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protein folding

2,040 papers

#protein folding Open access Sep 2026

Formation and Ecological Dynamics of Synthetic Biofilms Derived from Microbial Components of the Cladonia arbuscula Thallus

Synthetic multi-species consortia provide valuable insights into the ecological and structural dynamics of complex microbial biofilms. However, the specialized functional contributions of individual components under severe nutrient limitations remain poorly understood. This study investigated the population dynamics, m...

T. Pankratov, A. Hakobjanyan · 0 citations
#protein folding Open access Sep 2026

A curated benchmark for cofolding models on kinase conformational states

KinConfBench is introduced, a curated benchmark of 2225 high-quality human kinase chains to evaluate the ability of four state-of-the-art cofolding models—Boltz-2, Chai-1, Protenix, and RoseTTAFold-All-Atom—to recover both canonical and rare conformational states.

Kun-Yang Sun, T. Head-Gordon · 0 citations
#protein folding Open access Sep 2026

Coupling intensified push–pull technology with insect frass biofertilization improves land productivity, protein yield and carbon stocks

We evaluated agricultural innovations such as push-pull (PP), vegetable-integrated push-pull (VIPP), and black soldier fly frass fertilizer (BSFFF) for their transformative potential in rural smallholder agriculture. Using 12 cropping systems comprising two crops (maize and cowpea), BSFFF and diversified systems (PP an...

E. Omuse, H. Machekano, D. Mutyambai et al. · 0 citations
#protein folding Review Sep 2026

YES1, a plasma-based biomarker for cavernous malformations.

A putative diagnostic biomarker for CCM, YES1, was demonstrated to be significantly elevated in the plasma of affected patients, with high correlative expression in the source tissue, which further support the development of CCM-related noninvasive biomarkers and may add insight into their pathogenesis.

Yousef Hattar, J. Sesen, Tyra Martinez et al. · 0 citations
#protein folding Open access Sep 2026

NitroXAI: An Interpretable Deep Learning Framework for Human S-Nitrosylation Site Prediction

NitroXAI v0.1.1 is an interpretable framework for residue-level S-nitrosylation (SNO) site prediction. The release provides two frozen ensemble predictors for identifying candidate S-nitrosylated cysteineresidues from complete protein sequences: • SNO-CLIM: a lightweight CNN-BiLSTM baseline using handcrafted biochemica...

Soumyadeep Ray, Ganesh Bagler · 0 citations
#protein folding Open access Sep 2026

Engineered genomic attachment sites for site-specific recombinases enable high-efficiency integration in plants and human cells.

Here we developed a DNA-centric strategy for optimizing site-specific recombination by rationally engineering chimeric attachment sites. The high-activity att variants enhance Bxb1-mediated integration efficiency in human cells and plants. Among these att variants, the engineered attB(V111) site achieved 51.9% integrat...

Lin-Li Yan, Ling Zhou, Qiang Gao et al. · 0 citations
#protein folding Open access Sep 2026

NitroXAI: An Interpretable Deep Learning Framework for Human S-Nitrosylation Site Prediction

NitroXAI v0.1.1 is an interpretable framework for residue-level S-nitrosylation (SNO) site prediction. The release provides two frozen ensemble predictors for identifying candidate S-nitrosylated cysteineresidues from complete protein sequences: • SNO-CLIM: a lightweight CNN-BiLSTM baseline using handcrafted biochemica...

Soumyadeep Ray, Ganesh Bagler · 0 citations
#protein folding Open access Aug 2026

Quantifying molecular specificity in excipient-driven antibody solubilization

It is shown that excipient-mediated solubilization of therapeutic antibodies is markedly molecularly specific, and the integration of high-throughput experimentation with molecular feature analysis offers a foundation for improving the understanding and prediction of antibody-specific formulation behavior.

Zexiang Han, Nadia A. Erkamp, Rob M. Scrutton et al. · 0 citations
#protein folding Preprint Aug 2026

FoldKit: A Python library for efficient storage and retrieval of co-folding predictions

FoldKit is introduced, a Python package for efficient storage and analysis of large-scale AF3 co-folding results that reduces storage requirements and facilitating programmatic access to relevant outputs, which facilitates large-scale computational studies of biomolecular interactions.

Jonathan A. Levine, M. Pathil, Samuel Nitz et al. · 0 citations
#protein folding Open access Aug 2026

Dehydrocorydaline Accelerates Palatal Wound Healing in Mice Through Suppression of the p38 MAPK/CCL2 Axis and Macrophage Chemotaxis: A Preliminary Study

Investigating whether DHC accelerates palatal wound healing and to elucidate the role of the p38 mitogen-activated protein kinase (MAPK)/CCL2 signaling axis in DHC-mediated regulation of macrophage chemotaxis demonstrated that DHC accelerated palatal wound healing 1.6-fold in mice.

Yingyi Chen, Zhao-Nan Liu, Yi-Jia Wang et al. · 0 citations
#protein folding Open access Aug 2026

5 A multivariate plasma biomarker model enabling safe exclusion of glioblastoma

A plasma-based multivariate biomarker model enables accurate, safe exclusion of glioblastoma and supports diagnostic triage alongside neuro-imaging and maintains an extremely high NPV (>0.999), consistent with its intended role as a high-sensitivity exclusion tool rather than a confirmatory test.

M. J. Decarpentrie, C. David, J. Favresse 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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