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protein folding

1,975 papers

#protein folding Open access Sep 2026

Proximity biotinylation at the host-Shigella interface reveals UFMylation as an antibacterial pathway

A proximity biotinylation approach coupled to quantitative mass spectrometry that maps the host-bacterial interface during infection identifies UFMylation as an ancient antibacterial pathway and holds great promise to reveal other cell-autonomous immunity mechanisms.

A. T. López-Jiménez, Fabien Théry, Kathryn Wright et al. · 0 citations
#protein folding Open access Sep 2026

Fusion of a non-specific DNA-binding domain enhances Cas12a trans-cleavage for robust nucleic-acid diagnostics

CRISPR–Cas12a underlies powerful genome-editing and nucleic-acid detection technologies, yet its performance is limited by inefficient target engagement and low catalytic turnover, particularly at low target abundance and elevated temperatures. Here, we report a modular protein-engineering strategy to enhance Cas12a tr...

Diogo Figueiredo, Mitsuru Hattori, Tetsuichi Wazawa et al. · 0 citations
#protein folding Open access Sep 2026

Residual lipid-related proteomic and metabolomic signatures associated with major adverse cardiovascular events after revascularization in peripheral artery disease

Integrated proteomic and metabolomic profiling revealed residual lipid-related molecular signatures beyond conventional lipid parameters in patients with PAD undergoing lower-extremity revascularization, supporting further validation of molecular biomarkers for postoperative cardiovascular risk stratification in PAD.

Shao-Bo Cao, Bo-Wen Zhang, Peng Li et al. · 0 citations
#diffusion models Open access Sep 2026

Per-Stage Controls and Failure Modes in a Co-Folding Virtual Screening Cascade for the Keap1–Nrf2 Interaction

Virtual-screening cascades assembled from co-folding and learned-affinity models are now routine, and each stage is usually trusted on the strength of its own score. We measured, stage by stage, whether those scores carry the information a practitioner would attribute to them, using the Keap1–Nrf2 protein–protein inter...

H L Le · 0 citations
#protein folding Open access Sep 2026

Theoretical Studies of Molecular Magnetism and Molecular Recognition, and Experimental Studies of the Extracellular Domain of the Nicotinic Acetylcholine Receptor

Investigations of molecular magnetism, molecular recognition, and the nicotinic acetylcholine receptor are reported. Chapter 2 Studies of the spin state preferences of organic biradicals provide information valuable for the design of molecular magnetic materials. Ab initio calculations on pyridine and pyridinium analog...

West, Anthony Paul, Jr. · 0 citations
#protein folding Open access Sep 2026

Genome-scale perturbation signatures from primary human CD4+ T cells improve genetics-based prioritization of immune drug targets

It is highlighted that perturbational signatures in the disease-relevant human cell type harbor target-relevant signals beyond human genetics, offering a generalizable route to indication-specific prioritization as perturbation atlases expand.

Alexander L. Han, Max Slotnik, David A. Fox et al. · 0 citations
#protein folding Open access Sep 2026

Reviewer #2 (Public review): Two Glu/Asp Residues Cooperatively Mediate an Early Step of ATP Hydrolysis in GHKL ATPases MutL and GyrB

GHKL ATPases share a unique Bergerat ATP-binding fold and regulate diverse biological processes through ATP-dependent conformational changes. An early step of ATP hydrolysis in this family has been attributed to a single highly conserved glutamate residue proposed to function as the general base. However, mutations of...

Kenji Fukui, Ayaka Shibuya, Takeshi Murakawa et al. · 0 citations
#protein folding Open access Sep 2026

The fold-switching benchmark for multi-state structure prediction is 53% near-isomorphic: on the audited strict tier, AlphaFold2's two-state recovery is 0/23

Evaluating multi-state structure prediction requires a reference set that can distinguish genuine two-state recovery from a single-fold output that happens to match two similar reference states — and the de facto standard, the 92 experimentally characterized fold-switching proteins on which the field has evaluated sinc...

Zeyuan Ma · 0 citations
#protein folding Open access Sep 2026

eLife Assessment: Two Glu/Asp Residues Cooperatively Mediate an Early Step of ATP Hydrolysis in GHKL ATPases MutL and GyrB

GHKL ATPases share a unique Bergerat ATP-binding fold and regulate diverse biological processes through ATP-dependent conformational changes. An early step of ATP hydrolysis in this family has been attributed to a single highly conserved glutamate residue proposed to function as the general base. However, mutations of...

Axel T. Brünger · 0 citations
#protein folding Open access Sep 2026

Atypical RanGAP drives nucleocytoplasmic transport in a parasitic Alveolate

Transport of macromolecules between the nucleus and cytoplasm requires a gradient of the small GTPase, Ran. Ran:GTP marks the nucleus because Ran activity requires a cytoplasmic GTPase activating protein (RanGAP) for GTP hydrolysis. As expected for such central and essential cellular machinery, both Ran and RanGAP are...

Pravin S. Dewangan, Michael L. Reese · 0 citations
#protein folding Open access Sep 2026

Before the Threshold: Hyperinsulinemia as a Candidate Modifiable Driver of β-Cell Exhaustion in Genetically Burdened, Normoglycemic Offspring of Patients With Type 2 Diabetes — A Translational Hypothesis and Prototype Risk Matrix for Trial Design

Background. Type 2 diabetes mellitus (T2DM) is diagnosed at decompensation thresholds — fasting plasma glucose (FPG) ≥126 mg/dL or HbA1c ≥6.5% — that typically declare disease only after substantial β-cell loss. Normoglycemic offspring of parents with T2DM carry several-fold lifetime risk yet receive no structured surv...

Alireza Zare banadkouki · 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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