Evidence map›Paper›PMID 33484500›Full record

ArticleCurrent protocols2021

Fluorescence Polarization-Based Measurement of Protein-Ligand Interaction in Fungal Cell Lysates.

Emmanuelle V LeBlanc, Tanvi Shekhar-Guturja, Luke Whitesell, Leah E Cowen

Erratum issuedAbstract read
In one paragraph

Article in Current protocols, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Target Engagement Assays in Early Drug Discovery.Journal of medicinal chemistry · 2025
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Emmanuelle V LeBlancDepartment of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada.
Tanvi Shekhar-GuturjaDepartment of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada.
Luke WhitesellDepartment of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada.
Leah E CowenDepartment of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada.

Funding

Targeting Hsp90 in cryptococcal fungal pathogenesisR01AI120958 · NIAID · UNIVERSITY OF TORONTO · PI BROWN, LAUREN ELAINE, COWEN, LEAH ELIZABETH · 2016 to 2019
$3.2M
Canadian Institutes of Health Research Foundation FDN-154288NIAID NIH HHS R01 AI120958NIAID NIH HHS R01AI120958-01A1NIH HHS
6 · The paper itself

Abstract

Fungi infect over a billion people worldwide and contribute substantially to human morbidity and mortality despite all available therapies. New antifungal drugs are urgently needed. Decades of study have revealed numerous protein targets of potential therapeutic interest for which potent, fungal-selective ligands remain to be discovered and developed. To measure the binding of diverse small molecule ligands to their larger protein targets, fluorescence polarization (FP) can provide a robust, inexpensive approach. The protocols in this article provide detailed guidance for developing FP-based assays capable of measuring binding affinity in whole cell lysates without the need for purification of the target protein. Applications include screening of libraries to identify novel ligands and the definition of structure-activity relationships to aid development of compounds with improved target affinity and fungal selectivity. © 2021 Wiley Periodicals LLC. Basic Protocol 1: Use of saturation binding curves to optimize tracer and lysate protein concentrations Basic Protocol 2: Establishment of competition binding experiments Support Protocol 1: Preparation of fungal cell lysates Support Protocol 2: Preparation of human HepG2 cell lysate.

Indexed as

FungiProteinsBinding, CompetitiveFluorescence PolarizationHumansLigandsLigandsProteinsbinding affinityfluorescence polarizationfungiwhole cell lysate

Identifiers

PMID33484500
PMCPMC7850327

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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.