Evidence map›Paper›PMID 21904437›Full record

ArticleBioinformation2011

ValFold: Program for the aptamer truncation process.

Joe Akitomi, Shintaro Kato, Yoshihito Yoshida, Katsunori Horii, Makio Furuichi, Iwao Waga

Open access · hybridAbstract read
In one paragraph

Article in Bioinformation, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.5field-weighted citation impact, top 35% 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

9 citing papers in PubMed, 30 citations in OpenAlex.

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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

6 authors.

Joe AkitomiVALWAY Technology Center, NEC Soft, Ltd., 1-18-7, Shinkiba Koto-ku, Tokyo 136-8627, Japan.
Shintaro Kato
Yoshihito Yoshida
Katsunori Horii
Makio Furuichi
Iwao Waga

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

unlabelledDNA or RNA aptamers have gained attention as the next generation antibody-like molecules for medical or diagnostic use. Conventional secondary structure prediction tools for nucleic acids play an important role to truncate or minimize sequence, or introduce limited chemical modifications without compromising or changing its binding affinity to targets in the design of improved aptamers selected by Systematic Evolution of Ligands by EXponential enrichment (SELEX). We describe a novel software package, ValFold, capable of predicting secondary structures with improved accuracy based on unique aptamer characteristics. ValFold predicts not only the canonical Watson-Crick pairs but also G-G pairs derived from G-quadruplex (known structure for many aptamers) using the stem candidate selection algorithm. AVAILABILITY: The database is available for free at http://code.google.com/p/valfold/

Indexed as

aptameraptamer truncationsecondary structure predictionSELEX

Identifiers

PMID21904437
PMCPMC3163931
OpenAlexW2027940369

What OpenQuestion holds

Textmetadata
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.