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protein folding

2,347 papers

#graph neural networks Open access Oct 2026

FlexENN: A Graph Neural Network for Binding Energy Prediction of Globular and Intrinsically Disordered Proteins

Abstract Intrinsically disordered proteins (IDPs) drive a large fraction of cellular signaling, transcription, and assembly through interfaces that often lack a defined geometry, making the prediction of their binding energies challenging for methods developed primarily for folded complexes. Here, we introduce FlexENN,...

Maryum Irshad, Kassandra Ori-McKenney, Ruxandra I. Dima · 0 citations
#protein folding Review Open access Oct 2026

Clinical and molecular insights into primary ciliary dyskinesia: Genotype-phenotype correlation and protein interaction networks in an Indian retrospective cohort.

Understanding of PCD variants in the Indian population is enhanced and the value of combining clinical evaluations with genomic and structural analyses is highlighted, as PPI and GO analyses reveal disrupted ciliary pathways linked to PCD.

Janani Balaji, Anitha M. Barney, Madhan Kumar et al. · 0 citations
#protein folding Oct 2026

Probing transcript RNA G-quadruplexes using an engineered RHAU-RNase HI enzyme.

G-quadruplexes (G4s) in functional RNAs regulate telomere maintenance, mRNA processing, and disease pathways, but their detection in long transcripts is limited by biophysical methods. Herein, we engineered RHAU-RNase HI, fusing the G4-binding RHAU domain (aa 53-192) with RNase HI (Bacillus halodurans), to probe RNA G4...

K. H. Ngo, T. T. Nguyen, D. T. Dang · 0 citations
#protein folding Open access Oct 2026

Recurrent catalytic-site change and electrostatic remodeling across the HEPN ribonuclease fold.

Together, these results establish recurrent catalytic-state change and physicochemical remodeling of the ancestral HEPN cleft, whether such remodeling corresponds to altered binding, regulation, or another molecular function remains a hypothesis requiring experimental testing.

M. Zimmer · 0 citations
#protein folding Oct 2026

KPTM-MCHR: A multichannel hypergraph regression model for predicting the frequencies of lysine post-translational modification types in proteins.

This study presents a pioneering model for predicting the frequency of protein K-PTM types, and examines the relationship between protein similarity and differences in K-PTM-type frequency to investigate why the model can successfully predict this target.

Lei Chen, Xin-Xiang Zhu, Xiao-Hui Wang et al. · 0 citations
#protein folding Open access Oct 2026

The Coherence Response Index: predicted microRNA targets show no coherent regulation in chemically exposed mouse embryonic stem cells.

Toxicogenomic studies increasingly promote microRNA (miRNA) expression changes as chemical-toxicity biomarkers and infer their meaning from computationally predicted messenger RNA (mRNA) targets, rarely testing those predictions against matched mRNA data. We present the Coherence Response Index (CRI), an open, expressi...

Hidenori Tani · 0 citations
#protein folding Open access Oct 2026

Template-dependent conformational remodeling induced by matched mutation sets in an artificial metalloenzyme.

An ensemble-based model in which pre-existing conformational organization shapes how the protein responds to the matched mutations is supported and stability-engineering mutations should be evaluated in the context of the parent ensemble is argued.

Shiqinrui Xu, Yi Yuan, Shuo-Cheng Wang et al. · 0 citations
#protein folding Open access Oct 2026

Autophagy Regulates Foxo1 Protein Abundance to Control Hepatic Glucose Production in Glucagon Signalling.

Findings identify autophagy-regulated amino acid homeostasis as a critical mechanism that sustains Foxo1 protein abundance and supports glucagon-responsive hepatic metabolic adaptation during fasting.

Zheng Shen, Wan-Bao Yang, Quan Pan et al. · 0 citations
#protein folding Open access Oct 2026

Structural and Evolutionary Analysis of Non-specific Lipid Transfer Proteins (nsLTPs) in Cereus (Cactaceae).

The results provide the first integrated characterization of nsLTPs in Cereus, supporting a gate-modulation hypothesis in which structural variation concentrated at tunnel entrances may contribute to functional diversification while preserving the conserved nsLTP fold (four-helix scaffold).

M. I. O. Cardoso, J. A. Teodoro, T. Costa-Silva et al. · 0 citations
#protein folding Review Oct 2026

Targeting protein misfolding and aggregation in neurodegenerative diseases: challenges for the identification and validation of targets for small molecules.

The mechanisms of protein folding, misfolding, aggregation, and prion-like propagation in major neurodegenerative proteinopathies, including amyloid-beta and tau in Alzheimer's disease, alpha-synuclein in synucleinopathies, TDP-43 and FUS in ALS/FTLD, polyglutamine-expanded proteins, prion proteins, and rare hereditary...

A. Choudhury, Sneh Prabha, Mohammad Umar Saeed et al. · 0 citations
#protein folding Oct 2026

Studies on Phenylalanine Metabolism in Enhancing the ε-Polylysine-Mediated Killing Effect of Oxytetracycline-resistant Aeromonas hydrophila.

AIMS Aeromonas hydrophila is a zoonotic pathogen, and its prevalence of drug resistance underscores the urgency of elucidating alternative bactericidal strategies. This study employed the oxytetracycline-resistant strain OTC-A01 to investigate the bactericidal mechanism of ε-polylysine (ε-PL). METHODS AND RESULTS Wit...

Huan Lin, Dan-Feng Zhang, Qiu-Qiang Zhu et al. · 0 citations
#protein folding Oct 2026

Resistance characterization and potential resistance mechanism of cyromazine, a moulting disruptor, to Drosophila melanogaster.

BACKGROUND Moulting is a crucial process in the growth and development of insects and is also a key focus in the development of insecticides. Cyromazine, a moulting disruptor, is widely used to control dipteran pests, yet its mechanism of action and the genetic basis of resistance remain unclear. This study aimed to sy...

Fan Zhang, Yu-Qiu Xie, Yan-Chao Zhang 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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