Simulation / Modeling / Design

Accelerating Computational Drug Discovery with Clara Discovery from NVIDIA NGC

Recently we announced the launch of collections as a key feature of the NGC catalog. There we have curated relevant containers, models, code, and helm charts in one place, without having to locate and coordinate various individual building blocks across the catalog. NGC collections span different use cases, ranging from object detection to natural language processing. 

We are excited to announce that we have added NVIDIA Clara Discovery to the growing set of NGC collections. Clara Discovery is a collection of frameworks, applications, and AI models enabling GPU-accelerated computational drug discovery in proteomics, microscopy, virtual screening, computational chemistry, visualization, genomics, clinical imaging, and natural language processing.

Clara Discovery supports genomic workflows with Clara Parabricks, cryo-EM pipelines with Relion, virtual screening with Autodock, protein structure prediction with MELD, molecular simulation with several 3rd party applications, cheminformatics with RAPIDS, medical imaging with Clara Imaging, and NLP with Clara NLP pre-trained models BioMegatron, BioBert and the NeMo training framework. 

Packed with several key features such as optimized libraries, transfer and federated learning, easy to use APIs and powerful visualization tools, the Clara Discovery NGC collection provides a quick way to get started software and models to glean valuable insights from your computational drug discovery data.

Get started with NVIDIA Clara Discovery today. 

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