AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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2,550 papers
Abstract For more than 50 years, the linear sequence and the multiple sequence alignment have been the foundational data structures of protein science, and they remain central to homology search, phylogenetic inference, covariance-based contact prediction, and modern protein language models. However, relational and gra...
Aim : to compare the discriminative ability and calibration of nested-architecture machine learning (ML) models and the Fetal Medicine Foundation (FMF) algorithm for predicting early-onset (< 34 weeks) and late-onset (≥ 34 weeks) preeclampsia (PE) in the first trimester of pregnancy in Russian population. Mater...
BACKGROUND We have recently reported the preclinical characterization of a recombinant birch pollen allergy vaccine based on a fusion protein, AB-PreS, consisting of allergen-derived peptides fused to the hepatitis B virus (HBV)-derived PreS surface protein as immunological carrier. OBJECTIVE To investigate in a clin...
Findings identify HPS and PRP as biologically active secretomes with potential to support neuronal structural remodeling, warranting investigation in primary neuronal cultures and in vivo models of peripheral nerve regeneration.
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Figure S2. Renal expression profile of qPCR-assessed candidate miRNA target genes in CLP and sham piglets. The horizontal bar plot shows log2 fold changes in renal mRNA expression in CLP relative to sham kidneys after normalization to 18S rRNA. Positive and negative values indicate higher and lower expression in the CL...
Biogenesis of the bacterial outer membrane is key to bacterial survival and antibiotic resistance. Central to this is the β-barrel assembly machine (Bam) complex and its associated chaperones, which are responsible for transport, folding and insertion of outer membrane proteins (OMPs). The Escherichia coli Bam complex...
Improving the reconstituted translation system is a key requirement for bottom-up synthetic biology. Here, we developed a two-step in vitro evolutionary method that can be used for improving translational proteins. In this method, two distinct conditions were sequentially applied while maintaining genotype-phenotype...
Ideally, protein design could optimize several properties at once while ensuring the protein satisfies basic biophysical constraints such as folding, stability, solubility, and expression. However, most guided generation methods optimize only one or two simple objectives. We developed a workflow that uses predictive mo...
This study systematically investigates the regulatory effect of exogenous nicotinamide on soybean saline–alkaline tolerance and identifies its candidate genes and putative mechanisms under salt-stressed conditions.
Introduction Soft-shelled eggs are a major eggshell defect in poultry production, yet the underlying mechanisms of their formation remain unclear. The objective of this study was to characterize biological changes associated with soft-shelled egg formation in laying hens by integrating quantitative proteomics and untar...
It is demonstrated that maximizing recombinant protein production requires optimization of both yield and structural quality and establish complementary strategies for improving secreted protein expression in Pichia.
This paper presents a novel approach to biological molecular dynamics simulations utilizing dynamic topology. Traditional methods often rely on static molecular arrangements, limiting the ability to capture intricate interactions. We introduce a dynamic topology framework that dynamically adjusts the geometry of molecu...
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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