ProteinMPNN (Protein Message Passing Neural Network) is a cutting-edge, 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. The input to the neural network is a 3D structure of a protein in PDB format, and the output is the amino-acid sequence in Multi-FASTA format. ProteinMPNN is one of many NIMs that you can apply to tasks in biosciences and drug discovery. NIMs make it easy to chain models together to develop a complete in silico drug discovery pipeline. For example, you can use a ProteinMPNN NIM as a subsequent step after RFdiffusion generative model NIM in order to determine possible amino acid sequence. ProteinMPNN is available as an NVIDIA NIM™ microservice, part of NVIDIA AI Enterprise . NVIDIA NIM offers prebuilt containers for large language models (LLMs) that can be used to develop chatbots, content analyzers—or any application that needs to understand and generate human language. Each NIM consists of a container and a model and uses a CUDA-accelerated runtime for all NVIDIA GPUs, with special optimizations available for many configurations. NVIDIA NIM is the fastest way to achieve accelerated generative AI inference at scale and has been benchmarked to have up to 2.6x improved throughput latency. NVIDIA AI Enterprise
NVIDIA AI Enterprise is an end-to-end, cloud-native software platform that accelerates data science pipelines and streamlines development and deployment of production-grade co-pilots and other generative AI applications. Easy-to-use microservices provide optimized model performance with enterprise-grade security, support, and stability to ensure a smooth transition from prototype to production for enterprises that run their businesses on AI.
