Evidence map›Paper›PMID 34916024›Full record

ReviewDrug discovery today. Technologies2021

Drug discovery from natural products using affinity selection-mass spectrometry.

Ruth N Muchiri, Richard B van Breemen

Abstract readReview
In one paragraph

Review in Drug discovery today. Technologies, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
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  14. Identification and Isolation of α-Glucosidase Inhibitors fromInternational journal of molecular sciences · 2023
    Article
  15. 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

2 authors.

Ruth N MuchiriLinus Pauling Institute, Oregon State University, Corvallis, OR 97331, United States; College of Pharmacy, Oregon State University, Corvallis, OR 97331, United States.
Richard B van BreemenLinus Pauling Institute, Oregon State University, Corvallis, OR 97331, United States; College of Pharmacy, Oregon State University, Corvallis, OR 97331, United States.

Funding

Rapid Identification of Active Agents and Metabolomics of Botanical SupplementsR01AT007659 · NCCIH · UNIVERSITY OF ILLINOIS AT CHICAGO · PI VAN BREEMEN, RICHARD B · 2013 to 2016
$1.1M
NCCIH NIH HHS R01 AT007659
6 · The paper itself

Abstract

As a starting point for drug discovery, affinity selection-mass spectrometry (AS-MS) is ideal for the discovery of lead compounds from chemically diverse sources such as botanical, fungal and microbial extracts. Based on binding interactions between macromolecular receptors and ligands of low molecular mass, AS-MS enables the rapid isolation of pharmacologically active small molecules from complex mixtures for mass spectrometric characterization and identification. Unlike conventional high-throughput screening, AS-MS requires no radiolabels, no UV or fluorescent chromophores, and is compatible with all classes of receptors, enzymes, incubation buffers, cofactors, and ligands. The most successful types of AS-MS include pulsed ultrafiltration (PUF) AS-MS, size exclusion chromatography (SEC) AS-MS, and magnetic microbead affinity selection screening (MagMASS), which differ in their approaches for separating the ligand-receptor complexes from the non-binding compounds in mixtures. After affinity isolation, the ligand(s) from the mixture are characterized using high resolution UHPLC-MS and tandem mass spectrometry. Based on these elemental composition and structural data, the identities of the lead compounds are determined by searching on-line databases for known natural products and by comparison with standards. The structures of novel natural products are determined using a combination of spectroscopic techniques including two-dimensional NMR and MS.

Indexed as

Biological ProductsDrug DiscoveryHigh-Throughput Screening AssaysMass SpectrometryBiological Products

Identifiers

PMID34916024
PMCPMC8688860

What OpenQuestion holds

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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.