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

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

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

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

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

Generates embeddings of proteins from their amino acid sequences.

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

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

A generative model of protein backbones for protein binder design.

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

Predicts the 3D structure of how a molecule interacts with a protein.