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protein folding

1,912 papers

#generative ai Nov 2026

DreamFold: A World Model to efficiently generate protein folding pathways in the latent space.

While there is an abundance of static data for the structure of biological macromolecules, the data regarding their folding mechanisms and dynamics is scarce, posing a challenge to the training of AI models. The World Model approach, which has been very successful in robotics, can come in handy in this regard. From lim...

Alan Ianeselli, J. Im, Eddie Cavallin et al. · 0 citations
#protein folding Open access Sep 2026

Evaluation of serum soluble triggering receptor expressed on myeloid cells-1 in polycystic ovary syndrome

Soluble triggering receptor expressed on myeloid cells-1 may serve as an indicator of the chronic inflammatory process in polycystic ovary syndrome and could be a complementary marker rather than a diagnostic marker for polycystic ovary syndrome.

T. Onat, S. Duz, Erdinç Sarıdoğan et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Does Learning Protein Folding Generalize to Broader Reasoning?

Large language models rely heavily on human text, which often conveys surface answers rather than the spatial and structural logic behind them. Protein folding is a natural testbed, because one solved structure yields thousands of exactly checkable spatial and topological statements. We ask: can learning to fold protei...

Yong Liu, Zhan-Peng Shi, Yi-Zhou Dang et al. · 0 citations
#protein folding Oct 2026

Effects of Catechin Binding on the Structure, Emulsifying Properties, and Antioxidant Activity of Egg White Protein

This study addressed the issues of easy aggregation and weak antioxidant capacity of egg white protein (EWP) in emulsion systems, aiming to simultaneously improve the emulsifying properties and antioxidant activity of EWP through non-covalent binding between EWP and polyphenols. Four catechin monomers with different st...

Yue GUO, Shijie DAI, Handong WU · 0 citations
#protein folding Oct 2026

Effects of disulfiram on proliferation, apoptosis and gefitinib resistance of lung cancer cell line H1975

Objective To investigate the effects of disulfiram (DSF) on the proliferation, apoptosis and gefitinib sensitivity of non-small cell lung cancer H1975 cells. Methods H1975 cells were cultured in vitro and treated with different concentrations of disulfiram for 24, 48, and 72 hours. The CCK-8 assay was used to assess th...

YIN Jie, WANG Xue, DENG Shukai · 0 citations
#protein folding Sep 2026

Early maternal plasma protein signatures identify preeclampsia risk in twin pregnancies

BACKGROUND Twin pregnancies have a two- to three-fold higher risk of preeclampsia (PE), but early prediction remains poor because current biomarkers and prediction models are largely derived from singleton pregnancies. Defining the biological changes that precede PE in twins may facilitate the development of more effec...

J. Li, Z. Fang, W. Tian et al. · 0 citations
#protein folding Open access Sep 2026

Genome-Wide Characterization and Heat Responsive Expression Profiling of the HSP10 Co-Chaperonin Gene Family in Brassica juncea

These findings identify candidate BjuHSP10 genes, particularly BjuHSP10-4 and BjuHSP10-5, as promising targets for heat-tolerance improvement in mustard, providing a foundation for future breeding and functional studies in polyploid crops.

W. Saeed, Zhang-Rong Chen, Samavia Mubeen et al. · 0 citations
#protein folding Open access Sep 2026

AcrSeek: Metric Learning with Hybrid Negative Mining for Anti-CRISPR Protein Detection under Extreme Class Imbalance.

A metric-learning framework that trains a projection head over a frozen protein language model (PLM) encoder with hybrid negative mining with hybrid negative mining under a joint triplet–focal objective that remains structurally robust under extreme class imbalance and may also serve other protein-function detection pr...

Chan-seok Jeong · 0 citations
#protein folding Preprint Sep 2026

Leveraging secondary-structure information for accurate nucleic acid structure prediction with OFoldNA

Recent advances in biomolecular structure prediction have enabled accurate modelling of increasingly complex molecular systems. However, nucleic acid structure prediction remains challenging because of conformational flexibility and the limited availability of high-quality 3D structural data. Secondary structure (SS) p...

Valhalla Team · 0 citations
#protein folding Sep 2026

In silico structural and functional characterisation of two hypothetical proteins from the plant‑associated bacterium Kosakonia cowanii F52

Findings generate specific, testable hypotheses and provide a foundation for future experimental work on the molecular basis of K. cowanii plant growth-promoting activity.

Md. Zahirul Islam, Md Jahid Hasan Dewan, A. B. Keyhani et al. · 0 citations
#protein folding Open access Sep 2026

Toxicological assessment of GenX in WPMY-1 normal prostate stromal cells: apoptotic responses, oxidative stress, and multi-pathway transcriptomic remodeling

GenX (ammonium perfluoro(2-methyl-3-oxahexanoate)) is an HFPO-DA-related PFAS replacement with emerging health concerns, yet its effects on prostate stromal cells remain poorly understood. This study investigated the cytotoxic, apoptotic, and oxidative effects of GenX in WPMY-1 human prostate stromal cells and characte...

Ji Won Park, Seon-Min Lee, Hye Jin Kim et al. · 0 citations
#protein folding Open access Sep 2026

From stability to specificity: mechanistic insights into the functions of two acyl carrier proteins, ApeE and ApeF, in aryl polyene biosynthesis in A. baumannii

Comparative analysis reveals that ApeE exhibits greater conformational plasticity, enabling it to accommodate bulky APE intermediates, reflecting its role in flexible substrate handling, while ApeE’s flexibility facilitates substrate switching necessary for APE biosynthesis.

Hyun-Wook Cho, C. Lee, Yangmee Kim · 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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