AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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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...
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...
By combining conditional pre-trained language model fine-tuning with dynamic structural evaluation, the framework advances beyond static sequence-based predictions to address the structural and functional dimensions of enzyme behavior, key aspects for both biomedical and industrial applications.
It is described that downregulation of WNK1 through RNA interference in HEK293 cells led to a two-fold decrease in cell-surface GLUT1 abundance, concomitant with a 40% decrease in glucose uptake.
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This release contains the version of the FCKcat code associated with the manuscript: Overcoming systematic data biases enables accurate prediction of enzyme kcat fold-changes for computational protein design Authors: Yvan Rousset, Alexander Kroll, and Martin J. Lercher The data and trained model files required to repro...
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...
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...
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...
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...
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...
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...
Proof of concept for watermarking AI-generated proteins while preserving biological function.
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.
Scientists are using AlphaFold to strengthen a photosynthesis enzyme for resilient, heat-tolerant crops.
Explore how AlphaFold has accelerated science and fueled a global wave of biological discovery.
AlphaFold has revealed the structure of a key protein behind heart disease
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