Protein Structure Prediction
Showing 7 of 7 projects
Open source implementation of AlphaFold 2, a deep learning system for highly accurate protein structure prediction.
AlphaFold 3 is an AI model that predicts the 3D structures of proteins and their interactions with other biomolecules like DNA, RNA, and ligands.
A collection of transformer protein language models for predicting structure, function, and designing proteins from sequences.
A family of open-source deep learning models for accurate biomolecular interaction and binding affinity prediction, rivaling AlphaFold3 and physics-based methods.
A trainable, memory-efficient PyTorch reproduction of AlphaFold 2 for protein structure prediction.
A deep learning system for accurate protein structure and interaction prediction using a three-track neural network.
A curated list of deep learning implementations and resources for biological research, with a focus on genomics.
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