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protein folding

2,054 papers

#protein folding Open access Aug 2026

Evaluation of dietary Bacillus-based commercial probiotics in broiler chickens

Abstract Commercial Bacillus-based probiotics are widely used in poultry production, but their biological mechanisms of action in broiler chickens are still not fully understood. This study evaluated the effects of dietary supplementation with Bacillus-based commercial probiotics on the performance, meat and tibia trai...

V. Vu, Soo-Ki Kim, H. Bui et al. · 0 citations
#protein folding Aug 2026

Long-Term Dietary Supplementation with Pearl Oyster Shell-Derived Nacre Extract Improves Cognitive Performance and Attenuates Alzheimer’s Disease-Like Pathology in APPNL-G-F/NL-G-F Knock-In Mice

Nacre supplementation was associated with improved performance in the Y-maze and novel object recognition tests, reduced amyloid-β deposition and Congo red-positive plaque burden, lower phosphorylated tau immunoreactivity, and fewer histologically degenerated hippocampal neurons.

Kanae Ohara, Heng Zhang, Hiroto Shibata et al. · 0 citations
#protein folding Review Open access Aug 2026

Architectural logic of the 3D genome: mechanisms of dysregulation and emerging cancer therapeutics.

A unified view is provided of how genome structure is established, how it relates to function, and how its disruption contributes to tumorigenesis, suggesting that alterations in genome structure can, in some contexts, actively reshape oncogenic programs.

Rebecca G. Smith, Hannah M. Wilson, Kathleen L. Schiela et al. · 0 citations
#protein folding Open access Aug 2026

Comparative protein engineering redirects the specificity of Clostridium botulinum proteases.

A comparative protein engineering strategy that integrates prior mutagenesis, bioinformatics, and structural insights to reprogram LC protease specificity is reported, establishing comparative protein engineering as an effective framework for retargeting botulinum neurotoxin proteases.

J. E. Garrido, G. S. Salcedo, Max W. Strul et al. · 0 citations
#protein folding Open access Aug 2026

A binding-to-release strategy for targeted anticancer drug delivery.

A framework that overcomes the internalization barrier, broadening the target scope for therapeutic and diagnostic conjugates is established and extended BTR to programmed cell death ligand 1 (PD-L1) and an mRNA-display-derived FAP peptide, suggesting potential broad applicability.

Zihao Wen, Mengxin Xu, Zi-Jun Yan et al. · 1 citation
#protein folding Open access Aug 2026

Reconciliation of titer differences between SARS-CoV-2 neutralizing antibody assays

Three commonly used types of neutralization assay were compared and strong correlations and significant differences in measured neutralization between the different assays were found, highlighting areas for more precise and harmonized terminology and particular assay elements that must be considered in efforts to harmo...

E. Stadler, F. Mordant, Matthew J. Gartner et al. · 0 citations
#protein folding Open access Aug 2026

The molecular basis of mitochondrial crista formation by the MIC10 complex

It is found that the MIC10 proteins Mic10, Mic26, and Mic27 strongly recruit cardiolipin at conserved positive loop motifs, driving oligomerization of these subunits and resulting in the stabilization of curvature in model membranes.

C. Brown, T. Wassenaar, Z. Freyberg et al. · 0 citations
#protein folding Preprint Aug 2026

AgentFold: Closed-Loop Agentic Search for Protein Folding Model Design

AgentFold is presented, a multi-agent framework that formulates folding-model development as a closed-loop search over executable code variants and improves the best lDDT by 7.5% over independent Codex proposals and outperforms a random-search control.

Ming-Quan Liu, Jiangyue Chen, Han-Qun Cao et al. · 0 citations
#protein folding Open access Aug 2026

Preventing relapse in ulcerative colitis remission maintenance: machine learning prediction and reinforcement-learning herbal prescription optimization with external validation

Combining interpretable relapse prediction with reinforcement learning offers a personalized decision-support framework for optimizing herbal treatment intensity during UC remission maintenance.

Yan Li, Jie Liu, Jian Kang · 0 citations
#protein folding Review Open access Aug 2026

Large language models in bioinformatics: a comprehensive survey

This survey reviews the basic principles of LLMs and summarizes representative applications in gene and genome sequence analysis, protein structure and function prediction, and drug design, including virtual screening and personalized medicine.

Zhi-Gang Meng, Zhi-Kai Yang, Mingming Zhu et al. · 0 citations
#protein folding Open access Aug 2026

Human iPSC-cardiomyocyte-aggregate cell therapy in non-human primates and correlation of heart recovery with contractile and electrophysiological cardiomyocyte properties

This study demonstrates the successful production and injection of human induced pluripotent stem cell cardiomyocyte aggregates into infarcted cynomolgus monkey hearts, resulting in substantial, structured human grafts three months after cell transplantation, and uncoupling of cardiomyocyte production from transplantat...

I. Gruh, Andreas Martens, S. Cebotari et al. · 0 citations
#protein folding Open access Aug 2026

Diesel particulate matter induces dose-dependent cytotoxicity, multi-faceted inflammation, MAPK activation, and oxidative stress in RAW 264.7 macrophages: an integrated transcriptomic and protein–protein interaction network analysis

Beyond classical inflammation, these integrated findings reveal coordinated network-level perturbations consistent with ferroptosis vulnerability, genome instability, paradoxical immune dysregulation, and potential macrophage identity loss consistent with ferroptosis vulnerability, genome instability, paradoxical immun...

Hye Jin Kim, Ji Won Park, Seon-Min Lee 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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