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ZENODO
Software . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Software . 2025
License: CC BY
Data sources: Datacite
ZENODO
Software . 2025
License: CC BY
Data sources: Datacite
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PELSA-Decipher: a software tool for the processing and interpretation of ligand-protein interaction datasets acquired by PELSA

Authors: Zhu, Haiyang;

PELSA-Decipher: a software tool for the processing and interpretation of ligand-protein interaction datasets acquired by PELSA

Abstract

PELSA-Decipher is a software tool specifically designed to streamline the processing and analysis of PELSA data. It is an efficient and user-friendly software that offers the following key functionalities: Differential Analysis (DA): Quantitative comparison of differences between samples to facilitate the identification of target proteins. Protein Local Stability Analysis (ProLSA): Exploration of stability characteristics across different regions of a protein allowing the determination of binding regions. Concentration-Dependent Analysis (CDA): Analysis of the concentration-dependent curves at peptide level to enable the calculation of both local and global affinities of ligands for their target proteins. The software supports importing domain information from the UniProt database, enabling precise analysis of ligand-protein binding regions. Users can also define custom regions for targeted analysis. In addition, it provides flexible image customization options, supports multiple output formats, and allows batch export of result reports and images. Beyond PELSA-specific data, PELSA-Decipher is also compatible with certain other data types, further enhancing its versatility and functionality. Developed in Python, the software’s graphical user interface (GUI) is built using PySide6. The tool is available as a packed .exe application, which can be directly downloaded and executed. Detailed instructions on installation, operation, troubleshooting, and additional resources are provided in the accompanying documentation.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average