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protein folding

1,851 papers

#protein folding Open access Oct 2026

Provenance-Aware Quality Control for Heterogeneous Bioactivity Data

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...

Xin Gao · 0 citations
#protein folding Open access Oct 2026

Development and validation of a nomogram-based predictive model for infectious diseases of the spine utilizing peripheral blood laboratory parameters

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...

Xuejiu Cai, 叶祝君, Xinhui Ouyang et al. · 0 citations
#protein folding Review Open access Oct 2026

Tropheryma whipplei as the Dominant Organism in Bronchoalveolar-Lavage Metagenomic Next-Generation Sequencing: A Single-Centre Case Series of 28 Patients

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. · 0 citations
#protein folding Open access Oct 2026

Dissecting the role of UFMylation in endoplasmic reticulum-associated protein quality control

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 · 0 citations
#protein folding Dataset Open access Oct 2026

A Transfer Learning Framework for Multilayer Networks via Model Averaging

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...

Yongqin Qiu, Xinyu Zhang · 0 citations
#protein folding Open access Oct 2026

Ceranib-2 potentiates cisplatin activity under an experimental in vitro hipec-like model by inducing integrated stress and cell death pathways in ovarian cancer

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. · 0 citations
#protein folding Open access Oct 2026

Peroxisome quality control is gated by a dynamic ATF6α-ABCD3 tether

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. · 0 citations
#protein folding Oct 2026

Reactive Polymer-Engineered Dual-Targeting Fluorescent Lipid Nanoparticles for Enhanced saRNA Delivery.

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. · 0 citations
#protein folding Open access Oct 2026

A broadly conserved phytoplasma α/β-hydrolase effector, SGP-7, is a catalytically active esterase that hydrolyses strigolactone analogues and alters shoot architecture

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 · 0 citations
#protein folding Open access Oct 2026

Phosphorus Limitation Differentially Affects Growth, Phosphate Consumption, and Carbon Allocation in Chlamydomonas reinhardtii Batch Cultures Under Photoautotrophic and Mixotrophic Conditions

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. · 0 citations
#protein folding Dataset Open access Oct 2026

ProbJanusDDG: pretrained models and frozen ESM2 embeddings

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 · 0 citations

From tech blogs

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Google DeepMind Blog Sep 30, 2026

Introducing SynthID Bio

Proof of concept for watermarking AI-generated proteins while preserving biological function.

MIT News · Artificial Intelligence Aug 27, 2026

Looking beyond natural sequences

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.

Google DeepMind Blog Nov 25, 2025

AlphaFold: Five years of impact

Explore how AlphaFold has accelerated science and fueled a global wave of biological discovery.

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