Evidence map›Paper›PMID 29256499›Full record

ArticleNature chemistry2018

Predicting DNA hybridization kinetics from sequence.

Jinny X Zhang, John Z Fang, Wei Duan, Lucia R Wu, Angela W Zhang, Neil Dalchau, Boyan Yordanov, Rasmus Petersen, Andrew Phillips, David Yu Zhang

Abstract read
In one paragraph

Article in Nature chemistry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers.

0numbers the graph read from it
0cells of the map it votes in
67citing 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

67 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Predicting DNA Reactions with a Quantum Chemistry-Based Deep Learning Model.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  12. Hopping and crawling DNA-coated colloids.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  13. Article
  14. Article
  15. Erasable and Field Programmable DNA Circuits Based on Configurable Logic Blocks.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  16. Article
  17. Article
  18. Unlocking Genetic Profiles with a Programmable DNA-Powered Decoding Circuit.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Article
  19. Bleaching-resistant, Near-continuous Single-molecule Fluorescence and FRET Based on Fluorogenic and Transient DNA Binding.Chemphyschem : a European journal of chemical physics and physical chemistry · 2023
    Article
  20. Review

7 more citing papers are in PubMed but not listed here.

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

10 authors.

Jinny X ZhangDepartment of Bioengineering, Rice University, Houston, Texas 77030, USA.
John Z FangDepartment of Bioengineering, Rice University, Houston, Texas 77030, USA.
Wei DuanDepartment of Bioengineering, Rice University, Houston, Texas 77030, USA.
Lucia R WuDepartment of Bioengineering, Rice University, Houston, Texas 77030, USA.
Angela W ZhangDepartment of Bioengineering, Rice University, Houston, Texas 77030, USA.
Neil DalchauMicrosoft Research, Cambridge CB1 2FB, UK.ORCID 0000-0002-4872-6914
Boyan YordanovMicrosoft Research, Cambridge CB1 2FB, UK.
Rasmus PetersenMicrosoft Research, Cambridge CB1 2FB, UK.
Andrew PhillipsMicrosoft Research, Cambridge CB1 2FB, UK.
David Yu ZhangDepartment of Bioengineering, Rice University, Houston, Texas 77030, USA.

Funding

Enrichment of DNA/RNA Sequences based on Pre-equilibrium Hybridization KineticsR01HG008752 · NHGRI · RICE UNIVERSITY · PI VEISEH, OMID · 2016 to 2021
$3.0M
NHGRI NIH HHS R01 HG008752
6 · The paper itself

Abstract

Hybridization is a key molecular process in biology and biotechnology, but so far there is no predictive model for accurately determining hybridization rate constants based on sequence information. Here, we report a weighted neighbour voting (WNV) prediction algorithm, in which the hybridization rate constant of an unknown sequence is predicted based on similarity reactions with known rate constants. To construct this algorithm we first performed 210 fluorescence kinetics experiments to observe the hybridization kinetics of 100 different DNA target and probe pairs (36 nt sub-sequences of the CYCS and VEGF genes) at temperatures ranging from 28 to 55 °C. Automated feature selection and weighting optimization resulted in a final six-feature WNV model, which can predict hybridization rate constants of new sequences to within a factor of 3 with ∼91% accuracy, based on leave-one-out cross-validation. Accurate prediction of hybridization kinetics allows the design of efficient probe sequences for genomics research.

Indexed as

Models, TheoreticalNucleic Acid HybridizationAlgorithmsDNAGenome, HumanHumansKineticsNucleic Acid ConformationOligonucleotide ProbesPredictive Value of TestsDNAOligonucleotide Probes

Identifiers

PMID29256499
PMCPMC5739081

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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.