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Found 5 papers, 1 papers with code
Protein Structure and Sequence Generation with Equivariant Denoising Diffusion Probabilistic Models
Proteins are macromolecules that mediate a significant fraction of the cellular processes that underlie life.
Fast fixed-backbone protein sequence and rotamer design
Protein fixed-backbone sequence design is an important task in computational protein design, and being able to quickly and accurately modify or redesign side-chains is a useful subroutine in the context of functional design problems such as ligand binding site, enzyme, and binder design.
ProGen: Language Modeling for Protein Generation
Generative modeling for protein engineering is key to solving fundamental problems in synthetic biology, medicine, and material science.
Fully differentiable full-atom protein backbone generation
The fast generation and refinement of protein backbones would constitute a major advancement to current methodology for the design and development of de novo proteins.
Generative modeling for protein structures
Analyzing the structure and function of proteins is a key part of understanding biology at the molecular and cellular level.
