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- la-proteina Public
A partially latent flow matching model for the joint generation of a protein’s amino acid sequence and full atomistic structure, including both the backbone and side chain.
NVIDIA-Digital-Bio/la-proteina’s past year of commit activity - ReaSyn Public
ReaSyn is a model for predicting a molecule's synthesis pathway, reaction steps from building blocks to final product(s), using an encoder-decoder Transformer and a Chain-of-Reaction (CoR) notation.
NVIDIA-Digital-Bio/ReaSyn’s past year of commit activity - genmol Public
GenMol is a generative AI model for creating novel molecules. It utilizes masked discrete diffusion and fragment-based generation to create valid molecules, which are encoded in the SAFE molecular representation.
NVIDIA-Digital-Bio/genmol’s past year of commit activity - cuik-molmaker Public
cuik-molmaker is a specialized package designed for molecular featurization, converting chemical structures into formats that can be effectively used as inputs for deep learning models, particularly graph neural networks (GNNs).
NVIDIA-Digital-Bio/cuik-molmaker’s past year of commit activity - dualbind Public
DualBind is a 3D structure-based deep learning model with a dual-loss framework for accurate and fast protein-ligand binding affinity prediction.
NVIDIA-Digital-Bio/dualbind’s past year of commit activity - proteina Public
Proteina is a new large-scale flow-based protein backbone generator that utilizes hierarchical fold class labels for conditioning and relies on a tailored scalable transformer architecture.
NVIDIA-Digital-Bio/proteina’s past year of commit activity - .github Public
NVIDIA-Digital-Bio/.github’s past year of commit activity
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