Evidence map›Paper›PMID 31541395›Full record

ArticleJournal of biomolecular NMR2019

NMR-based fragment screening and lead discovery accelerated by principal component analysis.

Andrew T Namanja, Jia Xu, Haihong Wu, Qi Sun, Anup K Upadhyay, Chaohong Sun, Steven R Van Doren, Andrew M Petros

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Article in Journal of biomolecular NMR, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Structural Relationships to Efficacy for Prazole-Derived Antivirals.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  4. Article
  5. Article
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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.

Andrew T NamanjaResearch & Development, AbbVie, 1 North Waukegan Road, North Chicago, IL, 60064, USA.
Jia XuBiochemistry Department, University of Missouri, 117 Schweitzer Hall, Columbia, MO, 65211, USA.
Haihong WuResearch & Development, AbbVie, 1 North Waukegan Road, North Chicago, IL, 60064, USA.
Qi SunResearch & Development, AbbVie, 1 North Waukegan Road, North Chicago, IL, 60064, USA.
Anup K UpadhyayResearch & Development, AbbVie, 1 North Waukegan Road, North Chicago, IL, 60064, USA.
Chaohong SunResearch & Development, AbbVie, 1 North Waukegan Road, North Chicago, IL, 60064, USA.
Steven R Van DorenBiochemistry Department, University of Missouri, 117 Schweitzer Hall, Columbia, MO, 65211, USA. vandorens@missouri.edu.
Andrew M PetrosResearch & Development, AbbVie, 1 North Waukegan Road, North Chicago, IL, 60064, USA. andrew.petros@abbvie.com.ORCID http://orcid.org/0000-0003-1704-415X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein-based NMR spectroscopy has proven to be a very robust method for finding fragment leads to protein targets. However, one limitation of protein-based NMR is that the data acquisition and analysis can be time consuming. In order to streamline the scoring of protein-based NMR fragment screening data and the determination of ligand affinities using 2D NMR experiments we have developed a data analysis workflow based on principal component analysis (PCA) within the TREND NMR Pro software package. We illustrate this using four different proteins and sets of ligands which interact with these proteins over a range of affinities. Also, these PCA-based methods can be successfully applied even to systems where ligand binding to target proteins is in intermediate or even slow exchange on the NMR time scale. Finally, these methods will work for scoring of fragment binding data using protein spectra that are either highly overlapped or lower in resolution.

Indexed as

Drug DiscoveryLigandsNuclear Magnetic Resonance, BiomolecularPeptide FragmentsPrincipal Component AnalysisProtein BindingLigandsPeptide FragmentsFBDDFragment-based drug discoveryNMRNMR screeningPCAPrincipal component analysis

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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.