GBDT_KgluSite: An improved computational prediction model for lysine glutarylation sites based on feature fusion and GBDT classifier.

Background: Lysine glutarylation (Kglu) is one of the most important Post-translational modifications (PTMs), which plays significant roles in various cellular functions, including metabolism, mitochondrial processes, and translation. Therefore, accurate identification of the Kglu site is important for elucidating protein molecular function. Due to the time-consuming and expensive limitations of traditional biological experiments, computational-based Kglu site prediction research is gaining more and more attention.

Qingre Qushi formula suppresses atopic dermatitis via a multi-target mechanism.

Ethnopharmacological Relevance: Our previous studies have shown that the Qingre Qushi (QRQS) formula can treat atopic dermatitis (AD), and its possible mechanism is related to the regulation of the IL-33/ST2 signaling pathway. However, the molecular mechanism of AD is complex, and various AD subtypes respond better to therapies aimed at distinct targets.

Aim Of The Study: This study aimed to investigate the multi-target mechanism of QRQS using experimental and network pharmacology studies.