Structured State-Space Sequence Models for De Novo Drug Design

Explore the cutting-edge application of Structured State-Space Sequence (S4) models in de novo drug design through this 57-minute conference talk. Delve into how S4 models are revolutionizing chemical language modeling for drug discovery tasks. Learn about the model's superior capacity to capture global properties of long sequences and its potential to advance the identification of bioactive compounds, design of drug-like molecules, and natural products. Discover the benchmarking process against state-of-the-art Chemical Language Models (CLMs) and the promising results in kinase inhibition. Gain insights into the background, evaluation methods, natural product design applications, and future outlook of this innovative approach. Engage with the Q&A session to deepen your understanding of S4 models and their untapped potential in molecular sciences.