Evidence map›Paper›PMID 39891349›Full record

ArticleBioinformatics (Oxford, England)2025

DNAdesign: feature-aware in silico design of synthetic DNA through mutation.

Yingfei Wang, Jinsen Li, Tsu-Pei Chiu, Nicolas Gompel, Remo Rohs

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 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

5 authors.

Yingfei WangDepartment of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA 90089, United States.ORCID 0009-0004-0712-023X
Jinsen LiDepartment of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA 90089, United States.ORCID 0000-0002-1015-5263
Tsu-Pei ChiuDepartment of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA 90089, United States.ORCID 0000-0002-2472-6557
Nicolas GompelDepartment of Evolutionary Biology and Ecology, Bonn Institute for Organismic Biology, University of Bonn, Bonn 53115, Germany.ORCID 0000-0003-3358-7963
Remo RohsDepartment of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA 90089, United States.ORCID 0000-0003-1752-1884

Funding

Quantitative Modeling of Transcription Factor-DNA BindingR35GM130376 · NIGMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Remo Rohs · 2019 to 2026
$3.3M
Human Frontier Science Program RGP0021/2018NIGMS NIH HHS R35 GM130376
6 · The paper itself

Abstract

motivationDNA sequence and shape readout represent different modes of protein-DNA recognition. Current tools lack the functionality to simultaneously consider alterations in different readout modes caused by sequence mutations. DNAdesign is a web-based tool to compare and design mutations based on both DNA sequence and shape characteristics. Users input a wild-type sequence, select sites to introduce mutations and choose a set of DNA shape parameters for mutation design.

resultsDNAdesign utilizes Deep DNAshape to provide ultra-fast predictions of DNA shape based on extended k-mers and offers multiple encoding methods for nucleotide sequences, including the physicochemical encoding of DNA through their functional groups in the major and minor groove. DNAdesign provides all mutation candidates along the sequence and shape dimensions, with interactive visualization comparing each candidate with the wild-type DNA molecule. DNAdesign provides an approach to studying gene regulation and applications in synthetic biology, such as the design of synthetic enhancers and transcription factor binding sites. AVAILABILITY AND IMPLEMENTATION: The DNAdesign webserver and documentation are freely accessible at https://dnadesign.usc.edu.

Indexed as

Computational BiologyDNAMutationSoftwareBase SequenceBinding SitesComputer SimulationNucleic Acid ConformationSequence Analysis, DNASynthetic BiologyDNA

Identifiers

PMID39891349
PMCPMC11825384

What OpenQuestion holds

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LicenceCC BY
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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.