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protein folding

2,040 papers

#protein folding Review Open access Sep 2026

Harnessing Medicinal Plants Through Advanced Drug Delivery: A New Era in Type 2 Diabetes Management

Type 2 diabetes mellitus (T2DM) remains a global health crisis, with nearly 589 million adults currently affected and projections pointing toward 853 million by 2050. Despite an expanding pharmacological armamentarium, a significant proportion of patients fail to achieve adequate glycaemic control, and the limitations...

A. Dadhich, Vikas Sharma, Shivika Sharma et al. · 0 citations
#protein folding Open access Sep 2026

Figure 6 from Targeting PRMT5 Inhibitor–Induced Adaptation in Pancreatic Cancer with the RBM39 Degrader Indisulam

PRMT5 and RBM39 inhibition regulate DNA repair and metabolic pathways. A, Workflow of the RNA-seq approach: PSN1 cells were treated with DMSO as the vehicle control, 4 nmol/L JNJ-64619178, 200 nmol/L indisulam, or the combination of 4 nmol/L JNJ-64619178 and 200 nmol/L indisulam for 48 hours, mRNA was isolated, and mRN...

Valentina Spielmann, Jonas Buchloh, Selen Selcen et al. · 0 citations
#protein folding Open access Sep 2026

The radical that was never seen: one added hydrogen bond opens up the photoactivation mechanism of a blue-light receptor

A collaboration between researchers in the United States, the United Kingdom and Hungary has mutated the amino acid sequence of the AppA BLUF domain, a blue-light photoreceptor, and succeeded in capturing the proton-coupled electron transfer (PCET) radical intermediates that had never been observed in this protein. By...

inquantio · 0 citations
#protein folding Open access Sep 2026

Comparative study of hybrid quantum-classical models for cold-start drug–target affinity prediction: a partial pilot analysis

Cold-start drug–target affinity (DTA) prediction requires evaluation on genuinely unseen chemical and protein entities. We considered QVGAT-DPI (Quantum Variational Graph Attention Network for Drug–Protein Interaction) as a residual hybrid model combining full molecular graphs, permutation-invariant Breaking of Retro-s...

Arman Salehi, Ghazal Salehi, Ashkan Heydarian et al. · 0 citations
#protein folding Open access Sep 2026

Figure 4 from TNG961 Is a Selective Oral HBS1L Molecular Glue Degrader for the Treatment of FOCAD-Deleted Cancers

TNG961 induces potent, selective CRBN-dependent degradation of HBS1L. A, Endogenous HBS1L degradation and PELO destabilization measured by Western blot after 24 hours of treatment with TNG961 in the indicated cell lines. The top dose was 10 µmol/L, tested as a 9-point, 3-fold dilution series. Representative images are...

Hilary E. Nicholson, Douglas A. Whittington, Frank J. Bruzzese et al. · 0 citations
#protein folding Open access Sep 2026

Fractal Compact Manifold Theory Core Mechanics: Multifractal Unification of Quantum Mechanics, Gravity, and Consciousness

Abstract This sub-paper, "Fractal Compact Manifold Theory Core Mechanics" serves as a concise, standalone distillation of FCMT's foundational elements, emphasizing the atemporal symmetry breaking, field emergence, Lagrangian formulation, projection operator, and foliation map. By focusing solely on these core mechanics...

Zachary Hosack · 0 citations
#protein folding Open access Sep 2026

Resolving Heterogeneous Mechanical Domains via Physics-Aware Deep Clustering of Single-Molecule Force Spectroscopy Data

Many biological processes rely on mechanical forces, with protein molecules acting as key mediators. Understanding how proteins respond to mechanical stress is essential for conditions including cardiomyopathy and muscular dystrophy. Natural proteins such as dystrophin and utrophin are composed of heterogeneous folding...

Cailong Hua, Yiyuan Zhang, Vinitendra Singh et al. · 0 citations
#protein folding Open access Sep 2026

Alterations of the Saccharomyces cerevisiae proteome by protein production are dependent on strain origins

Abstract Saccharomyces cerevisiae yeast is a widely used recombinant protein production host. Recombinant protein expression requires adaptation of the host cell proteome to accommodate the increased biosynthetic and folding demands. However, this underlying proteomic changes remain poorly understood. In this study, we...

Ryan Wong, Sahil Chandhok, Elizabeth Hui et al. · 0 citations
#protein folding Open access Sep 2026

Explainable attention-based multi-omics fusion with protein language models for CML-versus-control classification and biomarker discovery

Chronic Myeloid Leukemia (CML) is a well-defined hematological malignancy driven principally by the BCR::ABL1 fusion oncogene and aberrant tyrosine kinase signaling. Computational methods to predict leukemia suffer from the limitation of using single-modality data or black-box models, which cannot adequately incorporat...

Atiq Ur Rehman, Ali Sayyed, Muhammad Ismail Mohmand et al. · 0 citations
#protein folding Open access Sep 2026

Disentangling folding stability and function in deep mutational scanning fitness

This repository accompanies a computational analysis decomposing protein variant fitness into folding-stability and function components across 151 deep mutational scanning (DMS) assays from ProteinGym. For each assay, the agreement of every predictor with measured fitness was quantified, structure- and sequence-based s...

Satyam Satyam, Sanjukta Patra, Shrinidhi Narayan Bhat · 0 citations
#protein folding Open access Sep 2026

Exposure of cells to prions induces prion strain dependent changes in mitochondrial redox state and respiration.

During initial prion infection, PrPSc drives mitochondrial dysfunction in a manner that is both strain dependent and independent of PrPC expression, while persistent prion infection increases mitochondrial sensitivity to cellular stress.

Daniel Shoup, L. Varner, B. Race 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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