A framework for conditional diffusion modelling with applications in motif scaffolding for protein design

arXiv:2312.09236v2 Announce Type: replace
Abstract: Many protein design applications, such as binder or enzyme design, require scaffolding a structural motif with high precision. Generative modelling paradigms based on denoising diffusion processes emerged as a leading candidate to address this motif scaffolding problem and have shown early experimental success in some cases. In the diffusion paradigm, motif scaffolding is treated as a conditional generation task, and several conditional generation protocols were proposed or imported from the Computer Vision literature. However, most …

abstract applications arxiv cs.lg denoising design diffusion framework generative modelling motif precision processes protein q-bio.bm type