AI Molecular Design and the Interactome for Drug Discovery
Автор: KEN WASSERMAN
Загружено: 2026-02-21
Просмотров: 11
Описание:
NotebookLM: "...biological foundation models for predicting cellular responses and designing biomolecular interactions [are discussed]. The first paper demonstrates that interactome-based models and attention-based fusion methods significantly outperform simple baselines when predicting how cells respond to genetic or chemical perturbations. It highlights that while many models struggle to beat basic statistical methods, specific data modalities like protein-protein networks provide the most critical predictive information. The second source introduces ODesign, a generative "world model" designed for the cross-modality design of proteins, nucleic acids, and small molecules. This framework uses a unified token space and diffusion modules to achieve high-throughput generation of molecular binders and structures across diverse biological tasks. Together, these documents illustrate a shift toward unified AI frameworks that leverage large-scale pretraining to simulate and engineer complex biological systems with atomic-level precision."
https://storage.googleapis.com/isomor...
https://www.biorxiv.org/content/10.64...
https://arxiv.org/abs/2510.22304
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