Evidence map›Paper›PMID 38989559›Full record

ArticleProtein science : a publication of the Protein Society2024

MAGPIE: An interactive tool for visualizing and analyzing protein-ligand interactions.

Daniel C Pineda Rodriguez, Kyle C Weber, Belen Sundberg, Anum Glasgow

Abstract read
In one paragraph

Article in Protein science : a publication of the Protein Society, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. MAGPIE: An interactive tool for visualizing and analyzing protein-ligand interactions.Protein science : a publication of the Protein Society · 2024
    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

4 authors.

Daniel C Pineda RodriguezDepartment of Biochemistry and Molecular Biophysics, Columbia University Irving Medical Center, New York, New York, USA.
Kyle C WeberDepartment of Biochemistry and Molecular Biophysics, Columbia University Irving Medical Center, New York, New York, USA.
Belen SundbergDepartment of Biochemistry and Molecular Biophysics, Columbia University Irving Medical Center, New York, New York, USA.
Anum GlasgowDepartment of Biochemistry and Molecular Biophysics, Columbia University Irving Medical Center, New York, New York, USA.ORCID 0000-0002-0938-881X

Funding

Training in Cellular, Molecular and Biomedical Studies (CMBS)T32GM145766 · NIGMS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Rebecca Anne Haeusler, RONALD K. LIEM · 2022 to 2026
$4.1M
Mapping and rewiring protein allosteryR00GM135529 · NIGMS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GLASGOW, ANUM AZAM · 2022 to 2024
$747k
Mapping and rewiring protein allosteryK99GM135529 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GLASGOW, ANUM AZAM · 2020 to 2021
$194k
NIGMS NIH HHS K99 GM135529NIGMS NIH HHS R00 GM135529NIGMS NIH HHS R00GM135529NIGMS NIH HHS T32 GM145766
6 · The paper itself

Abstract

Quantitative tools to compile and analyze biomolecular interactions among chemically diverse binding partners would improve therapeutic design and aid in studying molecular evolution. Here we present Mapping Areas of Genetic Parsimony In Epitopes (MAGPIE), a publicly available software package for simultaneously visualizing and analyzing thousands of interactions between a single protein or small molecule ligand (the "target") and all of its protein binding partners ("binders"). MAGPIE generates an interactive three-dimensional visualization from a set of protein complex structures that share the target ligand, as well as sequence logo-style amino acid frequency graphs that show all the amino acids from the set of protein binders that interact with user-defined target ligand positions or chemical groups. MAGPIE highlights all the salt bridge and hydrogen bond interactions made by the target in the visualization and as separate amino acid frequency graphs. Finally, MAGPIE collates the most common target-binder interactions as a list of "hotspots," which can be used to analyze trends or guide the de novo design of protein binders. As an example of the utility of the program, we used MAGPIE to probe how different antibody fragments bind a viral antigen; how a common metabolite binds diverse protein partners; and how two ligands bind orthologs of a well-conserved glycolytic enzyme for a detailed understanding of evolutionarily conserved interactions involved in its activation and inhibition. MAGPIE is implemented in Python 3 and freely available at https://github.com/glasgowlab/MAGPIE, along with sample datasets, usage examples, and helper scripts to prepare input structures.

Indexed as

ProteinsSoftwareLigandsModels, MolecularProtein BindingLigandsProteinsbiomolecular interactionscomputational drug designprotein–ligand interactionsprotein–protein interactionsprotein‐small molecule binding

Identifiers

PMID38989559
PMCPMC11237554

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.