Background. Machine-learning models for proteins increasingly train on large, pooled collections of laboratory measurements-binding affinities such as IC50, Ki, Kd and EC50 (numbers that describe how tightly a molecule binds its target), togetherwith biophysical readouts from techniques such as surface plasmon resonanc...
To develop and validate a predictive model for infectious diseases of the spine (IDS) utilizing peripheral blood laboratory indicators. This retrospective case-control study enrolled 292 patients with spinal disorders treated between January 2018 and April 2025. The cohort consisted of 190 IDS patients and 102 control...
Background/Objectives: Metagenomic next-generation sequencing (mNGS) of bronchoalveolar lavage fluid (BALF) increasingly reports Tropheryma whipplei (T. whipplei) in patients without classical Whipple disease, but the significance of these detections is often uncertain. We aimed to quantify relative sequencing abundanc...
Xi Zhang, Jing-Dong He, Zhi-Nan Zhai et al.· Diagnostics· 0 citations
Die Regulation der Proteinbiosynthese ist für die Aufrechterhaltung der zellulären Homöostase von entscheidender Bedeutung. Verschiedene Faktoren, wie beispielsweise eine fehlerhafte mRNA-Verarbeitung, das Fehlen von Translationskomponenten oder seltenen Codons, können während der Translation zu einem Ribosomenstillsta...
Milica Mihailović· University of Vienna· 0 citations
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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 aims to investigate whether the addition of Ceranib-2, an acid ceramidase inhibitor, could enhance the cytotoxic efficacy of cisplatin under hyperthermic conditions using an OVCAR-3 ovarian cancer cell model. The combination of cisplatin and ceranib-2, administered at a tolerable hyperthermic temperature o...
Celal Cengiz, Canan Vejselova Sezer, Bahri Gür et al.· Scientific Reports· 0 citations
The endoplasmic reticulum (ER) coordinates protein folding and lipid biosynthesis, while peroxisomes govern fatty-acid catabolism and redox balance. However, little is known about the mechanisms by which these organelles communicate. Here we show that activating transcription factor 6 (ATF6α), a cytoprotective ER-resid...
Feng Wang, Rukmini Mukherjee, Carsten Peukert et al.· bioRxiv (Cold Spring Harbor...· 0 citations
Lipid nanoparticles (LNPs) are widely explored as delivery vehicles for self-amplifying RNA (saRNA); however, incorporation of surface functionalities, such as fluorescent dyes for imaging and ligands for targeted delivery, remains challenging. In this study, we introduce a reactive poly(pentafluorophenyl acrylate) (PP...
Wen-Xuan Wang, Hao-Yan Liu, Wei-Jia Tang et al.· ACS Applied Bio Materials· 0 citations
Phytoplasmas are obligate, phloem-limited bacterial pathogens that reprogram host development through secreted effector proteins. The effectors characterized to date, including SAP11, SAP54/PHYL1, SAP05 and SWP1, act principally by binding and destabilizing host transcription factors. Although α/β-hydrolase-fold phytop...
Sneha Verma, Amit Yadav· bioRxiv (Cold Spring Harbor...· 0 citations
Phosphorus availability strongly influences the growth, metabolism, and storage accumulation of microalgae, yet its interaction with trophic conditions remains insufficiently understood. This study examined the effects of reduced initial phosphate concentration in the medium on the growth, phosphate consumption, and ac...
Ekaterina M. Bogdanova, I. Prokopiev, E. Kotlova et al.· Phycology· 0 citations
Frozen full-length ESM2-650M embeddings and five pretrained ProbJanusDDG fold models used for protein-stability prediction with median ensemble predictions and protein-weighted empirical standard/adaptive CV+ intervals. Companion code: https://github.com/bardu98/ProbJanusDDG, commit 6cbf41c500a9108b6c3e065e370b8946bbd1...
Guido Barducci· 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.