Evidence map›Paper›PMID 15333695›Full record

ArticleNucleic acids research2004

Rational design of DNA sequences for nanotechnology, microarrays and molecular computers using Eulerian graphs.

Petr Pancoska, Zdenek Moravek, Ute M Moll

Abstract read
In one paragraph

Article in Nucleic acids research, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

3 authors.

Petr PancoskaDepartment of Pathology, Stony Brook University, New York, NY 11794, USA. ppancoska@notes.cc.sunysb.edu
Zdenek Moravek
Ute M Moll

Funding

The role of p63 and p73 in cancerR01CA093853 · NCI · STATE UNIVERSITY NEW YORK STONY BROOK · PI MOLL, UTE MARTHA · 2002 to 2012
$3.1M
NCI NIH HHS 1R01CA93853NCI NIH HHS 2R01CA0600664NCI NIH HHS R01 CA093853
6 · The paper itself

Abstract

Nucleic acids are molecules of choice for both established and emerging nanoscale technologies. These technologies benefit from large functional densities of 'DNA processing elements' that can be readily manufactured. To achieve the desired functionality, polynucleotide sequences are currently designed by a process that involves tedious and laborious filtering of potential candidates against a series of requirements and parameters. Here, we present a complete novel methodology for the rapid rational design of large sets of DNA sequences. This method allows for the direct implementation of very complex and detailed requirements for the generated sequences, thus avoiding 'brute force' filtering. At the same time, these sequences have narrow distributions of melting temperatures. The molecular part of the design process can be done without computer assistance, using an efficient 'human engineering' approach by drawing a single blueprint graph that represents all generated sequences. Moreover, the method eliminates the necessity for extensive thermodynamic calculations. Melting temperature can be calculated only once (or not at all). In addition, the isostability of the sequences is independent of the selection of a particular set of thermodynamic parameters. Applications are presented for DNA sequence designs for microarrays, universal microarray zip sequences and electron transfer experiments.

Indexed as

Gene Expression ProfilingOligonucleotide Array Sequence AnalysisAlgorithmsBase SequenceComputational BiologyComputers, MolecularDNAElectronsModels, TheoreticalNanotechnologySequence Analysis, DNADNA

Identifiers

PMID15333695
PMCPMC516071

What OpenQuestion holds

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Registered trials

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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.