AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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2,623 papers
A comparative overview of dual experimental and computational advancements is provided and how the integration of generative diffusion models could facilitate the real-time simulation of conditional, multi-state structural ensembles across the redox proteome is highlighted.
This work discusses peptide grafting into hypervariable and framework loops, terminal fusion to antibody chains, Fc-peptide fusion proteins, and bioconjugation approaches, and examines examples that illustrate the importance of insertion site, peptide topology, and linker design for folding, activity, and developabilit...
Optimization of UM171, a molecular glue initiating the degradation of neosubstrate HDAC1/2–CoREST–LSD1 through a multiprotein complex formed with KBTBD4, resulted in a 20‐fold improvement in glue activity, demonstrated by the stability of its ternary complex with KBTBD4‐HDAC2.
The model showing higher stability in molecular dynamics simulations and consistency with known structure–activity relationships served as template to design novel hNPS analogues, which revealed the model's inability to capture hNPS bioactive conformation, as most analogues were inactive as agonists.
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Owing to the collateral trans-cleavage activity of Cas12a and the high peroxidase-like nanozyme activity of G4/Hemin, this method achieves the highly sensitive SERS detection of genetically modified samples without target gene preamplification.
Improvements enabling quantification of site-specific modifications, including post-translational modifications and covalent compound-protein interactions spanning diverse pathways are described.
Amyloid fibrils are implicated in a myriad of human diseases. A striking observation is that fibrils extracted from diseased tissues are characterized by a restricted set of folds unique to the specific pathology. In contrast, fibrils grown in vitro exhibit extensive structural diversity, suggesting that specific envir...
Findings identify pose ranking, rather than pose generation, as the major limitation of current cyclic peptide–protein complex prediction and demonstrate that complementary structural features can improve confidence-based pose selection.
This work introduces BEAM, a multiscale framework that learns slow collective variables from coarse-grained simulations to guide all-atom enhanced sampling to explain how vectorial secretion accelerates pertactin folding by excluding an off-pathway kinetic trap.
This work identified the key molecular determinant in the hHv1 channel that mediates cholesterol inhibition and also provided a mechanism linking the conversion between demosterol and cholesterol by DHCR24 to pH homeostasis in many cells, such as phagocytes, cardiomyocytes, neurons and microglial cells.
This work proves that ancient proteins can be reliably recovered from highly degraded palaeogenomic material, establishing a new computational avenue for evolutionary and biochemical research.
Peripheral blood mtDNA-CN is independently associated with cardiac diastolic function in hospitalized older adults, with a more pronounced association in frail individuals.
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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