Evidence map›Paper›PMID 37463207›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2023

Label-free drug interaction screening via Raman microscopy.

Narangerel Altangerel, Benjamin W Neuman, Philip R Hemmer, Vladislav V Yakovlev, Navid Rajil, Zhenhuan Yi, Alexei V Sokolov, Marlan O Scully

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

9 citing papers in PubMed, 19 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Narangerel AltangerelInstitute of Quantum Science and Engineering, Texas A&M University, College Station, TX 77843.ORCID 0000-0003-1617-3427
Benjamin W NeumanInstitute of Quantum Science and Engineering, Texas A&M University, College Station, TX 77843.
Philip R HemmerInstitute of Quantum Science and Engineering, Texas A&M University, College Station, TX 77843.
Vladislav V YakovlevInstitute of Quantum Science and Engineering, Texas A&M University, College Station, TX 77843.ORCID 0000-0002-4557-1013
Navid RajilInstitute of Quantum Science and Engineering, Texas A&M University, College Station, TX 77843.
Zhenhuan YiInstitute of Quantum Science and Engineering, Texas A&M University, College Station, TX 77843.ORCID 0000-0003-4827-1013
Alexei V SokolovInstitute of Quantum Science and Engineering, Texas A&M University, College Station, TX 77843.ORCID 0000-0002-6879-7840
Marlan O ScullyInstitute of Quantum Science and Engineering, Texas A&M University, College Station, TX 77843.ORCID 0000-0001-6397-4927
Texas A&M University · USBaylor University · US

Funding

Brillouin Microscope for Biomedical ResearchR01GM127696 · NIGMS · TEXAS ENGINEERING EXPERIMENT STATION · PI YAKOVLEV, VLADISLAV V. · 2018 to 2021
$1.1M
Molecular and cellular imaging of bone biopsies using AI augmented deep UV Raman microscopyR21CA269099 · NCI · TEXAS ENGINEERING EXPERIMENT STATION · PI BEREZIN, MIKHAIL Y., YAKOVLEV, VLADISLAV V. · 2022 to 2024
$577k
Sensing local nano-environment with coherent Raman microspectroscopyR21GM142107 · NIGMS · TEXAS ENGINEERING EXPERIMENT STATION · PI YAKOVLEV, VLADISLAV V. · 2021 to 2022
$399k
NCI NIH HHS R21 CA269099NIGMS NIH HHS R01 GM127696NIGMS NIH HHS R21 GM142107
6 · The paper itself

Abstract

Development of a simple, label-free screening technique capable of precisely and directly sensing interaction-in-solution over a size range from small molecules to large proteins such as antibodies could offer an important tool for researchers and pharmaceutical companies in the field of drug development. In this work, we present a thermostable Raman interaction profiling (TRIP) technique that facilitates low-concentration and low-dose screening of binding between protein and ligand in physiologically relevant conditions. TRIP was applied to eight protein-ligand systems, and produced reproducible high-resolution Raman measurements, which were analyzed by principal component analysis. TRIP was able to resolve time-depending binding between 2,4-dinitrophenol and transthyretin, and analyze biologically relevant SARS-CoV-2 spike-antibody interactions. Mixtures of the spike receptor-binding domain with neutralizing, nonbinding, or binding but nonneutralizing antibodies revealed distinct and reproducible Raman signals. TRIP holds promise for the future developments of high-throughput drug screening and real-time binding measurements between protein and drug.

Indexed as

COVID-19MicroscopyAntibodies, NeutralizingAntibodies, ViralDrug Evaluation, PreclinicalDrug InteractionsHumansLigandsSARS-CoV-2Spike Glycoprotein, CoronavirusAntibodies, NeutralizingAntibodies, ViralLigandsSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2aqueous Raman samplingprotein–ligand interactionsprotein–protein interactionsRaman spectroscopy

Identifiers

PMID37463207
PMCPMC10372630
OpenAlexW4384665241

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.