Evidence map›Paper›PMID 27793081›Full record

ArticleBMC bioinformatics2016

An analysis of simple computational strategies to facilitate the design of functional molecular information processors.

Yiling Lee, Rozieffa Roslan, Shariza Azizan, Mohd Firdaus-Raih, Effirul I Ramlan

Abstract read
In one paragraph

Article in BMC bioinformatics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Yiling LeeNatural Computing Laboratory, Department of Artificial Intelligence, Faculty of Computer Science and Information Technology, University of Malaya, 50603, Kuala Lumpur, Malaysia.
Rozieffa RoslanSchool of Biosciences & Biotechnology, Faculty of Science & Technology, and Institute of Systems Biology, Universiti Kebangsaan Malaysia, 43600, Bangi, Malaysia.
Shariza AzizanBioscience Institute, Universiti Putra Malaysia, 43400, Serdang, Selangor, Malaysia.
Mohd Firdaus-RaihSchool of Biosciences & Biotechnology, Faculty of Science & Technology, and Institute of Systems Biology, Universiti Kebangsaan Malaysia, 43600, Bangi, Malaysia. firdaus@mfrlab.org.
Effirul I RamlanNatural Computing Laboratory, Department of Artificial Intelligence, Faculty of Computer Science and Information Technology, University of Malaya, 50603, Kuala Lumpur, Malaysia. effirul@um.edu.my.ORCID http://orcid.org/0000-0002-8150-4782

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBiological macromolecules (DNA, RNA and proteins) are capable of processing physical or chemical inputs to generate outputs that parallel conventional Boolean logical operators. However, the design of functional modules that will enable these macromolecules to operate as synthetic molecular computing devices is challenging.

resultsUsing three simple heuristics, we designed RNA sensors that can mimic the function of a seven-segment display (SSD). Ten independent and orthogonal sensors representing the numerals 0 to 9 are designed and constructed. Each sensor has its own unique oligonucleotide binding site region that is activated uniquely by a specific input. Each operator was subjected to a stringent in silico filtering. Random sensors were selected and functionally validated via ribozyme self cleavage assays that were visualized via electrophoresis.

conclusionsBy utilising simple permutation and randomisation in the sequence design phase, we have developed functional RNA sensors thus demonstrating that even the simplest of computational methods can greatly aid the design phase for constructing functional molecular devices.

Indexed as

Computational BiologyComputer SimulationElectrophoresis, Polyacrylamide GelReproducibility of ResultsRNARNA, CatalyticRNARNA, CatalyticComputational RNAMolecular computingMolecular logic circuitMolecular programmingRNA computing

Identifiers

PMID27793081
PMCPMC5086070

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.