Results demonstrated that ProtThermoRank provides a sequence-based approach for artificial intelligence-guided protein engineering, enabling in-silico high-throughput screening of thermostabilizing variants and accelerating the discovery and optimization of highly stabilizing proteins.
Sungbo Hwang, Sohee Oh, Jin-Sik Kim et al.· International Journal of Bio...· 0 citations
The results demonstrate the promising potential of PCV2 VLPs as versatile epitope-display platforms, while establishing the IDR as a suitable fusion site that maintains both structural integrity and biological functionality.
Hong Li, Xiao-Ming Huang, Yu-Xin Zhao et al.· International Journal of Bio...· 0 citations
Osteogenesis imperfecta (OI) is a genetically heterogeneous connective tissue disorder characterized by bone fragility, recurrent fractures, skeletal deformities, and substantial variability in clinical severity. Although OI is primarily associated with defects in type I collagen or proteins involved in its processing,...
Zhiming Wu, Regenerative Medicine and Stem Cells, ORT Research et al.· Utrecht University Repositor...· 0 citations
These findings establish CAST as a tumor-specific suppressor in CRC and provide a generalizable framework for discovering therapeutic targets from unannotated isoforms.
A. Ebadi, M. Hashemi· medRxiv· 0 citations
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This study identified TNF, IL6 and other highly connected genes, along with TLR signaling as an enriched pathway in the fibromyalgia-associated gene network, which provides potential molecular targets and pathways for further investigation into the pathophysiology of fibromyalgia.
Mammalian gene switches enable programmable cell behavior. However, current switches on transcriptional and translational layers require de novo RNA and protein synthesis, and secreted outputs must additionally undergo folding, post-translational processing, and intracellular trafficking, imposing delays that limit rap...
H-10 elicited dose-dependent seizure suppression and alleviated multi-organ pathological damage in both acute and chronic epileptic mouse models and is an orally bioavailable, efficacious GABAAR-targeted PAM with broad-spectrum antiseizure activity, deserving further optimization for anticonvulsant drug discovery.
Di Hu, Ying Wang, Jin-Ling Yu et al.· European journal of medicina...· 0 citations
ESMCHalo is a frozen protein-sequence predictor that combines ESMC-600M layer-36 canonical mean representations with five compact student heads trained using out-of-fold teacher targets with documented cross-fold limitations. The release provides frozen inference code, model checkpoints, calibration, a fixed threshold,...
Fang Lv, Hutao Jin, Qishuai Ma et al.· Zenodo (CERN European Organi...· 0 citations
Particle geometry can alter nanomedicine transport, yet its intrinsic contribution is difficult to define because shape engineering usually changes particle composition or surface chemistry. Here we use sonication to transform compositionally identical SN38 dimeric prodrug nanoassemblies from spheres into rods with asp...
Particle geometry can alter nanomedicine transport, yet its intrinsic contribution is difficult to define because shape engineering usually changes particle composition or surface chemistry. Here we use sonication to transform compositionally identical SN38 dimeric prodrug nanoassemblies from spheres into rods with asp...
Condensin II shapes interphase genome architecture: species that lack it tend to fold their chromosomes in a Rabl-like, type-I configuration, while species that have it form chromosome territories (type II). In the study that established this, the tardigrade Hypsibius dujardini (now H. exemplaris) was the only species...
Meow-Ludo Meow-Meow· Zenodo (CERN European Organi...· 0 citations
A streamlined Azo-enabled one-pot extraction strategy for high-sensitivity top-down analysis of PLN that reduces the required tissue input to 1 mg while preserving analytical performance and establishing a practical strategy for TDP of PLN proteoforms from biopsy-scale and other sample-limited myocardial specimens.
Isabella R. Clemmer, Holden T. Rogers, M. C. Wilson et al.· Journal of the American Soci...· 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.
