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protein folding

1,973 papers

#protein folding Sep 2026

Abstract B016: Novel mutations in nicotinamide phosphoribosyltransferase (NAMPT) arising from OT-82 exposure drive resistance in rhabdomyosarcoma (RMS) models

Abstract Rhabdomyosarcoma (RMS) is the most common pediatric soft tissue sarcoma, and new treatments are urgently needed. Our prior work showed RMS has enhanced sensitivity to pharmacological inhibitors of NAMPT, the rate-limiting enzyme of the NAD+ salvage pathway and the only clinically targetable enzyme of NAD+ synt...

Ariana E. Nelson, Abantika Chakraborty, David R. Bell et al. · 0 citations
#protein folding Dataset Open access Sep 2026

Structure-first census of JAMM catalytic-site modification across the MPN fold: pipeline, measurement tables and raw structural searches

Pipeline and data for a structure-first census of the JAMM zinc isopeptidase site across 3,884 verified MPN-fold proteins. Catalytic-site positions are read by three-dimensional superposition onto a reference MPN+ domain (PDB 1R5X chain A) rather than by sequence alignment; fold membership is verified by secondary-stru...

Marc Zimmer · 0 citations
#protein folding Open access Sep 2026

Quantum Cybernesis: Seed IQ-Enabled Higher-Order Intelligence - An Intelligence That Recognizes the Limits of Its Own Representation, Reforms It, Computes Beyond Classical Reach with Quantum, and Continues Discovering From the Result Recursively - Surpassing AlphaFold, AlphaEvolve, and Dream-RSI Across Molecular Biology and Mathematics

Abstract: Classical AI answers from inside a representation fixed before the question arrives. What that representation can express, the system can answer; what lies outside it, no amount of parameters, data, search, or compute reaches. AlphaFold predicts through a learned representation; AlphaEvolve searches a space o...

Denise Holt, Denis Ovseyenko · 0 citations
#protein folding Dataset Open access Sep 2026

BOLTRA functional pilot dataset: seven-mode biomolecular design and post-design analysis

This dataset contains the complete computational records from seven 20-design pilot runs performed during the development and validation of BOLTRA v1.0.0 (BoltzGen Orchestration Layer for Targeted design and Results Analysis). BOLTRA is a guided and resumable workflow layer for BoltzGen that supports design-specificati...

Olanrewaju Ayodeji Durojaye, Soukayna Baammi, Mohamed Moussaoui et al. · 0 citations
#protein folding Sep 2026

Abstract A006: Identification of a novel, safety-engineered ADC directed against FGFR4 for the treatment of Rhabdomyosarcoma

Rhabdomyosarcoma (RMS) is the most common soft tissue sarcoma in children and young adults. While low risk disease has a 90% survival probability, metastatic RMS has a dismal prognosis. Treatment options include chemotherapy and local therapy (surgery, radiotherapy) but suffer from serious long-term side effects. The...

C. Steinkühler, Mirko Brunetti, Cristina Maria Depalma et al. · 0 citations
#protein folding Open access Sep 2026

Generative AI designs functional thiolation domains for reprogramming non-ribosomal peptide synthetases

Abstract Large language models and generative protein design promise to accelerate biotechnology, but it remains unclear whether they can engineer dynamic megasynth(et)ases whose activity depends on transient, context-specific domain interfaces. Non-ribosomal peptide synthetases (NRPSs) exemplify this challenge and pro...

Emre F. Bülbül, Seounggun Bang, Kevin George et al. · 0 citations
#protein folding Sep 2026

Abstract B027: Programmable Raptamers enable a repeatable translational framework for pediatric cancer therapeutics

Despite being the leading disease-related cause of death in children, pediatric cancers comprise less than 1% of cancers, making drug development commercially unattractive. Multi-omics profiling has identified over 150 molecular targets, but drug development still lags substantially. Cell-surface receptors are es...

Uksha Saini, Sougata Dey, Stephanie Vega et al. · 0 citations
#protein folding Open access Sep 2026

PepBench v1.0.0: Peptide Binder Backbone Templates

Initial public release of PepBench, a benchmark of de novo peptide-binder backbone templates for inverse-folding evaluation. Contents 353 two-chain peptide–receptor PDB complexes 12 protein targets Peptide backbone lengths of 8, 16, and 24 residues Chain A: backbone-only poly-glycine designed peptide Chain B: fixed rec...

ProteinQure (Canada), David Earl Hostallero, Glenn Butterfoss et al. · 0 citations
#protein folding Open access Sep 2026

Mass-spectrometry Based Structural Proteomics in Characterizing Protein Higher Order Structure-Development and Applications in Neurodegeneration, Cancer, and Infectious Disease

Proteins carry out most biological functions, and their activities are governed by their higher-order structure (HOS), which arises from folding, assembly, and dynamic conformational rearrangements. These structures are not static but exist as ensembles of interconverting states that respond to environmental changes an...

Xinyi Kuang · 0 citations
#protein folding Open access Sep 2026

Epitope placement tunes CSF tau biomarkers: Comparison of P-tau217 and BD-tau designs

Results show that, irrespective of the partner antibody, phosphorylated tau assays are more accurate than assays that also measure non-phosphorylated forms of the protein in differentiating Aβ + from Aβ − individuals, and indicate that BD-pTau217 may offer superior sensitivity for the early identification of AD patholo...

H. Gleerup, C. S. Musaeus, Cristiano Santos et al. · 0 citations
#protein folding Open access Sep 2026

GO-Term Enrichment of Proteome-Scale Docking Profiles as a Biological Search-Space Reduction Layer for Protein Target Discovery

Identifying protein targets from phenotype-first or mechanism-uncertain compounds remains difficult because proteome-scale docking can generate thousands of structurally plausible interactions per compound. We developed a workflow that converts ranked proteome-scale docking profiles into stable Gene Ontology (GO) Biolo...

Chase M Harms, Judith Klein‐Seetharaman · 0 citations
#protein folding Open access Sep 2026

Prediction of Suspected Choledocholithiasis: A Comparison of Diagnostic Performance of ML Algorithms Against Current Guidelines

Introduction Choledocholithiasis or common bile duct stones (CBDS) is a frequent cause of hospitalization. Confirmed stones are usually removed by Endoscopic Retrograde Cholangiopancreatography (ERCP), but this procedure carries significant risks (infection, perforation, hemorrhage). Current guidelines from the Europea...

Daniela Pacella, Fabrizio D’Acapito, Adriano De Simone · 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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