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protein folding

1,957 papers

#protein folding Open access Sep 2026

Computational design of a thermostable α-helical barrel protein with tunable active-site positioning

Over the last decades, transformative catalytic strategies have emerged, with biocatalysis currently exerting a substantial influence on the pharmaceutical and fine chemical sectors. Fast progress in the design of efficient enzymatic processes, however, suffers from the lack of readily available, stable, and customizab...

Wael Elaily, David Stoll, Morakot Chakatok et al. · 3 citations
#protein folding Sep 2026

Tumor-responsive hyalo-chitosan nanoparticles for targeted delivery of andrographolide in CD44+ breast cancer cells.

Andrographolide (AG) has been reported for its anticancer activity. However, it is classified as a class IV in the biopharmaceutics classification system (BCS). Therefore, AG possesses low bioavailability due to its low solubility and permeability. In this study, hyaluronic acid-coated chitosan nanoparticles (Hyalo-CS-...

Sohaila A. Shoala, H. Abbas, H. Elbedaiwy et al. · 0 citations
#protein folding Sep 2026

Conformational insights into the unfolding pathway of RNA recognition motif (RRM) domain of TAF15 associated with amyotrophic lateral sclerosis.

An extensive molecular dynamics simulations study to investigate the conformational dynamics and unfolding pathway of the TAF15-RRM domain in 8 M urea revealed that unfolding proceeds through stable, denaturant/temperature-accelerated partially unfolded intermediate ensembles that, by analogy with aggregation-prone int...

Vishakha Chaudhary, Priyanka Kataria, Kusum Yadav et al. · 0 citations
#protein folding Sep 2026

Decoupling viscosity induced fluorescence from HSA-induced absorption modulation in a chromyl-naphthyl molecular rotor.

Molecular rotors are valuable probes for studying local microenvironments because their optical behavior is closely linked to conformational dynamics. In this study, a chromyl-naphthyl (HCNP) donor-π-acceptor molecular rotor was developed for viscosity-responsive fluorescence and selective interaction with human serum...

Anju Ranolia, L. Narayan, M. K. Katiyar et al. · 0 citations
#machine learning Preprint Sep 2026

SPINET: Sheaf Protein Inverse Folding Network

SPINET is introduced, which predicts sequences from molecular dynamics trajectories that uses cellular sheaves to represent residue interactions within each frame and recurrent units to integrate information across frames, then predicts all amino acids in a single pass.

Jens Lundsgaard, Colin Mikulski, Zhi-Xuan Yan et al. · 0 citations
#protein folding Sep 2026

LNA-Modified DNAzyme Nanomachines Enable Physiological-Temperature Recognition of Double-Stranded DNA

Sequence-specific detection of double-stranded DNA (dsDNA) under physiological conditions remains challenging because the complementary strand is inaccessible to conventional oligonucleotide probes, often requiring thermal denaturation or protein-assisted strand separation. Here, we developed a binary DNAzyme (BiDz)...

M. Ateiah, Vladislav A. Reushev, Nairouz Deeb et al. · 0 citations
#protein folding Open access Sep 2026

Non-target-site resistance mechanisms to glyphosate in Eleusine indica from Xinjiang cotton fields

Glyphosate resistance in weeds is often mediated by target-site changes in 5-enolpyruvylshikimate-3-phosphate synthase (EPSPS), but non-target-site resistance (NTSR) mechanisms are increasingly recognized as important contributors to field-evolved resistance. Here, we characterized a glyphosate-resistant Eleusine in...

Yun-Long Li, Yi-Kai Dong, Yueh-Chih Su et al. · 0 citations
#protein folding Open access Sep 2026

A clinically applicable nomogram for predicting recurrent spontaneous abortion using coagulation and autoimmune markers

A combined biomarker model integrating coagulation and immune parameters provides moderate-to-good predictive performance for RSA, which may facilitate early risk stratification and individualized management, although external validation is required before routine implementation.

Yu-Cu Xie, Ping-Ping Huang, Xiao-Fen Gao et al. · 0 citations
#protein folding Open access Sep 2026

Magnetic graphene oxide improves the expression of some human cumulus cells biomarkers

Low concentrations of MGO enhanced human CC viability, reduced apoptosis, and boosted antioxidant defenses and proliferation-related pathways suggest MGO’s biomedical potential in cell survival and anti-apoptotic effects on reproductive medicine research.

Fahimeh Kabiri, T. Foroutan, Roghiyeh Pashaei-Asl et al. · 0 citations
#protein folding Open access Sep 2026

Golden Ratio Encoded in Icosahedral Capsid Geometry via Caspar-Klug T-Numbers — E8 Intelligence Research

FINDING: Icosahedral viral capsid geometry is governed by the Caspar-Klug T-number, which quantizes the surface lattice into pentamer/hexamer clusters, directly encoding the golden ratio in its pentagonal substructure. | MATH: T = h² + hk + k² (h,k ≥ 0 integers); capsid has 60T protein subunits; 12 pentamers + 10(T−1)...

Andrew Stewart Caldin · 0 citations
#protein folding Sep 2026

Thermodynamics and Kinetics of Dimerization-Coupled Fold Switching in the Chemokine XCL1.

Metamorphic proteins challenge the classical view of protein folding by reversibly interconverting between two distinct, stable native structures. XCL1 (lymphotactin) is a prototypical example, transitioning between a monomeric mixed- α / β chemokine fold and an alternate all- β fold that forms a stable dimer. Here we...

B. Seifi, Greg de Souza, Stefan Wallin · 0 citations
#protein folding Open access Sep 2026

φ^∞ Lattice-Accelerated Protein Folding: O(N) Structural Prediction via Resonant Manifolds

First public release. Deterministic φ-lattice protein folding engine for the Nexus Resonance Codex (NRC), built on the Trageser Tensor Theorem (TTT) and 2048D φ-spiral manifolds. Experimental research code; APIs may evolve — pin the version.

James Trageser (jtrag) · 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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