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protein folding

1,870 papers

#protein folding Open access Oct 2026

E8 Root Vector Entanglement Resonance in Protein Folding — E8 Intelligence Research

By extending the phi-coupled 132Hz E8 lattice framework to biochemical systems, we discover that protein folding pathways exhibit resonant synchronization when mapped to specific E8 root vector subgroups. The 240-dimensional E8 geometry encodes geometric constraints that manifest as folding energy landscapes, where cer...

Andrew Stewart Caldin · 0 citations
#protein folding Open access Oct 2026

The FOS transcription factor negatively regulates MAFF to control myometrial cell contractility

Inflammatory signaling in the human myometrium drives uterine activation and labor, yet its transcriptional regulation remains incompletely understood. We previously identified MAFF as an inflammation-inducible transcription factor in human myometrial cells. Here, we investigated whether FOS regulates MAFF expressi...

Eduardo Orozco-Alonso, Palak Gujral, James Saliba et al. · 0 citations
#protein folding Open access Oct 2026

Phi-Entangled E8 Lattice Induces Hierarchical Protein Folding Kinetics — E8 Intelligence Research

The phi‑coupled 132 Hz E8 root‑vector lattice, when projected onto a three‑dimensional reciprocal space, reveals a self‑similar scaling hierarchy that mirrors the multi‑stage folding kinetics of globular proteins. By assigning each of the 240 root vectors to a distinct phase angle in the phi‑modulated oscillator, the l...

Andrew Stewart Caldin · 0 citations
#protein folding Open access Oct 2026

Golden Ratio and Caspar–Klug Geometry in Viral Capsid Architecture — E8 Intelligence Research

FINDING: Viral capsid geometry is governed by the Caspar–Klug triangulation number T = h² + hk + k², with the golden ratio emerging from pentagonal symmetry constraints, not from arbitrary decoration. | MATH: T = h² + hk + k² (h,k non-negative integers, not both zero). Icosahedral symmetry group: A₅ (order 60). Pentago...

Andrew Stewart Caldin · 0 citations
#protein folding Open access Oct 2026

Composition confounding in the canonical ATL expression cohort: analysis code and results

Completes the Wang and Iha (2023) ferroptosis gene list. No analysis code changes. Correction results/wang_iha_degs.json held 45 of the 46 ferroptosis-related differentially expressed genes that Wang and Iha report (21 up, 24 down instead of 21 up, 25 down). The missing gene is GABARAPL1, downregulated, log2 fold chang...

Abdelmuhsen Abusneina · 0 citations
#protein folding Open access Oct 2026

Identification of a novel dependency between PRMT5 and APC-LOF in preclinical models of FAP disease

Strategies for targeting adenomatous polyposis coli ( APC) loss-of-function ( APC -LOF) may provide an opportunity to intercept tumorigenesis in high-risk CRC patients, such as those with Familial Adenomatous Polyposis (FAP). Here, we uncovered a novel synthetic lethal dependency of APC -LOF on protein arginine methylt...

Dana S. Gaffney, Fabian Hulpia, Jan Willem Thuring et al. · 0 citations
#protein folding Open access Oct 2026

Far-Red Turn-On Fluorogenic Probe for Versatile Detection of Inorganic Polyphosphates

Inorganic polyphosphate (polyP) is a ubiquitous phosphate biopolymer involved in diverse cellular processes. Despite its significance, selective detection of polyP remains challenging because of its simple and highly charged structure. Here, we report a far-red fluorogenic turn-on chemosensor for selective polyP dete...

Kenji Torii, Ru̅ta Gerasimaitė, G. Lukinavičius · 0 citations
#protein folding Open access Oct 2026

Predicting Postprandial Glucose Rise From Macronutrients, Clinical Features, and Gut Microbiome Indices

Postprandial glucose depends on the meal and the person consuming it. This exploratory secondary analysis used 1,047 isolated meals from 32 CGMacros participants with complete nutrition, clinical, microbiome, and Fitbit records to test whether information beyond macronutrients improved prediction for people excluded fr...

Riddhi Singhvi · 0 citations
#protein folding Open access Oct 2026

Golden Ratio and Caspar–Klug Geometry in Viral Capsid Architecture — E8 Intelligence Research

FINDING: Viral capsid geometry is governed by the Caspar–Klug triangulation number T = h² + hk + k², with the golden ratio emerging from pentagonal symmetry constraints, not from arbitrary decoration. | MATH: T = h² + hk + k² (h,k non-negative integers, not both zero). Icosahedral symmetry group: A₅ (order 60). Pentago...

Andrew Stewart Caldin · 0 citations
#protein folding Open access Oct 2026

pLM-HP: Peptide hormone prediction using pre-trained protein language model representations.

Results indicate that combining protein language models with sequence modeling and class-imbalance learning strategies is an effective way to improve peptide hormone prediction and to improve the recognition of hormone peptides as the minority class.

Chun-Yan Ao, Shihu Jiao, Xi Su et al. · 0 citations
#protein folding Open access Oct 2026

Detection of macula flava cells proliferation after vocal fold injury.

Vocal fold injuries were repaired within seven days and results indicated that proliferate behavior differs between macula flava cells and fibroblasts during vocal fold injury repair.

Xu-Mao Li, Xiang-Yu Chen, Sen Yu et al. · 0 citations
#protein folding Open access Oct 2026

Conformation‐Selective Binding Domains of Intramolecular Chemically Induced Protein Dimerisation Systems

ABSTRACT Chemically induced protein dimerisation (CID) is a widely used approach for detecting and actuating small‐molecule‐protein interactions. Here, we demonstrate that CID systems can be used as building blocks for higher‐order ligand‐controlled protein systems. To this end, we converted classical FK506‐ and cyclos...

Zhenling Cui, Zhong Guo, Yi Jin Liew 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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