AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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633 papers
The proposed multi-epitope vaccine shows promising immunological and structural properties, supporting its potential against S. typhimurium, pending experimental validation.
Pockets from a protein language model at locations where geometry finds no concavity improves single-structure recovery by 8.5% (95% CI +4.0 to +13.6) on test-fold data, and lets a five-conformer ensemble match a twenty-conformer one at a third of the wall clock.
Data reveal for the first time that CIGB-300 treatment is able to induce extracellular HMGB-1 release in vitro and in vivo which could be indicative of ICD induction in some kinds of tumors; furthermore, the induction of extracellular HMGB-1 alarmin as a putative CIGB-300 response biomarker merits further investigation.
An evolved hierarchy of paralog-specific JDP couplings that dynamically rewires the Hsp70 network from active repair to protection during stress is revealed, revealing an evolved hierarchy of paralog-specific JDP couplings that dynamically rewires the Hsp70 network from active repair to protection during stress.
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It is demonstrated that conformationally distinct tau polymorphs associate with disease-specific interaction networks across Alzheimer's disease, progressive supranuclear palsy, and dementia with Lewy bodies, providing molecular insight into tauopathy heterogeneity.
These highly powered, sedation-contextualized RI provide a definitive, species-specific diagnostic framework that will significantly enhance veterinary care, colony management, and the interpretation of translational research utilizing A. nancymaae.
Differential serum peptide expression in AR patients treated with BJK remedy compared to loratadine compared to loratadine is investigated using MALDI-TOF MS and LC-MS/MS to elucidate the mechanisms of BJK remedy and loratadine in treatment, supporting the further development of targeted therapies and biomarkers.
MCTH (Monte Carlo Tree Hallucination), an inference-only framework that casts all-atom sequence-structure co-design as uncertainty-aware planning over hallucinated states from pretrained folding and inverse-folding models, with optional biophysical control within the same decision loop is introduced.
HRBD demonstrated potent and broad-spectrum inhibition against Pangolin-CoV, SARS-CoV, SARS-CoV, SARS-CoV-2, and its variants, lowering the half-maximal inhibitory concentration (IC50) by approximately 1000-fold compared to the monomeric RBD.
Results demonstrated that the chimeric vaccine provides preliminary protection against a local B2 UPEC isolate, and modulating gut microbiota via faecal transplantation markedly enhances the immunogenicity and protective efficacy of vaccination, suggesting its adjuvanticity.
In situ atomic force microscopy is used to reveal the two-dimensional crystallization dynamics of streptavidin on muscovite mica with single-molecule resolution, establishing a paradigm of domain coarsening in biomolecular epitaxy, providing a solid foundation for the rational design of functional bio-nano interfaces.
ProteinReasoner is developed, a multimodal generative protein foundation model that sequentially connects amino acid sequence, evolutionary constraints and three-dimensional structure within a shared autoregressive architecture and suggests a general route towards reasoning across interdependent representations in other scientific domains.
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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