Bayesian Geometric Chaos with Adaptive Constraint Propagation represents a novel approach to modeling complex systems, particularly those exhibiting intricate dynamics and high-dimensional parameter spaces. This paper explores the integration of a variational Bayesian framework, incorporating adaptive constraint propag...
Jincheng Zhang· Zenodo (CERN European Organi...· 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
This paper explores the potential of quantum computing to revolutionize bioinformatics, specifically focusing on enhanced gene sequence analysis and protein structure prediction. The core concept centers around utilizing quantum error correction and quantum computation to accelerate these computationally intensive task...
Jincheng Zhang· Zenodo (CERN European Organi...· 0 citations
This paper proposes a novel approach to protein structure prediction leveraging principles from quantum mechanics, specifically entanglement and superposition. Traditional methods for protein folding, reliant on classical computational techniques, frequently struggle with accuracy and efficiency, particularly when deal...
Jincheng Zhang· Zenodo (CERN European Organi...· 0 citations
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Natural resistance-associated macrophage proteins (NRAMPs) are multifunctional metal transporters involved in plant biological responses to cadmium (Cd). Sugar beet (
Beta vulgaris
L.) is a promising energy crop with potential for heavy metal remediation, making it essential to understand the function of
BvN...
Xiaoxin Zhao, Shuoqi Huang, Xue-Yi Mu et al.· BMC Plant Biology· 0 citations
Abstract Chickpea ( Cicer arietinum L.) is a key rainfed crop in western Iran, whose productivity depends heavily on optimal sowing dates and biostimulant use. This study evaluated the effects of sowing date and foliar application of biostimulants on seed yield and yield components of desi chickpea. The study employed...
ABSTRACT Peptidylprolyl isomerase (PPIase) catalyzes the rate-limiting step of proline cis-trans isomerization during protein folding. In bacteria, multiple PPIases are commonly present and participate in diverse physiological processes. Myxococcus xanthus DK1622 possesses as many as 17 PPIase genes. We previously repo...
Tian-yu Wan, Rui-You Chen, Zi-Ye Zhou et al.· Applied and Environmental Mi...· 0 citations
Quantum simulation holds immense promise for understanding and manipulating complex dynamical systems – phenomena ranging from fluid dynamics and climate modeling to protein folding and the behavior of complex chemical reactions. However, current simulation techniques face significant limitations, particularly when dea...
Jincheng Zhang· Zenodo (CERN European Organi...· 0 citations
Interindividual variability in drug response arises from the complex interplay between inherited pharmacogenomic traits and environmental exposures. While genetic polymorphisms in cytochrome P450 (CYP450) enzymes are well-established determinants of metabolic capacity, the modulatory effects of environmental pollutants...
Favour Folashade Badmus, Elizabeth Chidinma Michael, Ayomide Zainab Adeshina et al.· Zenodo (CERN European Organi...· 0 citations
Interindividual variability in drug response arises from the complex interplay between inherited pharmacogenomic traits and environmental exposures. While genetic polymorphisms in cytochrome P450 (CYP450) enzymes are well-established determinants of metabolic capacity, the modulatory effects of environmental pollutants...
Favour Folashade Badmus, Elizabeth Chidinma Michael, Ayomide Zainab Adeshina et al.· Zenodo (CERN European Organi...· 0 citations
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
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.