Description:

ProteinMPNN (Protein Message Passing Neural Network) is a deep learning-based graph neural network designed to predict amino acid sequences for given protein backbones. This network leverages evolutionary, functional, and structural information to generate sequences that are likely to fold into the desired 3D structures.

This model is available for commercial use.

What Is NVIDIA NIM?

NVIDIA NIM, part of NVIDIA AI Enterprise, is a set of easy-to-use microservices designed to accelerate deployment of generative AI across cloud, data center, and workstations.

Benefits of self-hosted NIMs:

• Deploy anywhere and maintain control of generative AI applications and data

• Streamline AI application development with industry standard APIs and tools tailored for enterprise environments

• Prebuilt containers for the latest generative AI models, offering a diverse range of options and flexibility right out of the gate

• Industry-leading latency and throughput for cost-effective scaling

• Support for custom models out of the box so models can be trained on domain specific data

• Enterprise-grade software with dedicated feature branches, rigorous validation processes, and robust support structures

Getting started with ProteinMPNN NIM

Please visit the ProteinMPNN NIM Documentation for how to get started.

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For certain open-source vulnerabilities listed in the scan results, NVIDIA provides a response in the form of a Vulnerability Exploitability eXchange (VEX) document. The VEX information can be reviewed and downloaded from the Security Scanning tab.

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