Systems-Structure-Based Drug Design

TL;DR

This paper presents a novel diffusion guidance method that integrates systems biology models into generative deep learning for small molecule drug design, improving specificity and efficiency by considering biological pathway context.

Contribution

It introduces a non-differentiable diffusion guidance approach that incorporates systems biology models into generative drug design, enabling pathway-aware molecule generation.

Findings

Enhanced molecule specificity for target proteins

Improved efficiency in drug discovery process

Successful application to BMP pathway

Abstract

Recent advances in generative deep learning have transformed small molecule design, but most methods lack biological systems context, focusing narrowly on specific protein pockets. We introduce a non-differentiable diffusion guidance method that integrates systems biology models, enhancing small molecule generation with pathway context. Using the Bone Morphogenetic Protein (BMP) pathway, we generate small molecules specific to one protein over competing proteins. This method enhances the precision and efficiency of small molecule drug discovery by incorporating systems biology insights into generative models.