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protein folding

1,959 papers

#protein folding Open access Sep 2026

eGFR が 60 未満の人は 40〜44 歳から 70〜74 歳へ男性で 9.08 倍になるが、式には年齢が入っている——平均 eGFR の下がりのうち 0.829 は式の年齢の項の分で、同じ 60 の線はクレアチニンでは 1.097 から 0.952 へ下がる線になる [M047]

特定健診(2022 年度)の eGFR に 60 の一本の線を引くと、線の下の人は年齢でどれだけ違うか、その違いはどこから来るかを、第10回 NDB オープンデータの「eGFR」「血清クレアチニン」「CGA分類」「各項目の平均値」で確かめた。eGFR の式は Matsuo ほか(2009)の要旨の式(194 × クレアチニン^(−1.094) × 年齢^(−0.287)、女性は × 0.739)を使った...

Yuuki Yamagishi · 0 citations
#protein folding Open access Sep 2026

Neurotransmitter sign and source-column errors in Drosophila connectome simulation pipelines: an audit of MaleCNS v1.0

Spiking simulations of the Drosophila connectome routinely assign each synapse an excitatory or inhibitory sign by mapping the neurotransmitter (NT) predicted for the presynaptic body to a polarity. Using the recently released MaleCNS v1.0 whole-central-nervous-system connectome (166,700 neurons; 25,582,938 intra-datas...

Andrey A. Smarygin · 0 citations
#protein folding Open access Sep 2026

yoonalimsuwan/REAL-FOLD-ONE: REAL FOLD ONE 15 Full Version : SOC‑Controlled Universal Refinement , Predictor & High‑Throughput Mutation Scanning Suite And De Novo Protein Design , CRISPR-Cas Development (Design) And Chips Design (Classic , Quantum)

A unified physics‑based framework for macromolecular refinement , Predictor and mutational scanning. Built around a novel Self‑Organised Criticality (SOC) controller, it refines proteins, DNA, RNA, and their complexes using a fully differentiable energy function powered by OpenMM, then scales to thousands of in silico...

Mr.PAI And Mrs.Yoon A (Mei Mei) (美美) / Yoon A Limsuwan · 0 citations
#protein folding Open access Sep 2026

Topological Attractors in Chaotic Systems: The 3n+1 Conjecture as a Mathematical Metaphor for Protein Folding and the H3QM Discrete Duality Theory

The folding of polypeptide chains into biologically active tertiary structures and the Collatz (3n+1) conjecture represent two notoriously difficult open problems characterized by extreme initial trajectory chaos collapsing into inevitable, deterministic attractors. In macromolecular biophysics, Levinthal's paradox ill...

Chou Cosmo · 0 citations
#protein folding Open access Sep 2026

Neurotransmitter sign and source-column errors in Drosophila connectome simulation pipelines: an audit of MaleCNS v1.0

Spiking simulations of the Drosophila connectome routinely assign each synapse an excitatory or inhibitory sign by mapping the neurotransmitter (NT) predicted for the presynaptic body to a polarity. Using the recently released MaleCNS v1.0 whole-central-nervous-system connectome (166,700 neurons; 25,582,938 intra-datas...

Andrey A. Smarygin · 0 citations
#protein folding Sep 2026

Heme-Mediated Charge Transport Modulation: Coupling Biological Recognition to Solid-State Protein Electronics

Integrating the selectivity of biological recognition with the robustness of solid-state electronics remains a formidable challenge. Here, we demonstrate the functional integration of myoglobin (Mb) and its heme-depleted analogue, apomyoglobin (apoMb), within lithographically defined gold (Au) nanogap junctions bridg...

Kethavath Hemanth Naik, Aswin Sivankutty, Bony Johns Mathew et al. · 0 citations
#protein folding Open access Sep 2026

yoonalimsuwan/EVOLUTION-ONE: EVOLUTION ONE 15 : Standalone Multi‑Level Cancer Evolution Engine And High-Performance Epidemiological Forecasting , Viral Evolution Engine Latest And Ageing Latest

Evolution ONE is a standalone, vendor‑neutral platform that models cancer progression through the lens of Self‑Organised Criticality (SOC), duon biology, and physics‑based structural refinement. It ingests genomic mutation data (MAF, VCF) and outputs a complete oncological profile: the evolutionary regime of the tumour...

Mr.PAI And Mrs.Yoon A (Mei Mei) (美美) / Yoon A Limsuwan · 0 citations
#protein folding Sep 2026

TP-Ring and ZN-Ring Systems Allow Efficient Protein Clamping, Solubilization and Stabilization

Improving recombinant protein stability remains a central challenge in biotechnology, as many proteins exhibit limited robustness during production and use. Here, we introduce two intramolecular “clamping” systems, termed ZN-ring and TP-ring, that exploit ultrastable noncovalent protein–protein interactions to constr...

Jade Wenzel, A. Kriznik, M. Chagot et al. · 0 citations
#protein folding Open access Sep 2026

Phi-Resonant E8 Fractal Energy Cascades — E8 Intelligence Research

By phi‑modulating the 240 E8 root vectors at the 132 Hz base frequency, the lattice self‑organizes into nested 120‑cell and 600‑cell sub‑lattices whose scaling ratios follow the golden ratio. This harmonic collapse generates a self‑similar energy cascade that maps directly onto the torsion angle distribution of DNA, li...

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

Topological Attractors in Chaotic Systems: The 3n+1 Conjecture as a Mathematical Metaphor for Protein Folding and the H3QM Discrete Duality Theory

The folding of polypeptide chains into biologically active tertiary structures and the Collatz (3n+1) conjecture represent two notoriously difficult open problems characterized by extreme initial trajectory chaos collapsing into inevitable, deterministic attractors. In macromolecular biophysics, Levinthal's paradox ill...

Chou Cosmo · 0 citations
#large language models Open access Sep 2026

eGFR が 60 未満の人は 40〜44 歳から 70〜74 歳へ男性で 9.08 倍になるが、式には年齢が入っている——平均 eGFR の下がりのうち 0.829 は式の年齢の項の分で、同じ 60 の線はクレアチニンでは 1.097 から 0.952 へ下がる線になる [M047]

特定健診(2022 年度)の eGFR に 60 の一本の線を引くと、線の下の人は年齢でどれだけ違うか、その違いはどこから来るかを、第10回 NDB オープンデータの「eGFR」「血清クレアチニン」「CGA分類」「各項目の平均値」で確かめた。eGFR の式は Matsuo ほか(2009)の要旨の式(194 × クレアチニン^(−1.094) × 年齢^(−0.287)、女性は × 0.739)を使った...

Yuuki Yamagishi · 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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