AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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The resources and modeling advances supporting AI virtual cells' value for mechanism-of-action analysis, efficacy, safety, resistance, and combination studies are reviewed, and evidence requirements for pharmacological use are defined.
CAMF (Chirality- and Activity-cliff-aware Multimodal Framework), a task-adaptive framework that models SSPs through selective integration of complementary molecular evidence, reveals that modality relevance is strongly task-dependent, with descriptors and 3D geometry becoming especially important in non-smooth property...
TPS-Flow is presented, a physics-guided flow-based generative framework for end point-conditioned conformational path sampling between predefined protein states (not equilibrium ensembles), thereby bridging atomistic simulation and deep generative modeling of protein transition paths.
CoBind is presented, a multitask deep learning framework that jointly predicts RNA–compound interactions and nucleotide-level binding-site probabilities within a unified architecture and provides complementary nucleotide-level binding-site localization, supporting a site-aware view of RNA–ligand recognition under distr...
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