Statistical removal of background signals from high-throughput (1)H NMR line-broadening ligand-affinity screens.

Bradley Worley, Nicholas J Sisco, Robert Powers

Abstract read

In one paragraph

Article in Journal of biomolecular NMR, 2015. 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

–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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

Analytical chemistry · 2022
Article

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

3 authors.

Bradley WorleyDepartment of Chemistry, University of Nebraska-Lincoln, Lincoln, NE, 68588-0304, USA.

Nicholas J SiscoDepartment of Chemistry, University of Nebraska-Lincoln, Lincoln, NE, 68588-0304, USA.

Robert PowersDepartment of Chemistry, University of Nebraska-Lincoln, Lincoln, NE, 68588-0304, USA. rpowers3@unl.edu.

Funding

EXTRAMURAL RESEARCH FACILITIES CONSTRUCTIONC06RR015468 · NCRR · UNIVERSITY OF NEBRASKA LINCOLN · PI PAUL, PREM S · 2000 to 2000

$2.0M

Revealing Functions for Newly Discovered Proteins by FAST-NMRR21AI081154 · NIAID · UNIVERSITY OF NEBRASKA LINCOLN · PI POWERS, ROBERT · 2009 to 2010

$376k

NCRR NIH HHS C06 RR015468NCRR NIH HHS RR015468-01NIAID NIH HHS R21 AI081154NIAID NIH HHS R21AI081154

6 · The paper itself

Abstract

NMR ligand-affinity screens are vital to drug discovery, are routinely used to screen fragment-based libraries, and used to verify chemical leads from high-throughput assays and virtual screens. NMR ligand-affinity screens are also a highly informative first step towards identifying functional epitopes of unknown proteins, as well as elucidating the biochemical functions of protein-ligand interaction at their binding interfaces. While simple one-dimensional (1)H NMR experiments are capable of indicating binding through a change in ligand line shape, they are plagued by broad, ill-defined background signals from protein (1)H resonances. We present an uncomplicated method for subtraction of protein background in high-throughput ligand-based affinity screens, and show that its performance is maximized when phase-scatter correction is applied prior to subtraction.

Indexed as

Nuclear Magnetic Resonance, BiomolecularProton Magnetic Resonance SpectroscopyStatistics as TopicAlgorithmsAnimalsCattleHigh-Throughput Screening AssaysLigandsSerum Albumin, BovineSignal Processing, Computer-AssistedLigandsSerum Albumin, BovineHigh-throughput screeningLigand-based affinity screeningNMRPhase-scatter correction

Identifiers

PMID26156049

DOI10.1007/s10858-015-9962-3

PMCPMC4577452

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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.