Simple Summary Bacillus thuringiensis Vip3 proteins are useful in biological control because of their specificity and low cross-resistance with Cry proteins. Therefore, it is important to reveal the insecticidal activities of these proteins by enhancing their efficacy. In this study, we aimed to investigate the insecti...
B. Şahin, Patricia Hernández-Martínez, Juan Ferré· Biology· 0 citations
The results highlight the potential of virus-like particles (VLPs) as model systems for elucidating and engineering the self-assembly of hierarchical biomaterials, opening new avenues for the development of sustainable, tunable protein-based materials for advanced applications.
Guido M. Merino, Matthew J. Harrington, A. S. Blum· Small· 0 citations
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 provide a quantitative pharmacokinetic basis for the NO-mediated pharmacodynamic effects observed with both compounds and support the role of CIT as an effective oral precursor of ARG.
Sung-Min Song, Subindra Kazi Thapa, Mahesh Upadhyay et al.· Frontiers in Pharmacology· 0 citations
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This paper introduces a novel self-adaptive optimization algorithm designed for modeling biological molecules. Biological systems exhibit intricate and dynamic behaviors, making traditional optimization methods often inadequate. This algorithm addresses this limitation by incorporating a self-adjustment mechanism that...
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
Background: Mesenchymal stromal cell-derived conditioned medium (MSC-CM) represents a promising cell-free approach for regenerative medicine; however, variability in production conditions remains a major challenge for standardization. This study investigated how serum-free conditioning duration influences the proteomic...
It is demonstrated that DVA exerts a dual therapeutic effect by restoring essential mitochondrial and metabolic pathways while simultaneously suppressing inflammation, oxidative stress, and cytoskeletal dysregulation in CKD.
This paper introduces a novel framework for quantum computing that integrates adaptive quantum state generation algorithms with the self-adaptive geometry of topology. The core idea is to combine the precision of quantum computation with the inherent flexibility of topological structures. We propose a method for dynami...
Jincheng Zhang· Zenodo (CERN European Organi...· 0 citations
This paper introduces an innovative framework for analyzing and optimizing fractal networks, leveraging the concept of 'Symmetry Metric' to guide network design. We propose a novel method for quantifying network structure using a mathematical definition of self-similarity and employing this metric to optimize network p...
Jincheng Zhang· Zenodo (CERN European Organi...· 0 citations
Psoriasis is a chronic inflammatory skin disorder marked by skin hyperproliferation and rapid inflammation. Effective therapies should be immunomodulatory, anti-inflammatory and antioxidant in nature. This study evaluates the therapeutic potential of grape seed extract (GSE) (Vitis vinifera L.) in managing psoriasis b...
T Vandanaraj, T Santhrani· Plant Science Today· 0 citations
Quantum-driven constraint on complex systems aims to accelerate solution processes by dynamically adjusting constraint parameters. This paper explores the potential of quantum annealing and variational quantum eigensolver (VQE) to optimize these parameters. The core claim is to implement an algorithm that dynamically a...
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.
