Temporal Topology Optimization (TTO) presents a novel approach to biological system optimization, moving beyond static parameterization to model the dynamic evolution of topological states. This paper introduces a system leveraging network theory and evolutionary dynamics to predict emergent behaviors within biological...
Jincheng Zhang· Zenodo (CERN European Organi...· 0 citations
The findings reveal efflux pump-specific and strain-specific adaptations to antibiotic stress, positioning CraA as a major determinant of chloramphenicol resistance, while RND transporters such as AdeABC and AdeIJK may also be associated with broader stress adaptation processes, including redox and metal homeostasis, i...
W. Foong, Xin-Xin Xiang, Wen-Jun He et al.· mSystems· 1 citation
This paper investigates the algorithmic complexity of parallel simulations of complex systems, aiming to develop a novel algorithm that significantly reduces computational costs while maintaining accuracy. Complex systems, such as protein folding and climate modeling, demand substantial computational resources. Existin...
Jincheng Zhang· Zenodo (CERN European Organi...· 0 citations
Protein folding is a fundamental biological process, and achieving accurate and stable folding is critical for protein function. Current methods often struggle to preserve the intricate network of interactions within the protein structure, leading to misfolded proteins and disease. This paper introduces a novel Dynamic...
Jincheng Zhang· Zenodo (CERN European Organi...· 0 citations
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The platform as an analytically characterized, peptide-level EBV serology tool for translational research is supported, indicating that platform-level seropositivity reflects EBV exposure rather than an obvious MS-specific signal.
Milene Peterson, J. Hunter, Z. Gatalica et al.· Frontiers in Immunology· 0 citations
It is of utmost importance to investigate the effect of carbon-based nanostructures on plants in order to fully unlock their potential for enhancing productivity and stress tolerance. In this study, a comprehensive assessment of the effect of pre-sowing treatment of wheat seeds with fullerenol (PHF [C60(OH)24], 0.1 mg/...
A. N. Deryabin, Kseniya Zhukova, Nataliya Naraikina et al.· Plants· 0 citations
This study optimized CHI–C/Geln bilayer patches for laparoscopic surgical application by controlling patch thickness through compression and found that these flexible adhesive patches could serve as topical hemostats that function effectively in laparoscopic surgery.
Se-ah Kim, Hyun Ho Shin, Jeong Yun Lee et al.· ACS Omega· 0 citations
Decades of clinical trials targeting amyloid-beta plaques and tau tangles have yielded minimal therapeutic reversal in Alzheimer’s disease. Recent structural biology demonstrates that by the time macroscopic protein aggregates appear, the neuron’s fundamental information-processing highway—the microtubule lattice—has a...
Viktor Dyment· Zenodo (CERN European Organi...· 0 citations
Adseverin is a Ca2+-dependent, actin severing protein that promotes fusion of osteoclast precursors in osteoclast formation. Currently it is not understood how actin severing activity is regulated in osteoclastogenesis. Mass spectrometry of adseverin immunoprecipitates from osteoclasts showed that adseverin associated...
Yongqiang Wang, Chenfan Ji, Andrew Y. Wang et al.· Cells· 0 citations
This paper investigates the algorithmic complexity of parallel simulations of complex systems, aiming to develop a novel algorithm that significantly reduces computational costs while maintaining accuracy. Complex systems, such as protein folding and climate modeling, demand substantial computational resources. Existin...
Jincheng Zhang· Zenodo (CERN European Organi...· 0 citations
This analysis identified a conserved newly formed differentiating (NFOL)/differentiating → lipid remodeling → Stress/ISR-reactive architecture, with a pronounced expansion of the Stress/ISR-reactive compartment and altered transition-associated pathway enrichment in high ADNC WM.
Joseph P. Voth, Javier Ramos Benitez, Angela M. Wilson et al.· bioRxiv· 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.