AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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2,500 papers
NS1-based serology revealed a markedly underestimated TBEV infection burden and may improve surveillance, identification of emerging risk areas, and targeted vaccination strategies.
It is demonstrated that NSF-based multidimensional analysis integrating PGM-based GPC3 protein detection and Septin9/RASSF1A methylation profiling provides substantial complementary diagnostic value to conventional pathology, presenting a promising strategy for precision diagnosis of liver cancer.
BACKGROUND The study aimed to determine the profile of group B trichothecenes (TCTBs), to estimate the daily exposure to them and to evaluate the relationship with the composition of different types of sliced wheat bread. A method for simultaneous determination of the TCTBs (deoxynivalenol (DON), 3-acetyl-deoxynivaleno...
It is demonstrated that serum glycopatterns combined with machine learning provided a promising objective tool for MDD diagnosis and severity assessment.
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Ca2+/Ln3+ exchange is established as a strategy for controlled modulation of lectin activity and for developing new tools to investigate C‐type lectin‐mediated biological processes.
Condensin II shapes interphase genome architecture: species that lack it tend to fold their chromosomes in a Rabl-like, type-I configuration, while species that have it form chromosome territories (type II). In the study that established this, the tardigrade Hypsibius dujardini (now H. exemplaris) was the only species...
Viroid-like RNAs (vdlRNAs) are infectious agents characterized by single-stranded circular genomes folding into compact secondary structures, often containing self-cleaving ribozymes involved in replication. Recent metatranscriptomic studies have expanded their diversity across multiple ecological niches and revealed n...
Large-scale mining of public transcriptomic datasets can reveal viral diversity that remains invisible to conventional virus-surveillance approaches, while increasingly powerful structure-prediction methods provide a complementary route to characterizing highly divergent viral proteins. Here, we combine sequence detect...
ESMCHalo is a frozen protein-sequence predictor that combines ESMC-600M layer-36 canonical mean representations with five compact student heads trained using out-of-fold teacher targets with documented cross-fold limitations. The release provides frozen inference code, model checkpoints, calibration, a fixed threshold,...
The mainstream approach to splicing therapy today involves synthetic antisense oligonucleotides. ASOs interfere with spliceosomal ribozyme assembly by blocking splice sites or influence protein regulators by blocking or adding their binding sites. ASOs are not compatible with human biology, which limits their efficacy...
U2, U6 and U5 are the components of spliceosomal ribozymes that descend from mobile self-splicing introns. The fragmentation of ancestral introns in eukaryogenesis led to the evolution of the ribozyme assembly in trans using common snRNAs and protein-chaperones. This stepwise process provides opportunities to target di...
Start with the six-page PDF. On 19 September 2026 Edison Scientific and FutureHouse published twelve Millennium Problems for Biology with explicit acceptance criteria. This note takes two of them, Problem 3 (the reverse translatase) and Problem 10 (the protein amplification chain reaction), and proves what the criteria...
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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