Computational Biology
Showing 16 of 16 projects
A collection of 134 ready-to-use Agent Skills for scientific research, covering genomics, drug discovery, clinical analysis, and more.
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 free, self-taught curriculum for learning bioinformatics using online courses from top universities.
An open-source Python library for applying deep learning to drug discovery, materials science, quantum chemistry, and biology.
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.
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 system for accurate protein structure and interaction prediction using a three-track neural network.
A fast RNA-seq aligner for mapping spliced transcript sequences to a reference genome.
A curated list of deep learning implementations and resources for biological research, with a focus on genomics.
A multi-modal foundation model for state-of-the-art molecular structure prediction of proteins, small molecules, DNA, RNA, and glycosylations.
A deep learning model for protein sequence design that generates amino acid sequences for given protein backbones.
A transformer-based foundation model pretrained on millions of single-cell profiles for generative AI tasks in single-cell multi-omics.
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