Our prior works have demonstrated the therapeutic potential extracellular vesicles (EVs) derived from batch cultures of brain endothelial cells (BECs) owing to their ability to transfer mitochondria to injured recipient cells. However, conventional batch/flask cultures limit scalable and reproducible production of EVs....
Type III toxin-antitoxin (TA) systems are anti-phage defense systems in bacteria that comprises a protein toxin and a cognate non-coding RNA antitoxin. Under normal conditions, the antitoxin binds and inhibits the toxin. Upon phage infection, antitoxin is neutralized, releasing the active toxin, which cleaves the bacte...
Kavya Nadig, S. Padmanaban, Salik Noor et al.· PLoS Pathogens· 0 citations
Ginger (Zingiber officinale) is a globally consumed spice valued for its distinctive flavor and therapeutic properties, delivered by different bioactive constituents, including 6-gingerol. With increasing demand for functional foods and stringent international quality standards, producing ginger with consistent physi...
M. Jayathilaka, Thanuja Janadari Dhanapala, A. Rajapaksha et al.· ACS Agricultural Science &am...· 0 citations
Alpha-synuclein is an intensely studied intrinsically disordered protein whose aggregation into amyloid fibrils is connected to the progression of several neurodegenerative diseases, most commonly Parkinson’s Disease. A remarkable feature that has emerged from this research is how easy it is to induce the protein to ag...
Lukas Frey, David Rhyner, Witek Kwiatkowski et al.· eLife· 0 citations
Reach audiences
Advertise in front of researchers, engineers, and readers.
Este trabalho apresenta a formalização teórica e aplicada do Folding MP-Lex (Dobra Binária Involutiva / Involutive Binary Folding) no âmbito da bioinformática e do processamento de sequências genômicas. Para evitar ambiguidades conceituais com a física das dobras teciduais ou estruturais (protein folding), o presente m...
Mauro Roberto Pena Pena· Zenodo (CERN European Organi...· 0 citations
Link prediction in multilayer networks is a key challenge in applications such as recommendation systems and protein-protein interaction prediction. While many techniques have been developed, most rely on assumptions about shared structures and require access to raw auxiliary data, limiting their practicality. To addre...
This study employed 4D label-free quantitative proteomics to identify differentially expressed proteins (DEPs) in follicular fluid (FF) from patients with polyendocrine metabolic ovarian syndrome (PMOS). FF samples were collected from the PMOS group ( n = 20) and the control group ( n = 10), followed by whole-proteome...
Qianqian Yin, Yaru Yang, Xiaonan Yan et al.· Journal of Ovarian Research· 0 citations
Hepatocellular carcinoma (HCC) remains a leading cause of cancer-related mortality, and obesity and type 2 diabetes (T2D) are recognized metabolic risk factors for its development. In this study, disease-associated gene lists for T2D and obesity were integrated with differentially expressed genes from the Cancer Genome...
Elahe Shams, Elham Rismani, Pedram Asadi-Sarabi et al.· Journal of Genome Biotechnol...· 0 citations
Protein engineering has evolved from modifying naturally occurring proteins toward modular, computational, and AI-assisted approaches for designing new molecular functions. Chimeric and fusion protein engineering has demonstrated that functional elements from different proteins can be reorganized into novel architectur...
This Zenodo record archives the delivered-pose docking evaluation associated with the study “Predicting Protein–Ligand Interactions with Deep Learning Co-Folding and Docking Architectures Through the Lens of Conformational Landscapes and Local Frustration.” It provides evaluation code, delivered DiffDock and EquiBind l...
Lucas Turano, Brandon Foley, Ryan Dennis et al.· Zenodo (CERN European Organi...· 0 citations
Peptide-brush polymers prepared via graft-through polymerization of peptide-based olefinic monomers form Protein-Like Polymers (PLPs) with demonstrated utility as chemical biology tools for modulating intracellular protein–protein interactions and are in development as a emerging class of therapeutic. This favorable bi...
Julia Oktawiec, Hassan Nadeem, Omar M. Ebrahim et al.· bioRxiv· 0 citations
Watch the full Tech Showcase video to learn how to unlock high-yield, cost-efficient EV manufacturing through fixed-bed bioreactors. Find out how to achieve: 2- to 4-fold increased EV titer vs. flask-based systems; 6× higher viable cell density signal; 59% reduction in facility footprint compared to vertical wheel bior...
Thomas Robert· Cell and Gene Therapy Insigh...· 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.