Findings are consistent with impaired proteostasis following acute HSP70 depletion and demonstrate the potential utility of an inhibitor-independent workflow for evaluating cellular responses associated with targeted chaperone depletion.
Hatice Esenkaya· Frontiers in Genetics· 0 citations
Abstract: Predicting the three-dimensional structure of a protein directly from its amino-acid sequence has remained one of the most persistent open problems in computational biology, commonly referred to as the protein folding problem. For decades, structural information was obtainable only through slow, expensive, an...
Mridhula Muthukumar· Zenodo (CERN European Organi...· 0 citations
ABSTRACT Spinal cord injury (SCI) is a devastating disorder of the central nervous system (CNS) leading to irreversible neurological deficits. Effective pharmacotherapy remains elusive, due to the restrictive blood‐spinal cord barrier (BSCB), underscoring the urgent need for targeted and efficient drug delivery strateg...
Yi-Xuan Wang, Bo Jin, Shi-Pian Li et al.· Advancement of science· 0 citations
I propose that freedom is the true cause of reality because freedom means path availability, and there is no possibility of pathlessness. Everything that exists navigates: water down a slope, photons through a slit, ions across a membrane, a child across a room, a household across a budget. Intelligence is the capacity...
Gonçalo Melo de Magalhães· Zenodo (CERN European Organi...· 0 citations
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⚡ CELLULAR MAINTENANCE, METABOLISM & MITOCHONDRIA AT THE LIMIT The Cellular Maintenance Engine of Aging, Energy Resilience, Proteostasis, Autophagy, Nutrient Sensing, and Mitochondrial Quality Can aging be partially understood as maintenance failure? This flagship research volume explores aging through one of its most...
First public release. Deterministic φ-lattice protein folding engine for the Nexus Resonance Codex (NRC), built on the Trageser Tensor Theorem (TTT) and 2048D φ-spiral manifolds. Experimental research code; APIs may evolve — pin the version.
James Trageser (jtrag)· Zenodo (CERN European Organi...· 0 citations
First public release. Deterministic pure math protein folding engine built on the Nexus Resonance Codex (NRC) framework. Experimental research code; APIs may evolve — pin the version.
James Trageser (jtrag)· Zenodo (CERN European Organi...· 0 citations
This is a Perspective article. Two recent Cell studies (Dobbs et al., 2026; Jensen et al., 2026) used in-cell cryo-electron tomography and visual proteomics in Mycoplasma pneumoniae to resolve structural coordination among transcription, translation, membrane translocation, and extracellular folding.We offer a theoreti...
Kai Huang· Zenodo (CERN European Organi...· 0 citations
⚡ CELLULAR MAINTENANCE, METABOLISM & MITOCHONDRIA AT THE LIMIT The Cellular Maintenance Engine of Aging, Energy Resilience, Proteostasis, Autophagy, Nutrient Sensing, and Mitochondrial Quality Can aging be partially understood as maintenance failure? This flagship research volume explores aging through one of its most...
First public release. Deterministic pure math protein folding engine built on the Nexus Resonance Codex (NRC) framework. Experimental research code; APIs may evolve — pin the version.
James Trageser (jtrag)· Zenodo (CERN European Organi...· 0 citations
This study aimed to construct a hypothesis-generating evidence framework linking PFOA-related molecular target annotations to biological alterations in adrenocortical carcinoma (ACC), with emphasis on HSD11B1 as a downregulated adrenal metabolic homeostasis node and an in silico prioritized candidate PFOA-related prote...
Xinzhe Liu, Yanghao Tai, Haoze Liu et al.· Discover Oncology· 0 citations
Bispecific T cell engagers (BiTEs) are engineered immunotherapeutic molecules designed to direct the body's immune system against malignant cells by physically connecting T cells to target cells, triggering cytotoxic responses. BiTEs have typically engaged T cells via αCD3 domains, such as OKT3 or UCHT1, which are link...
Basudeb Mondal, Yusef A. Haikal, Gabriel A. Kwong et al.· ACS Chemical Biology· 0 citations
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.