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protein folding

1,973 papers

#protein folding Open access Sep 2026

Prediction of Suspected Choledocholithiasis: A Comparison of Diagnostic Performance of ML Algorithms Against Current Guidelines

Introduction Choledocholithiasis or common bile duct stones (CBDS) is a frequent cause of hospitalization. Confirmed stones are usually removed by Endoscopic Retrograde Cholangiopancreatography (ERCP), but this procedure carries significant risks (infection, perforation, hemorrhage). Current guidelines from the Europea...

Daniela Pacella, Fabrizio D’Acapito, Adriano De Simone · 0 citations
#protein folding Open access Sep 2026

Stochastic Chemical Kinetics and Free-Energy Landscape Reconstruction in Non-Equilibrium Protein Folding Dynamics

We present a theoretical and numerical study of protein folding kinetics and conformational transitions in complex free-energy landscapes using generalized Langevin equations with memory kernels and Fokker-Planck formalisms. Moving beyond standard deterministic approaches, we investigate non-equilibrium folding dynamic...

Henrietta Volkova · 0 citations
#protein folding Open access Sep 2026

A Multi-Epitope FimH-CsgA-OmpA-Based Vaccine Induces Broad Anti-Adhesion Activity and Protects Chickens Against Avian Pathogenic Escherichia coli O2 Challenge

Avian pathogenic Escherichia coli (APEC) causes substantial economic losses in the poultry industry, and vaccines capable of providing protection across diverse APEC strains remain needed. In this study, a FimH-CsgA-OmpA multiepitope fusion antigen (MEFA) was constructed and evaluated for immunogenicity, in vitro anti-...

Jiayu Cui, Mingqing Shao, Long Wang et al. · 0 citations
#protein folding Sep 2026

Self-Assembled PEDV Virus-Like Particle Nanovaccines Elicit Potent Neutralizing Antibodies and Confer Full Protection in Piglets.

Porcine epidemic diarrhea virus (PEDV) remains a major threat to the global swine industry, with current inactivated vaccines offering limited cross-protection due to imperfect antigen design and weak immune activation. Here, we engineered a full-structural-protein virus-like particle (VLP) co-assembled with PEDV S, M,...

Fei-Yang Jiang, Lian-Mei Bai, Yan-Yuan Zhang et al. · 0 citations
#protein folding Open access Sep 2026

Quantum Cybernesis: Seed IQ-Enabled Higher-Order Intelligence - An Intelligence That Recognizes the Limits of Its Own Representation, Reforms It, Computes Beyond Classical Reach with Quantum, and Continues Discovering From the Result Recursively - Surpassing AlphaFold, AlphaEvolve, and Dream-RSI Across Molecular Biology and Mathematics

Abstract: Classical AI answers from inside a representation fixed before the question arrives. What that representation can express, the system can answer; what lies outside it, no amount of parameters, data, search, or compute reaches. AlphaFold predicts through a learned representation; AlphaEvolve searches a space o...

Denise Holt, Denis Ovseyenko · 0 citations
#protein folding Open access Sep 2026

Enrichment of the Antioxidant Capacity of Stirred-Type of Hypoallergenic and Lactose-Free Yogurt with Cylindra-Type Beetroot (Beta vulgaris L.) Peel Extract

In this investigation, the antioxidant capacity of stirred-type hypoallergenic and lactose-free yogurt was improved using cylindra-type beetroot peel extract. Milk proteins were hydrolyzed with papain at different concentrations (0.008 g·L−1 and 0.012 g·L−1) and, subsequently, milk with papain-hydrolyzed proteins were...

Kenbon Beyene Abdisa, Moh Moh Zin, Adrienn Vargáné Tóth et al. · 0 citations
#protein folding Sep 2026

Abstract B005A: Tumor-enriched alternative splicing in pediatric central nervous system tumors reveals amyloid precursor protein exon 8 inclusion as a candidate therapeutic target

Abstract Alternative splicing (AS) is dysregulated in pediatric CNS tumors, including high-grade gliomas (HGGs) and atypical teratoid/rhabdoid tumors (ATRTs) which have poor survival outcomes and urgently need new therapeutic strategies. AS is increasingly being explored as a source of tumor-specific antigens for immun...

Ryan Corbett, Meghali Goswami, Patricia Sullivan et al. · 0 citations
#protein folding Open access Sep 2026

Stochastic Chemical Kinetics and Free-Energy Landscape Reconstruction in Non-Equilibrium Protein Folding Dynamics

We present a theoretical and numerical study of protein folding kinetics and conformational transitions in complex free-energy landscapes using generalized Langevin equations with memory kernels and Fokker-Planck formalisms. Moving beyond standard deterministic approaches, we investigate non-equilibrium folding dynamic...

Henrietta Volkova · 0 citations
#protein folding Open access Sep 2026

Aspartic Protease Inhibition as an Anti-Malarial Strategy

Due to rising drug resistance, novel therapeutics are needed to combat the causative agent of malaria, Plasmodium spp.. Aspartic protease inhibition has emerged as a promising frontier for anti-malarial development as P. falciparum expresses five essential aspartic proteases in its symptomatic erythrocytic stages. Thes...

Katherine Floyd · 0 citations
#protein folding Open access Sep 2026

Plasma proteomic profiling in dogs with pheochromocytoma

Dogs with PCC exhibit a distinct circulating protein signature vs healthy controls, providing clues to PCC pathogenesis and nominating proteins as diagnostic biomarker candidates and potential therapeutic targets.

Marit F. van den Berg, A. Rodríguez-Rojas, P. Doulidis et al. · 0 citations
#machine learning Preprint Sep 2026

MT-ProtBERT: Multi-task Learning ProtBERT for Intrinsically Disordered Proteins Classification with Scarce Data

MT-ProtBERT consistently outperforms PARROT, an RNN-based IDP-specific model, across all tasks, and demonstrates that combining self-supervised and biochemistry-informed tasks, and multi-scale learning enables robust modeling of unstructured proteins under data scarcity.

Jian Sun, Kingshuk Ghosh, Lilianna Houston et al. · 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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