Current evidence linking mitochondrial dysfunction, ER stress, and ER-mitochondrial crosstalk to the pathogenesis of chronic pain is summarized and their potentials as therapeutic targets are discussed.
A. Yadawa, Su-Fang Liu, F. Tao· Brain Science· 0 citations
Using stability-based proteomics, this study shows how protein folding stability-based profiling can expand the actionable target landscape of small molecules beyond canonical covalent interactions, uncovering noncovalent off-targets that may underlie response heterogeneity and treatment-associated toxicity.
Ssu-Yu Chen, Y. Zou, Jianli Wu et al.· bioRxiv· 0 citations
Although UFMylation is implicated in skeletal muscle development, the role of its E3 ligase, ubiquitin-fold modifier 1 ligase 1 (UFL1), in bovine muscle and myofiber type determination is unclear. We profiled UFL1 expression in four muscles (biceps femoris (BF), longissimus dorsi (LD), trapezius (TR), psoas major (PM))...
Junjie Xu, Shuning Tang, Haiyan Xie et al.· Biochemical and Biophysical...· 0 citations
Vibrio anguillarum is a major bacterial pathogen in marine aquaculture, which causes significant economic losses. The histone-like protein HU, a conserved nucleoid-associated protein, plays crucial roles in chromosome organization, global gene regulation, and stress adaptation. In many bacteria, HU exists as both a hom...
Jiahui Zhang, Qiwei Sun, Wenting Wang et al.· Fish and Shellfish Immunolog...· 0 citations
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Oil bodies (OBs) are native lipid storage organelles in plant seeds that form highly stable natural emulsification systems stabilized by intrinsic proteins (IPs). However, the poor water solubility of IPs limits their practical application in food systems. Herein, a stable two-protein complex was constructed by the sim...
Yi Liao, Yu Gao, Lewei Ma et al.· Food Research International· 0 citations
A novel committor learning framework grounded in the AlphaFold 3 paradigm is proposed that elucidates how ligand substituents regulate the ratio between distinct binding pathways, offering new perspectives for structure-based drug design.
Jintu Zhang, Zichang Jin, Huifeng Zhao et al.· 0 citations
The Comprehensive VS Platform with AI Engine (CVSP-AIE) for drug discovery from compound libraries integrates three AI models: KarmaDock, a fast docking model that directly updates atomic coordinates; CarsiDock, an accurate docking model that predicts protein-ligand distances and reconstructs binding poses; and RTMScor...
The producers occupy distinct ER-proteostasis states, and DUL mounts a broader, but not uniformly stronger, canonical UPR response to reductive ER stress.
N. Orlova, N. A. Potapova, R. R. Shaifutdinov et al.· International Journal of Mol...· 0 citations
Widespread disturbances in amino acid metabolism were identified via untargeted metabolomics in HCC patients with metastasis, closely governing inflammation-related metabolic remodeling and oxidative stress responses.
Jing Wu, Jin Wang, Zhen Yu et al.· Frontiers in Immunology· 0 citations
It is indicated that chlorogenic acid influences testicular oxidative status and ferroptosis-related gene responses under acrylamide exposure, supporting its potential relevance as a dietary component for acrylamide-associated reproductive oxidative stress.
Hasan Hüseyin Keçeli, A. Yakan, Hüseyin Özkan· Ankara Üniversitesi Veterine...· 0 citations
Dysphagia-adapted fluidized meat products alter the protein matrix structure and may impair digestibility. This work evaluated the digestive and nutritional properties of carboxymethyl cellulose (CMC)-modified myofibrillar protein (MP) thickened fluids across three matrices: liquid solution (MP), semisolid state (MP/CM...
Jiale Chai, Jing-Jie Wang, Yue Wang et al.· Journal of Agricultural and...· 0 citations
Higher order protein structural predictions suggested that the putative epistatic interactions among E180V, G184V, and G252V, D253G may be associated with S protein folding and structural stability.
M. Jogi, Sristy Shikha, Pushpendra Singh et al.· Frontiers in Immunology· 0 citations
A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.