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protein folding

1,912 papers

#protein folding Review Open access Oct 2026

Adaptation to heat stress by diversification of the vertebrate heat shock transcription factor family

Abstract Cells survive and reproduce by coping with acute or chronic exposure to a fixed elevated temperature or fluctuating temperatures. These properties are one of the main evolutionary forces and involve the heat shock response. This response is characterized by the induction of heat-shock proteins (HSPs) and is ma...

Ryosuke Takii, Mitsuaki Fujimoto, A. Nakai · 0 citations
#protein folding Open access Oct 2026

Caenorhabditis elegans small heat-shock protein HSP-12.6 has a highly specialized protective function towards muscle thick filaments in vivo

In vivo function of Caenorhabditis elegans HSP-12.6 is examined, finding that HSP-12.6 exhibits exceptional selectivity in protecting the muscle function against folding or assembly mutations in thick filament proteins, but not in thin filament or non-filament proteins.

Abigail Fern, J. Alexander-Floyd, Anhelina Volchok et al. · 0 citations
#machine learning Preprint Oct 2026

Sample complexity bounds for categorical Markov random fields via Discrete Diffusions

Many applications in statistics, economics, and physics require sampling from high-dimensional categorical distributions with local dependence structures. Examples include finite memory language models, Ising and Potts systems in statistical physics and protein folding, etc. In modern machine learning, discrete diffusi...

Shivam Kumar, Nabarun Deb · 0 citations
#machine learning Preprint Oct 2026

Cost-augmented Schr\"odinger bridges on graphs are exactly solvable: a Feynman-Kac tilt replaces learned control

The generalized Schr\"odinger bridge on a graph moves mass between two distributions while charging a cost for the states visited. It has been approached by learning the rates of a controlled continuous-time Markov chain, with a temporal-difference penalty that restores the cost. A state cost folds into the reference p...

Akshay Balsubramani · 0 citations
#machine learning Preprint Oct 2026

Generative modeling of intrinsically disordered protein regions by reinforcing sparse autoencoder features

Intrinsically disordered protein regions (IDRs) play central roles in cellular processes such as transcriptional regulation, signal transduction, and subcellular localization, yet their functional design remains challenging. Structure-based design methods do not readily apply to IDRs, and existing protein language mode...

J. Liu, Sebastian Ibarraran, Frank Hu et al. · 0 citations
#machine learning Preprint Oct 2026

Auditable Algebraic Counting Field for Cryptic-Pocket Detection from Apo Structures

Cryptic ligand-binding pockets are not apparent in experimentally determined apo structures, making them difficult to identify from unbound receptor geometry. A complementary challenge is to make the structural measurements and learned evidence behind each prediction directly inspectable. We introduce a supervised alge...

Shan Yu, Xue-Ning Wu · 0 citations
#artificial intelligence Preprint Oct 2026

CODesign: Consistency from Data to Trajectory in All-Atom Protein Binder Co-Design

The central challenge in de novo protein design is generating plausible, mutually compatible structures and sequences, such that each designed sequence folds into its intended structure and the structure accommodates that sequence. Compared to typical two-stage design methods, which decouple the modeling of the interde...

Yuan-Le Mo, Bo Qiang, Hai-Tao Lin et al. · 0 citations
#protein folding Oct 2026

Optimalisatie van de block-and-lock strategie voor een HIV genezing: Het combineren van BRD4 modulatoren met LEDGINs

Infection with human immunodeficiency virus (HIV) is currently incurable because the virus integrates into the host genome of long-lived memory CD4+ T cells and can persist in a transcriptionally silent state, known as latency. Antiretroviral therapy (ART) effectively suppresses viral replication, restores CD4+ T cell...

Eline Pellaers · 0 citations
#protein folding Open access Sep 2026

Serum MGP and ECP are commonly elevated in first-onset and recurrent ischemic stroke: a two-phase DIA proteomic study in a Chinese cold-region cohort

This biomarker panel covers three core pathological processes-atherosclerosis and vascular calcification, chronic inflammation, and hypercoagulable state-providing candidate biomarkers that warrant further investigation for disease-state characterization and risk stratification, particularly in high-latitude cold-regio...

Ning-Ning Wang, Zheng-Guang Guo, Ming Jin et al. · 0 citations
#protein folding Sep 2026

247. Effects of Probiotic Supplementation in DDGS Feeds on the Hepatic Transcriptome of Berkshire Pigs Finished in Hoop Barns.

In this study, we evaluated the effects of a probiotic supplement in distiller’s dried grains with solubles (DDGS) feeds on the hepatic transcriptome of Berkshire finisher pigs. At high levels, DDGS has been shown to reduce nutrient utilization, cause inflammation, and result increased adipose tissue which reduces ca...

D. Coble, Brianna J. Carter, Ayanna J. Harrison et al. · 0 citations
#protein folding Review Open access Sep 2026

Lab to codes: multimodel advanced AI-driven pipelines to drive antimicrobial peptide design for the post-antibiotic era

The rapid emergence of global antimicrobial resistance (AMR) has outpaced the development of new antimicrobial agents, necessitating transformative approaches such as AI-driven in-silico drug discovery. Antimicrobial peptides (AMPs) are promising alternatives due to their broad-spectrum bactericidal activity and li...

Naveed Saleem, E. El-Omar, Naresh Kumar et al. · 0 citations
#protein folding Open access Sep 2026

Age-Associated Plasma Protein Signatures and Proteomic Age Estimation by Data-Independent Acquisition Mass Spectrometry in a Russian Cross-Sectional Cohort

Chronological age can be estimated from molecular profiles; however, predictive accuracy alone does not establish a biologically validated ageing clock. We therefore evaluated whether plasma protein intensities measured by data-independent acquisition mass spectrometry (DIA-MS) support chronological-age estimation in a...

M. Arbatskiy, D. Balandin, S. Novikova 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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