Evidence map›Paper›PMID 27924312›Full record

ArticleACS central science2016

Protein-Ligand Interaction Detection with a Novel Method of Transient Induced Molecular Electronic Spectroscopy (TIMES): Experimental and Theoretical Studies.

Tiantian Zhang, Tao Wei, Yuanyuan Han, Heng Ma, Mohammadreza Samieegohar, Ping-Wei Chen, Ian Lian, Yu-Hwa Lo

Abstract read
In one paragraph

Article in ACS central 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.

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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

8 authors.

Tiantian ZhangMaterials Science and Engineering Program, University of California San Diego , La Jolla, California 92093-0418, United States.
Tao WeiDan F. Smith Department of Chemical Engineering, Lamar University , Beaumont, Texas 77710, United States.
Yuanyuan HanElectrical and Computer Engineering Department, University of California San Diego , La Jolla, California 92093-0407, United States.
Heng MaDan F. Smith Department of Chemical Engineering, Lamar University , Beaumont, Texas 77710, United States.
Mohammadreza SamieegoharDan F. Smith Department of Chemical Engineering, Lamar University , Beaumont, Texas 77710, United States.
Ping-Wei ChenChemical Engineering Program, University of California San Diego , La Jolla, California 92093-0448, United States.
Ian LianBiology Department, Lamar University , Beaumont, Texas 77710, United States.
Yu-Hwa LoMaterials Science and Engineering Program, University of California San Diego, La Jolla, California 92093-0418, United States; Electrical and Computer Engineering Department, University of California San Diego, La Jolla, California 92093-0407, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein-ligand interaction detection without disturbances (e.g., surface immobilization, fluorescent labeling, and crystallization) presents a key question in protein chemistry and drug discovery. The emergent technology of transient induced molecular electronic spectroscopy (TIMES), which incorporates a unique design of microfluidic platform and integrated sensing electrodes, is designed to operate in a label-free and immobilization-free manner to provide crucial information for protein-ligand interactions in relevant physiological conditions. Through experiments and theoretical simulations, we demonstrate that the TIMES technique actually detects protein-ligand binding through signals generated by surface electric polarization. The accuracy and sensitivity of experiments were demonstrated by precise measurements of dissociation constant of lysozyme and

Identifiers

PMID27924312
PMCPMC5126721

What OpenQuestion holds

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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.