破译
口译(哲学)
软件
计算生物学
计算机科学
数据科学
数据挖掘
生物信息学
生物
程序设计语言
作者
Haiyang Zhu,Keyun Wang,Kejia Li,Zheng Fang,Jiahua Zhou,Xue Li,Mingliang Ye
标识
DOI:10.1021/acs.jproteome.5c00365
摘要
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.
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