Evidence map›Paper›PMID 27293306›Full record

ArticleTheoretical computer science2016

A strand graph semantics for DNA-based computation.

Rasmus L Petersen, Matthew R Lakin, Andrew Phillips

Abstract read
In one paragraph

Article in Theoretical computer science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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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

3 authors.

Rasmus L PetersenMicrosoft Research, Cambridge, UK.
Matthew R LakinDepartment of Computer Science, University of New Mexico, Albuquerque, NM, USA.
Andrew PhillipsMicrosoft Research, Cambridge, UK.

Funding

Integrative Cancer Nanoscience and Microsystems (IC-NSMS) Training CenterR25CA153825 · NCI · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI DATYE, ABHAYA KRISHNA, OLIVER, JANET M. · 2010 to 2014
$1.8M
Amplified detection of viral RNA using catalytic DNA logic circuitsR21AI115105 · NIAID · UNIVERSITY OF NEW MEXICO · PI GRAVES, STEVEN W · 2015 to 2016
$378k
NCI NIH HHS R25 CA153825NIAID NIH HHS R21 AI115105
6 · The paper itself

Abstract

DNA nanotechnology is a promising approach for engineering computation at the nanoscale, with potential applications in biofabrication and intelligent nanomedicine. DNA strand displacement is a general strategy for implementing a broad range of nanoscale computations, including any computation that can be expressed as a chemical reaction network. Modelling and analysis of DNA strand displacement systems is an important part of the design process, prior to experimental realisation. As experimental techniques improve, it is important for modelling languages to keep pace with the complexity of structures that can be realised experimentally. In this paper we present a process calculus for modelling DNA strand displacement computations involving rich secondary structures, including DNA branches and loops. We prove that our calculus is also sufficiently expressive to model previous work on non-branching structures, and propose a mapping from our calculus to a canonical

Indexed as

biological computationDNA computingmolecular programmingprocess calculusprogramming languagesite graphstrand graph

Identifiers

PMID27293306
PMCPMC4896506

What OpenQuestion holds

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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.