Evidence map›Paper›PMID 22146221›Full record

ArticleNucleic acids research2012

Minimotif Miner 3.0: database expansion and significantly improved reduction of false-positive predictions from consensus sequences.

Tian Mi, Jerlin Camilus Merlin, Sandeep Deverasetty, Michael R Gryk, Travis J Bill, Andrew W Brooks, Logan Y Lee, Viraj Rathnayake, Christian A Ross, David P Sargeant and 4 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. The carboxy-terminus, a key regulator of protein function.Critical reviews in biochemistry and molecular biology · 2019
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Minimotifs dysfunction is pervasive in neurodegenerative disorders.Alzheimer's & dementia (New York, N. Y.) · 2018
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. The minimotif synthesis hypothesis for the origin of life.Journal of translational science · 2016
    Article
  17. Article
  18. Article
  19. Article
  20. Review
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

14 authors.

Tian MiDepartment of Computer Science and Engineering, University of Connecticut, Storrs, CT 06269-2155, USA.
Jerlin Camilus Merlin
Sandeep Deverasetty
Michael R Gryk
Travis J Bill
Andrew W Brooks
Logan Y Lee
Viraj Rathnayake
Christian A Ross
David P Sargeant
Christy L Strong
Paula Watts
Sanguthevar Rajasekaran
Martin R Schiller

Funding

UNDERGRADUATE RESEARCH AND TRAININGP20RR016464 · NCRR · UNIVERSITY OF NEVADA RENO · PI REIBER, CARL · 2001 to 2011
$30.3M
Efficient Algorithms for Motif SearchR01LM010101 · NLM · UNIVERSITY OF CONNECTICUT STORRS · PI RAJASEKARAN, SANGUTHEVAR · 2010 to 2013
$1.4M
Building motif lexiconsR01GM079689 · NIGMS · UNIVERSITY OF NEVADA LAS VEGAS · PI SCHILLER, MARTIN R · 2007 to 2010
$1.1M
NCRR NIH HHS RR016464NIGMS NIH HHS GM07689NIGMS NIH HHS R01GM079689NLM NIH HHS LM010101NLM NIH HHS R01 LM010101
6 · The paper itself

Abstract

Minimotif Miner (MnM available at http://minimotifminer.org or http://mnm.engr.uconn.edu) is an online database for identifying new minimotifs in protein queries. Minimotifs are short contiguous peptide sequences that have a known function in at least one protein. Here we report the third release of the MnM database which has now grown 60-fold to approximately 300,000 minimotifs. Since short minimotifs are by their nature not very complex we also summarize a new set of false-positive filters and linear regression scoring that vastly enhance minimotif prediction accuracy on a test data set. This online database can be used to predict new functions in proteins and causes of disease.

Indexed as

Amino Acid MotifsDatabases, ProteinAmino Acid SequenceConsensus SequenceModels, BiologicalProtein Interaction MapsProteinsSequence Analysis, ProteinProteins

Identifiers

PMID22146221
PMCPMC3245078

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.