This paper explores the application of non-standard harmonic analysis to the analysis of complex systems, specifically focusing on fluid dynamics and protein folding. Traditional methods often fall short in effectively modeling these systems due to their inherent complexity and the difficulty in capturing emergent prop...
Jincheng Zhang· Zenodo (CERN European Organi...· 0 citations
Protein folding, the process by which a polypeptide chain attains its functional three-dimensional structure, is a fundamental problem in biochemistry and bioinformatics. Traditional approaches to predicting protein folding pathways have faced significant challenges due to the complex, high-dimensional nature of the un...
Jincheng Zhang· Zenodo (CERN European Organi...· 0 citations
Evolution ONE is a standalone, vendor‑neutral platform that models cancer progression through the lens of Self‑Organised Criticality (SOC), duon biology, and physics‑based structural refinement. It ingests genomic mutation data (MAF, VCF) and outputs a complete oncological profile: the evolutionary regime of the tumour...
Yoon A Limsuwan· Zenodo (CERN European Organi...· 0 citations
A unified physics‑based framework for macromolecular refinement , Predictor and mutational scanning. Built around a novel Self‑Organised Criticality (SOC) controller, it refines proteins, DNA, RNA, and their complexes using a fully differentiable energy function powered by OpenMM, then scales to thousands of in silico...
Yoon A Limsuwan· Zenodo (CERN European Organi...· 0 citations
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A phosphorylation-triggered order-to-disorder transition that relieves FOXM1 autoinhibition and highlight Ser715 as a key structural and energetic switch is supported and provided a dynamic molecular framework for targeting FOXM1 activation via its regulatory fold.
Sara AlRawashdeh, Raghd Obidat, Aylin del Moral-Morales et al.· Journal of Chemical Informat...· 1 citation
The catalytic mechanism of GHKL ATPases is refined and variants of uncertain significance in these DNA mismatch repair proteins substantially reduced the ATPase activity, indicating functional impairment, and a structural and functional framework for interpreting disease-associated variants in GHKL ATPases is provided.
Kenji Fukui, Ayaka Shibuya, T. Murakawa et al.· bioRxiv· 0 citations
Investigating the physiological responses of the invasive Mediterranean mussel to osmotic stress by studying two populations in Los Angeles County, CA with contrasting hydrology highlights that local environmental histories shape physiological resilience, which will dictate how marine bivalves cope with future climate-...
Alyssa Rodriguez, Alexander J. Provenzano, Clare T. Houston et al.· Frontiers in Ecology and Evo...· 0 citations
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Heat-induced stress (HS) amid global warming compromise cattle reproductive performance causing economic loss including the vulnerable Korean native beef cattle, Hanwoo. Nevertheless, knowledge of response and effect in cattle oviduct epithelial cells (OEC) under HS remains lacking due to restricted commercia...
Ismail Shaleh, Sung Woo Kim, T. Park et al.· Animal bioscience· 0 citations
New insights are provided into the physiological mechanisms of host adaptation in spider mites and the carboxylesterase gene TtCarE-4 is identified as a potential RNAi target for sustainable pest management.
En-Dao Wang, Zhi-Cheng Yang, Pei Wang et al.· Insects· 0 citations
A substantial number of deleterious variants involved glycine substitutions, which are likely to affect protein flexibility, folding, and intermolecular interactions, potentially impairing the structural integrity of the glomerular basement membrane.
Established genomic and population-level evidence support a Likely Pathogenic, loss-of-function classification for the TTN p.Arg3936Ter variant, which introduces a premature termination codon predicted to generate a truncated titin protein of 3,935 amino acids and is predicted to escape nonsense-mediated decay.
Lydier De Gracia, O. Espinosa, L. Sotillo et al.· Gene Clin Genom· 0 citations
Dynamical Topology Optimization (DTO) provides a framework for optimizing complex network topologies by iteratively refining connections based on emergent properties. This paper introduces a novel algorithm, termed 'Adaptive Topology Evolution', which integrates reinforcement learning and graph theory to achieve automa...
Jincheng Zhang· Zenodo (CERN European Organi...· 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.