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protein folding

1,912 papers

#protein folding Sep 2026

Study on the Polysaccharide Structure and Antitumor Mechanism of Russula adusta

A previously undescribed polysaccharide was isolated from the edible mushroom Russula adusta. Structural analysis showed that Russula adusta polysaccharide (RA‑P) has a molecular mass of 20,576 Da and main chain consists of (1→4,6)-Glcp, (1→4)-D-Glcp, (1→4)-D-Galp and (1→6)-Galp remnants, with side chain →1)-Galp and a...

Shu-Rong He, Xin-Lin Li, Jie Tang et al. · 0 citations
#protein folding Sep 2026

221. Metabolic and Short-term Health Impacts of a 2% Dietary Betaine Intake in Lean, Healthy Adult Cats.

Plasma betaine and its downstream metabolites, N,N-dimethylglycine, sarcosine and serine, and its downstream metabolites, N,N-dimethylglycine, sarcosine and serine, were greater in BET than in CTRL, suggesting a potential sparing effect.

Amelia M. Huebsch, J. Pezzali · 0 citations
#protein folding Open access Sep 2026

PS1-5. Linking Microbial Profiles in Milk Somatic Cells to Feed Efficiency in Dairy Cattle.

Feed efficiency (FE) is a complex trait with major implications for the sustainability and profitability of dairy production; however, the potential association of the milk-associated microbiota with this phenotype remains largely unexplored. Additionally, milk somatic cells (MSC) provide a minimally invasive and eas...

Á. Cánovas, Guilherme Henrique Gebim Polizel, Le-Luo Guan et al. · 0 citations
#protein folding Open access Sep 2026

Understanding the strengths and limitations of recombinant protein studies

Recombinant proteins are the workhorse of modern biochemical research, yet their use in vitro is routinely questioned on grounds of physiological relevance. Here we provide a structured guide to the strengths and limitations of recombinant protein studies, framed within the broader contrast between systemic (top-do...

D. Dell'Orco, Karl-W Koch · 0 citations
#protein folding Open access Sep 2026

Integrative Transcriptomics and Machine Learning Nominate IL15- and PPP2R1A-Centered Programs in PTSD Using Pathway-Informed Autonomic–Cardiac Gene Prioritization

Post-traumatic stress disorder (PTSD) is associated with immune and autonomic disturbances, but molecular programs linking PTSD-related blood transcriptional signals with autonomic–cardiac biology remain incompletely characterized. The public Gene Expression Omnibus (GEO) cohorts analyzed here did not directly measure...

Yi-Han Guo, Dong-Dong Shi, Lan-Ying Liu et al. · 0 citations
#protein folding Open access Sep 2026

Assessment of serological markers (interleukin-37, interleukin-40, antinuclear antibody and PA-Ab) and protein tyrosine phosphatase nonreceptor type 22 genetic profiles in children with immune thrombocytopenia: A case–control study

In cases of subjects with ITP, there was a marked reduction in the counts and indices of platelets and expression of the PTPN22 gene, and other indicators, including ANA, IL-37, IL-40, PA-Ab, rs2488457, and rs1395448650 were not significantly linked to ITP.

Sarah Nabeel Lamam, S. R. Ibraheem · 0 citations
#protein folding Open access Sep 2026

Evaluation of Self-Supervised Pre-training for Disease Classification from Gut Metagenomes

Self-supervised pre-training has become the dominant paradigm in single-cell and protein modelling, yet its value for microbiome-based disease classification remains untested under evaluation protocols that control for study-level confounding. Public metagenomic collections aggregate hundreds of independently conducted...

Khaled Sayed · 0 citations
#protein folding Sep 2026

Engineered Tumor-Homing Escherichia coli for Localized Hyaluronic Acid Degradation and Stromal Remodeling in Pancreatic Cancer.

Pancreatic ductal adenocarcinoma (PDAC) accumulates vast amounts of hyaluronic acid (HA), generating a rigid, high-pressure stroma that blocks drug delivery and infiltration. Although hyaluronidase (HAase) can dismantle this barrier, systemic administration of HAase depletes HA from healthy tissues and causes dose-limi...

Shuai Gao, Ting-Ting Liu, Chang-Hao Tian et al. · 0 citations
#protein folding Open access Sep 2026

Repurposing drugs for multi-target treatment of cytokine storm using machine learning

Background: Cytokine Release Syndrome (CRS) is a major driver of acute organ failure in critical care settings, affecting approximately 49 million people and killing approximately 11 million people annually. Targeting multiple dysregulated feedback loops via single-molecule polypharmacology offers a promising strategy...

Leo Meng, Valentina L. Kouznetsova, Santosh Kesari et al. · 0 citations
#protein folding Open access Sep 2026

Hydrophobic Interaction as the Resolution of Interfacial Frustration

The hydrophobic effect is one of the central organizing principles of molecular biology, underpinning protein folding, molecular recognition, membrane self-assembly and many forms of biomolecular recognition. Contemporary statistical-mechanical frameworks explain much of its thermodynamics, including the dependence of...

Prithwish Mukherjee · 0 citations
#protein folding Dataset Open access Sep 2026

Refined Coordinate Structures and Pocket Analyses for Neurodegenerative Disease Targets

Dataset Title: Refined Coordinate Structures and Pocket Analyses for Neurodegenerative Disease Targets (v3.0) Overview: Fully quality-controlled 3D structural models, geometric pocket analyses, DiffDock docking enrichment, and NIH NCBI cross-validated target records for 6 therapeutic targets in this disease area: APOE4...

James Paul Trageser · 0 citations
#protein folding Open access Sep 2026

Developing machine learning models to predict chemical-breast cancer resistance protein (BCRP) interaction

The breast cancer resistance protein (BCRP; ABCG2 ) is an efflux transporter that affects drug pharmacokinetics, contributes to multidrug resistance, and can cause drug-drug interactions (DDIs). Predicting whether a compound interacts with BCRP can aid in the development of adjuvant anti-cancer drugs and help ant...

Souvik Dey, P. Lu, Anders Wallqvist 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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