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protein folding

2,039 papers

#protein folding Sep 2026

Systems-level proteomic reprogramming reveals mitochondrial restoration and inhibition of Rho GTPase-mediated cytoskeletal and inflammatory signaling in CKD

It is demonstrated that DVA exerts a dual therapeutic effect by restoring essential mitochondrial and metabolic pathways while simultaneously suppressing inflammation, oxidative stress, and cytoskeletal dysregulation in CKD.

Reshma Shettigar, Shobha Dagamajalu, Hemashree Kampa et al. · 0 citations
#protein folding Open access Sep 2026

拓扑几何的自适应量子计算框架

This paper introduces a novel framework for quantum computing that integrates adaptive quantum state generation algorithms with the self-adaptive geometry of topology. The core idea is to combine the precision of quantum computation with the inherent flexibility of topological structures. We propose a method for dynami...

Jincheng Zhang · 0 citations
#protein folding Open access Sep 2026

Title: Adaptive Symmetry in Fractal Networks

This paper introduces an innovative framework for analyzing and optimizing fractal networks, leveraging the concept of 'Symmetry Metric' to guide network design. We propose a novel method for quantifying network structure using a mathematical definition of self-similarity and employing this metric to optimize network p...

Jincheng Zhang · 0 citations
#protein folding Open access Sep 2026

Effect of grape seed extract (Vitis vinifera L.) on downregulation of heat shock protein 90 alpha class A1 to attenuate psoriasis- a molecular docking simulation, in vitro and in vivo evaluation

Psoriasis is a chronic inflammatory skin disorder marked by skin hyperproliferation and rapid inflammation. Effective therapies should be immunomodulatory, anti-inflammatory and antioxidant in nature. This study evaluates the therapeutic potential of grape seed extract (GSE)  (Vitis vinifera L.) in managing psoriasis b...

T Vandanaraj, T Santhrani · 0 citations
#protein folding Open access Sep 2026

Quantum-Driven Constraint on Complex Systems

Quantum-driven constraint on complex systems aims to accelerate solution processes by dynamically adjusting constraint parameters. This paper explores the potential of quantum annealing and variational quantum eigensolver (VQE) to optimize these parameters. The core claim is to implement an algorithm that dynamically a...

Jincheng Zhang · 0 citations
#protein folding Open access Sep 2026

Serial neoGFAP outperforms total GFAP for monitoring and 6-month outcome discrimination after moderate to severe traumatic brain injury: an exploratory single-site cohort study

In this retrospective analysis, neoGFAP provided clearer incremental value than total GFAP for recovery-oriented monitoring, especially when late-window reassessment of patients who remained at risk for less-than-good recovery was required.

K.-K.-W. Wang, G. Cai, K. Boukholda et al. · 0 citations
#protein folding Open access Sep 2026

A Chemigenetic Ca2+ Indicator Based on a Red Fluorescent Protein and a Synthetic Chelator.

Fluorescent indicators are indispensable imaging tools for visualizing the spatiotemporal dynamics of biological processes. Red fluorescent indicators are in particularly high demand because they offer compatibility with existing green fluorescent indicators or optogenetic tools, and longer wavelength fluorescence has...

Shosei Imai, Wen-Chao Zhu, Robert E. Campbell et al. · 0 citations
#protein folding Open access Sep 2026

基于自适应的优化算法的生物分子建模

This paper introduces a novel self-adaptive optimization algorithm designed for modeling biological molecules. Biological systems exhibit intricate and dynamic behaviors, making traditional optimization methods often inadequate. This algorithm addresses this limitation by incorporating a self-adjustment mechanism that...

Jincheng Zhang · 0 citations
#protein folding Open access Sep 2026

Mechanistic Insights into Vernonia calvoana-Induced Apoptosis in Ovarian Cancer Cells via the Intrinsic Pathway

Vernonia calvoana (VC), a commonly used medicinal plant in West Africa, has been shown by our research team to inhibit the proliferation of OVCAR-3 ovarian cancer cells through mechanisms involving oxidative stress, DNA damage, and S-phase cell cycle arrest. The objective of the current study was to elucidate the intri...

Ariane M. Chitoh, Clément G. Yedjou, Ingrid K. Tchakoua et al. · 0 citations
#protein folding Open access Sep 2026

Proteoform-resolved neoGFAP as a diagnostic and prognostic biomarker across the TBI--MCI--AD continuum in Veterans

Service members with traumatic brain injury are at approximately two- to four-fold higher risk of Alzheimer's disease or related dementias than those without such an injury, with risk increasing with injury severity. The amyloid/tau/neurodegeneration biomarker framework treats amyloid, tau, and neurodegeneration as ind...

W. E. Haskins, K.-K. Wang, G. Cai et al. · 0 citations
#protein folding Dataset Open access Sep 2026

Topological Confinement Matrices and Asymptotically Rigid Hilbert Space Structures in Quantum Chemistry and Protein Folding (v1.0)

This preprint introduces the molecular and biochemical extension of The Bell TowerArchitecture. By taking the asymptotic limit (ε → 0) of the discrete lattice Z^3, we define acontinuous rigid field Φ(z) governed by Weierstrass infinite products and Mittag-Leffler expansions. This geometric framework replaces traditiona...

Silvio Gabbianelli · 0 citations
#protein folding Sep 2026

Clean Heating Renovation Differentially Reduces Nitro-PAH and Nitrated Phenol Exposure: Implications from Real-World Personal Monitoring and NF-κB-Based Toxicological Assessment

Nitrogen-containing organic compounds (NOCs) are key characteristic components in particulate matter (PM) from household solid fuel combustion, yet their personal exposure and class-dependent toxicity remain poorly characterized. We compared size-resolved personal exposure to particulate nitrated phenols (NPs) and ni...

Rong Feng, Hong-Mei Xu, Zhen-Xing Shen 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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