drosera capensis, predicted from genomic DNA sequences. D. capensis has a large number of cysteine protease genes; analysis of their sequences reveals homologs of known plant proteases, some of which are predicted to have novel properties. Many functionally significant sequence and structural features are observed, including targeting signals and occluding loops. Several of the proteases contain a new type of granulin domain. Although active site residues are conserved, the sequence identity of these proteases to known proteins is moderate to low; therefore, comparative modeling with all-atom refinement and subsequent atomistic MD-simulation is used to predict their 3D structures. The structure prediction data, as well as analysis of protein structure networks, suggest multifarious variations on the papain-like cysteine protease structural theme. This in silico methodology provides a general framework for investigating a large pool of sequences that are potentially useful for biotechnology applications, enabling informed choices about which proteins to investigate in the laboratory.

Indexed as

Carnivorous plantCysteine proteaseDigestive enzymeIn silico maturationMolecular dynamicsProtein sequence analysisProtein structure networkProtein structure predictionRosetta

Identifiers

PMID27471585
PMCPMC4949590
OpenAlexW2441602768

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.