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nvidia Single Cell Analysis

Investigate, understand, and interpret single cell data in minutes, not days by leveraging RAPIDS-singlecell, powered by NVIDIA RAPIDS

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nvidia Genomics Analysis

Easily run essential genomics workflows to save time leveraging Parabricks

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colabfold msa-search

Generates a multiple sequence alignment from a query sequence and a protein sequence database search.

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openfold openfold2

Predicts the 3D structure of a protein from its amino acid sequence, multiple sequence alignments, and templates.

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nvidia Evo 2 Protein Design

This workflow shows how generative AI can generate DNA sequences that can be translated into proteins for bioengineering.

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arc evo2-40b

Evo 2 is a biological foundation model that is able to integrate information over long genomic sequences while retaining sensitivity to single-nucleotide changes.

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nvidia Build A Generative Protein Binder Design Pipeline

This blueprint shows how generative AI and accelerated NIM microservices can design protein binders smarter and faster.

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deepmind alphafold2-multimer

Predicts the 3D structure of a protein from its amino acid sequence.

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meta esm2-650m

Generates embeddings of proteins from their amino acid sequences.

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deepmind alphafold2

Predicts the 3D structure of a protein from its amino acid sequence.

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ipd proteinmpnn

ProteinMPNN is a deep learning model for predicting amino acid sequences for protein backbones.

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ipd rfdiffusion

A generative model of protein backbones for protein binder design.

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meta esmfold

Predicts the 3D structure of a protein from its amino acid sequence.

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