Cordyceps militaris polysaccharides exhibit significant in vitro anticoagulant activity, acting through potential multi-pathway mechanisms and pronounced fibrinogen reduction, and their potential development as functional food ingredients or biomedical agents for the prevention of thrombotic cardiovascular and cerebrov...
Cai-Jun Li, Li-Gan Lu, Jun-Shang Liu et al.· Frontiers in Nutrition· 0 citations
High resolution LATS2:YAPWW1 crystal structure and molecular dynamics simulations suggest that preorganized peptides bind more tightly and less selectively, while flexible peptides incur larger binding penalties that dynamic YAPWW1 compensate more effectively.
Tryptophan (Trp) residues are comparatively rare in proteins but are frequently positioned at sites that control folding, molecular recognition, ligand binding, and enzymatic activity. Direct chemical modification of Trp therefore offers a powerful strategy for perturbing protein structure and function. However, method...
Ranran Zhu, Xiaofei Gao, Xiaoying Lian et al.· ChemRxiv· 0 citations
A proximity biotinylation approach coupled to quantitative mass spectrometry that maps the host-bacterial interface during infection identifies UFMylation as an ancient antibacterial pathway and holds great promise to reveal other cell-autonomous immunity mechanisms.
A. T. López-Jiménez, Fabien Théry, Kathryn Wright et al.· Nature Communications· 0 citations
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CRISPR–Cas12a underlies powerful genome-editing and nucleic-acid detection technologies, yet its performance is limited by inefficient target engagement and low catalytic turnover, particularly at low target abundance and elevated temperatures. Here, we report a modular protein-engineering strategy to enhance Cas12a tr...
Integrated proteomic and metabolomic profiling revealed residual lipid-related molecular signatures beyond conventional lipid parameters in patients with PAD undergoing lower-extremity revascularization, supporting further validation of molecular biomarkers for postoperative cardiovascular risk stratification in PAD.
Shao-Bo Cao, Bo-Wen Zhang, Peng Li et al.· BMC Cardiovascular Disorders· 0 citations
Virtual-screening cascades assembled from co-folding and learned-affinity models are now routine, and each stage is usually trusted on the strength of its own score. We measured, stage by stage, whether those scores carry the information a practitioner would attribute to them, using the Keap1–Nrf2 protein–protein inter...
Investigations of molecular magnetism, molecular recognition, and the nicotinic acetylcholine receptor are reported. Chapter 2 Studies of the spin state preferences of organic biradicals provide information valuable for the design of molecular magnetic materials. Ab initio calculations on pyridine and pyridinium analog...
West, Anthony Paul, Jr.· Caltech Library· 0 citations
It is highlighted that perturbational signatures in the disease-relevant human cell type harbor target-relevant signals beyond human genetics, offering a generalizable route to indication-specific prioritization as perturbation atlases expand.
Alexander L. Han, Max Slotnik, David A. Fox et al.· bioRxiv· 0 citations
GHKL ATPases share a unique Bergerat ATP-binding fold and regulate diverse biological processes through ATP-dependent conformational changes. An early step of ATP hydrolysis in this family has been attributed to a single highly conserved glutamate residue proposed to function as the general base. However, mutations of...
Kenji Fukui, Ayaka Shibuya, Takeshi Murakawa et al.· 0 citations
The potential of AI-assisted de novo protein design for generating effective Stx-neutralizing proteins is demonstrated and a promising framework for the development of novel therapeutics is established.
Xiang-Lin Zhao, Xiao-Tang Feng, Huai-Xia Li et al.· Journal of Agricultural and...· 0 citations
Evaluating multi-state structure prediction requires a reference set that can distinguish genuine two-state recovery from a single-fold output that happens to match two similar reference states — and the de facto standard, the 92 experimentally characterized fold-switching proteins on which the field has evaluated sinc...
Zeyuan Ma· Zenodo (CERN European Organi...· 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.
