Evidence map›Paper›PMID 30871031›Full record

ArticleViruses2019

Improvement of High Affinity and Selectivity on Biosensors Using Genetically Engineered Phage by Binding Isotherm Screening.

Jong-Min Lee, Eun Jung Choi, Juyun Park, Vasanthan Devaraj, ChunTae Kim, Jiye Han, Won-Geun Kim, Kyujung Kim, Yong-Cheol Kang, Kwang Ho Kim and 1 more

Open access · goldAbstract read
In one paragraph

Article in Viruses, 2019. 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
0.8field-weighted citation impact, top 30% of its field
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, 14 citations in OpenAlex.

  1. Review
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

11 authors at 2 institutions in 1 country.

Jong-Min LeeResearch Center for Energy Convergence and Technology, Pusan National University, Busan 46241, Korea. jongminlee1984@gmail.com.
Eun Jung ChoiResearch Center for Energy Convergence and Technology, Pusan National University, Busan 46241, Korea. choi1203@hanmail.net.
Juyun ParkDepartment of Chemistry, Pukyong National University, Busan 48513, Korea. sai3162@naver.com.
Vasanthan DevarajResearch Center for Energy Convergence and Technology, Pusan National University, Busan 46241, Korea. devarajvasanthan@gmail.com.ORCID 0000-0002-2181-800X
ChunTae KimDepartment of Nano Fusion Technology, Pusan National University, Busan 46241, Korea. chuntae1122@gmail.com.
Jiye HanDepartment of Nano Fusion Technology, Pusan National University, Busan 46241, Korea. hanyksw20@naver.com.
Won-Geun KimDepartment of Nano Fusion Technology, Pusan National University, Busan 46241, Korea. kim1guen@gmail.com.
Kyujung KimDepartment of Optics and Mechatronics Engineering, Pusan National University, Busan 46241, Korea. kjkimgo@gmail.com.
Yong-Cheol KangDepartment of Chemistry, Pukyong National University, Busan 48513, Korea. yckang65@gmail.com.ORCID 0000-0002-4531-7736
Kwang Ho KimSchool of Materials Science and Engineering, Pusan National University, Busan 46241, Korea. kwhokim@pusan.ac.kr.
Jin-Woo OhResearch Center for Energy Convergence and Technology, Pusan National University, Busan 46241, Korea. ojw@pusan.ac.kr.ORCID 0000-0002-0065-5088
Pusan National University · KRPukyong National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The genetically engineered M13 bacteriophage (M13 phage), developed via directed evolutionary screening process, can improve the sensitivity of sensors because of its selective binding to a target material. Herein, we propose a screening method to develop a selective and sensitive bioreporter for toxic material based on genetically engineered M13 phage. The paraquat (PQ)-binding M13 phage, developed by directed evolution, was used. The binding affinities of the PQ-binding M13 phage to PQ and similar molecules were analyzed using isothermal titration calorimetry (ITC). Based on the isotherms measured by ITC, binding affinities were calculated using the one-site binding model. The binding affinity was 5.161 × 10

Indexed as

Directed Molecular EvolutionGenetic EngineeringVirus AttachmentBacteriophage M13Biosensing TechniquesHigh-Throughput Screening AssaysParaquatSensitivity and SpecificitySpectrum Analysis, RamanParaquatbinding affinitydirected evolutionM13 bacteriophagesurface-enhanced Raman scattering

Identifiers

PMID30871031
PMCPMC6466209
OpenAlexW2922060386

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.