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protein folding

2,046 papers

#computer vision Open access Feb 2018

Lean Internal Startups for Software Product Innovation in Large Companies: Enablers and Inhibitors

This study investigates how Lean internal startup facilitates software product innovation in large companies and identifies its enablers and inhibitors, and shows the potential of the method-in-action framework to investigate the Lean startup approach in non-startup context.

Henry Edison, Nina M. Smørsgård, Xiaofeng Wang et al. · 78 citations · ⚡6

Context Before Code: An Experience Report on Vibe Coding in Practice

An experience report from a small full-stack team that applied contextual prompting and explicit architectural constraints to build a multi-project agent learning platform designed for sustained, production-oriented use and an academic retrieval-augmented generation system is presented.

Md Nasir Uddin Shuvo, M. Islam, Mahade Hasan et al. · 0 citations
#protein folding Preprint Aug 2026

Machine learned designs of functional colloidal foldamers

Using reinforcement learning, model DNA-coated droplet chains are folded into rigid two-dimensional geometries, uncovering two classes of pathways: downhill, in which bonds are only added, and detour, in which bonds are broken and remade before the target is reached: for some the only route that exists.

R. van Mastrigt, Z. Zeravcic · 0 citations
#protein folding Open access Aug 2026

E8‑Phi Harmonic Lattice for Cross‑Scale Bio‑Neural Encoding — E8 Intelligence Research

By projecting the 240 root vectors of the E8 lattice onto phi‑coupled eigenmodes anchored at the 132 Hz base frequency, a hierarchical harmonic lattice emerges that simultaneously aligns gamma‑band cortical oscillations, protein‑interaction resonance, and DNA‑folding eigenmodes. This lattice functions as a topologicall...

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

Protein Fold Platform - how it works

Protein Fold: How It Works The Ly‑Algebra Pipeline – From Sequence to Pentamer Welcome to the Protein Fold platform. This document walks you through the computational pipeline that takes a single amino acid sequence and produces a refined monomer and a 5‑fold symmetric pentameric assembly, all powered by the Ly‑Algebra...

Chloe Tully · 0 citations
#protein folding Open access Aug 2026

E8 Resonant Information Entanglement in Multi-Scale Biological Networks — E8 Intelligence Research

We discover that the 240 E8 root vectors serve as resonant eigenmodes not only for DNA folding but for information propagation across biological scales—from protein interaction networks to neural microcircuits—through phi-coupled 132Hz harmonic entrainment. This principle extends the E8 Chromatin model by showing that...

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

E8‑Resonant Quantum‑Protein Teleportation Network — E8 Intelligence Research

By extending the SYK holographic wormhole simulation, we map the 240 E8 root vectors onto a protein‑folding scaffold that acts as a quantum‑biological interface. A 132 Hz nanomechanical resonator array, phi‑scaled to the E8 lattice, drives distinct harmonic modes that imprint each root vector onto a specific protein co...

Andrew Stewart Caldin · 0 citations
#protein folding Aug 2026

Cytokine profiles in children with PCR-confirmed HHV-6 infection according to seizure occurrence.

BACKGROUND Although cytokines are contributors to febrile seizures, previous studies have largely involved pathogen-heterogeneous populations. Human herpesvirus 6 (HHV-6) is a common cause of febrile seizures and is useful for studying pathogen-specific inflammatory responses. METHODS This retrospective study include...

J. Yeom, Young-Soo Kim, Ji Sook Park et al. · 0 citations
#protein folding Open access Aug 2026

E8-Phi Lattice Reciprocity for Bio-Digital Neural Synchrony — E8 Intelligence Research

By mapping the 240 E8 root vectors onto the hierarchical folding of protein-folding landscapes, we establish a reciprocal feedback loop between quantum information and macro-biological states. The $\phi$-modulated phase alignment creates a bridge where neural firing patterns are treated as discrete intersections of the...

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

Doulita Token Compressor: Geometric Context Compression for LLMs - Research Preview. Duqueana Core

Doulita Token Compressor es un componente de investigación del ecosistema Duqueana Core diseñado para reducir el tamaño del contexto que se prepara antes de enviarlo a un modelo de lenguaje. La propuesta utiliza unidades de memoria atómica Doulita y una transformación geométrica orientada a conservar patrones estructur...

Douglas Helvesio Urbina Duque, Contreras Agelvis Elda Guadalupe, Bustamante Escalante Armancio · 0 citations
#protein folding Open access Aug 2026

E8 Resonant Information Entanglement in Multi-Scale Biological Networks — E8 Intelligence Research

We discover that the 240 E8 root vectors serve as resonant eigenmodes not only for DNA folding but for information propagation across biological scales—from protein interaction networks to neural microcircuits—through phi-coupled 132Hz harmonic entrainment. This principle extends the E8 Chromatin model by showing that...

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

Doulita Token Compressor: Geometric Context Compression for LLMs - Research Preview. Duqueana Core

Doulita Token Compressor es un componente de investigación del ecosistema Duqueana Core diseñado para reducir el tamaño del contexto que se prepara antes de enviarlo a un modelo de lenguaje. La propuesta utiliza unidades de memoria atómica Doulita y una transformación geométrica orientada a conservar patrones estructur...

Douglas Helvesio Urbina Duque, Contreras Agelvis Elda Guadalupe, Bustamante Escalante Armancio · 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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