Cardiovascular diseases account for a significant proportion of deaths worldwide. The common pathological feature underlying these diseases is atherosclerosis, which is characterized as an inflammatory condition driven by endothelial cell activation and dysfunction in its early stages. While the effects of the microbio...
Zeliha Rumanlı, A. Hacışevki· Fabad journal of pharmaceuti...· 0 citations
The field of topology has witnessed significant advancements in understanding and manipulating complex network structures, from protein folding to genome sequencing. This research introduces a novel approach to topology optimization – the "Adaptive Topology Optimization Algorithm" – that leverages a self-adaptive topol...
Jincheng Zhang· Zenodo (CERN European Organi...· 0 citations
Quantum error correction is a critical component of quantum computing, enabling the reliable operation of complex quantum algorithms. Current error correction schemes, however, are often cumbersome and require substantial overhead. This paper explores a novel quantum error correction scheme inspired by the self-correct...
Jincheng Zhang· Zenodo (CERN European Organi...· 0 citations
Table S1. The list of Mettl14-dependent m6A peaks identified by m6A -SAC-seq. The table includes the chromosome, chromosomal position, original genome sequence, mutated sequence, mutation ratio among transcripts, gene symbol, and the genomic location of m6A peaks identified using m6A-SAC-seq by comparing P0 WT and M14...
Quantum error correction is a critical component of quantum computing, enabling the reliable operation of complex quantum algorithms. Current error correction schemes, however, are often cumbersome and require substantial overhead. This paper explores a novel quantum error correction scheme inspired by the self-correct...
Jincheng Zhang· Zenodo (CERN European Organi...· 0 citations
Can the fundamental thermodynamic constraints of digestion and metabolic senescence be bypassed through pre-emptive molecular engineering? Under acute physiological exhaustion and severe nutrient starvation, standard enzymatic digestion collapses because breaking down tightly folded native globular proteins demands sub...
Volodymyr Naumenko· Zenodo (CERN European Organi...· 0 citations
The structural basis for peptide prenylation by a ComQ-family enzyme is established, providing insight into the evolution of peptide-based indole prenylation within the IPPS superfamily, and support the view that ComQ-family enzymes constitute a distinct functional branch specialized for peptide modification.
This work presents a complete Ada/SPARK implementation of the V3 Architecture, a deterministic mechanical framework that unifies atomic structure and protein folding under a single physical substrate: phase pressure in the H₃O₂ condensate. The program demonstrates that two major scientific problems—the organization of...
outail benhadid· Zenodo (CERN European Organi...· 0 citations
Can the fundamental thermodynamic constraints of digestion and metabolic senescence be bypassed through pre-emptive molecular engineering? Under acute physiological exhaustion and severe nutrient starvation, standard enzymatic digestion collapses because breaking down tightly folded native globular proteins demands sub...
Volodymyr Naumenko· Zenodo (CERN European Organi...· 0 citations
The simulation of complex biological systems, such as protein folding and gene regulation, presents significant challenges due to the inherent complexity and often intractable nature of these systems. Traditional computational methods struggle to capture the nuanced dynamics of biological processes, limiting our abilit...
Jincheng Zhang· Zenodo (CERN European Organi...· 0 citations
Engineering extended macromolecular therapeutics requires comprehensive structural modeling to verify tertiary folding fidelity and domain accessibility across repetitive structural units. In this study, we present the structural characterization of KH-002v003, an ultra-large synthetic multivalent fusion protein constr...
Khiem Le· Zenodo (CERN European Organi...· 0 citations
This paper explores the potential of utilizing geometric analysis as a novel approach to understanding the complexity of biological systems. Biological systems, particularly protein folding and gene regulation, exhibit intricate geometric structures. This research proposes a framework to quantify and analyze these stru...
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.