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A high-performance, GPU-accelerated library for key computational chemistry tasks, such as molecular similarity, conformer generation, and geometry relaxation.
Generative model for protein binder design for protein and small molecule targets. Combines a pretrained flow-based generative model (built on La-Proteina) with…
cuik-molmaker is a specialized package designed for molecular featurization, converting chemical structures into formats that can be effectively used as inputs …
The code for JEPA-DNA implements a genomic foundation model that combines generative pretraining with a joint-embedding predictive objective, enabling the model…
A high-performance GPU-accelerated library for Kolmogorov-Arnold Networks (KANs) built with NVIDIA Warp, featuring efficient B-spline evaluation and support for…
RNAPro is a state-of-the-art RNA 3D folding model developed in collaboration with the hosts and winners of the Stanford RNA 3D Folding Kaggle competition.
GenMol is a generative AI model for creating novel molecules. It utilizes masked discrete diffusion and fragment-based generation to create valid molecules, whi…
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 a…
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…
Proteina is a new large-scale flow-based protein backbone generator that utilizes hierarchical fold class labels for conditioning and relies on a tailored scala…