PLIP 2025: introducing protein–protein interactions to the protein–ligand interaction profiler

PLIP, the protein-ligand interaction profiler, analyses molecular interactions in protein structures. PLIP detects eight types of non-covalent interactions. Initially focused on small-molecule, DNA, and RNA interactions to a protein, the current release incorporates protein-protein interactions. We document the usefulness of this feature by comparing PLIP interactions of the cancer drug venetoclax with the native protein-protein interaction of Bcl-2 and BAX. PLIP reveals how the drug mimics the native interaction, as there is critical overlap in the interaction profiles. PLIP is available as a web server, source code with containers, and Jupyter notebook. The PLIP web server is online at https://plip-tool.biotec.tu-dresden.de.

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Publication Details

Journal
Nucleic Acids Research
Published
2025-05-10
DOI
https://doi.org/10.1093/nar/gkaf361
Citations
106
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
159.46

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article

PLIP 2025: introducing protein–protein interactions to the protein–ligand interaction profiler

Katja L Linnemann, Michael Schroeder, Philipp Schake, Sarah Naomi Bolz
106 citations
Nucleic Acids Research
Computational Drug Discovery Methods
159.46
article

PLIP 2025: introducing protein–protein interactions to the protein–ligand interaction profiler

Katja L Linnemann, Michael Schroeder, Philipp Schake, Sarah Naomi Bolz
article en
106 citations

Abstract

PLIP, the protein-ligand interaction profiler, analyses molecular interactions in protein structures. PLIP detects eight types of non-covalent interactions. Initially focused on small-molecule, DNA, and RNA interactions to a protein, the current release incorporates protein-protein interactions. We document the usefulness of this feature by comparing PLIP interactions of the cancer drug venetoclax with the native protein-protein interaction of Bcl-2 and BAX. PLIP reveals how the drug mimics the native interaction, as there is critical overlap in the interaction profiles. PLIP is available as a web server, source code with containers, and Jupyter notebook. The PLIP web server is online at https://plip-tool.biotec.tu-dresden.de.

Nucleic Acids ResearchVol. 53(W1)
Technische Universität Dresden (DE)
Bundesministerium für Verkehr und Digitale Infrastruktur, Bundesministerium für Bildung und Forschung, Technische Universität Dresden
Openalex Percentile: Top 0%
Computational Drug Discovery Methods
159.46
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