PELSA-Decipher: A Software Tool for the Processing and Interpretation of Ligand–Protein Interaction Data Sets Acquired by PELSA

Understanding protein-ligand interactions is fundamental to life sciences, including the elucidation of drug action mechanisms and regulatory processes in cellular metabolism and signaling. Recently, a robust ligand modification-free method, termed peptide-centric local stability assay (PELSA), has been developed to identify the protein targets and binding regions of diverse ligands at the proteome scale. This method has unprecedented sensitivity and can be broadly applied to ligands such as drugs, metabolites, metal ions, antibodies, and others. However, extracting key information on ligand-protein interactions, including the binding proteins, binding sites, and binding affinities, is a nontrivial task, which has limited the widespread adoption of the PELSA strategy by the research community. To address this, we developed a software tool, PELSA-Decipher, to facilitate the efficient processing of data sets obtained in the PELSA experiment, including raw data processing, result visualization, and the generation of reports and high-quality images, thereby greatly promoting the broader applications of the PELSA strategy. The PELSA-Decipher software can be downloaded free of charge from the Web site https://github.com/DICP-1809/PELSA-Decipher.

Authors

Institutions

Publication Details

Journal
Journal of Proteome Research
Published
2025-08-14
DOI
https://doi.org/10.1021/acs.jproteome.5c00365
Citations
3
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
4.51
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

PELSA-Decipher: A Software Tool for the Processing and Interpretation of Ligand–Protein Interaction Data Sets Acquired by PELSA

Mingliang Ye, Kejia Li, Xue Li, Zheng Fang et al.
3 citations
Journal of Proteome Research
Computational Drug Discovery Methods
4.51
article

PELSA-Decipher: A Software Tool for the Processing and Interpretation of Ligand–Protein Interaction Data Sets Acquired by PELSA

Mingliang Ye, Kejia Li, Xue Li, Zheng Fang, Jiahua Zhou, Haiyang Zhu, Keyun Wang
article en
3 citations

Abstract

Understanding protein-ligand interactions is fundamental to life sciences, including the elucidation of drug action mechanisms and regulatory processes in cellular metabolism and signaling. Recently, a robust ligand modification-free method, termed peptide-centric local stability assay (PELSA), has been developed to identify the protein targets and binding regions of diverse ligands at the proteome scale. This method has unprecedented sensitivity and can be broadly applied to ligands such as drugs, metabolites, metal ions, antibodies, and others. However, extracting key information on ligand-protein interactions, including the binding proteins, binding sites, and binding affinities, is a nontrivial task, which has limited the widespread adoption of the PELSA strategy by the research community. To address this, we developed a software tool, PELSA-Decipher, to facilitate the efficient processing of data sets obtained in the PELSA experiment, including raw data processing, result visualization, and the generation of reports and high-quality images, thereby greatly promoting the broader applications of the PELSA strategy. The PELSA-Decipher software can be downloaded free of charge from the Web site https://github.com/DICP-1809/PELSA-Decipher.

Journal of Proteome ResearchVol. 24(9)
Dalian Institute of Chemical Physics (CN), Chinese Academy of Sciences (CN), University of Chinese Academy of Sciences (CN)
Openalex Percentile: Top 5%
Computational Drug Discovery Methods
4.51
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

PELSA-Decipher: A Software Tool for the Processing and Interpretation of Ligand–Protein Interaction Data Sets Acquired by PELSA — Mingliang Ye, Kejia Li, et al. · Journal of Proteome Research (2025) | TGRS Research Map | TGRS