Protein Design
Showing 9 of 9 projects
A collection of transformer protein language models for predicting structure, function, and designing proteins from sequences.
An open-source diffusion model for generating and designing protein structures, including binders, symmetric oligomers, and motif-scaffolded proteins.
A multimodal protein language model for generative protein design and engineering by jointly reasoning over sequence, structure, and function.
A deep learning model for protein sequence design that generates amino acid sequences for given protein backbones.
Open-source language models and tools for protein engineering and design using AI.
A diffusion framework for controllable protein sequence and evolutionary alignment generation using discrete diffusion models.
A comprehensive benchmark suite for evaluating protein fitness prediction models using deep mutational scanning and clinical variant data.
A curated collection of research papers tracking the frontier of AI-based protein design methods and applications.
A benchmark suite of protein sequence tasks to evaluate machine learning models for protein design.
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