awesome-protein-analysis-on-aws
A curated list of resources for protein analysis on AWS
https://github.com/aws-samples/awesome-protein-analysis-on-aws
Last synced: 6 days ago
JSON representation
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2. Resources by Workflow Type
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2.5. Resources for Experimental Analysis
- Building Digitally Connected Labs with AWS
- Vertex Pharmaceuticals Reduces Costs of Cryo-EM Data Storage and Processing by 50% Using AWS
- Structural biologists learning cryo-electron microscopy can access educational resources powered by AWS
- How Thermo Fisher Scientific Accelerated Cryo-EM using AWS ParallelCluster
- CelerisTx: Drug Discovery for Incurable Diseases with ML on AWS
- ENPICOM Supports Faster Insights for Therapeutic Antibody Discovery Using AWS
- Building a GPU-enabled CryoEM workflow on AWS
- Cryo-EM on AWS ParallelCluster
- Japan’s High Energy Accelerator Research Organization, KEK, accelerates search for new vaccines with AWS
- Stion – a Software as a Service for Cryo-EM data processing on AWS
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2.2. Resources for Sequence Property Prediction
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2.3. Resources for Structure Prediction
- Build protein folding workflows to accelerate drug discovery on Amazon SageMaker
- Running protein structure prediction at scale using a web interface for researchers
- AlphaFold2 Webapp on AWS
- AWS EKS Architecture For OpenFold Inference
- AWS Batch Architecture for RoseTTAFold
- AWS and Accenture Help Merck Use Cloud Technology to Reduce Drug Discovery Time and Accelerate Clinical Trial Development
- Protein Structure Prediction at Scale using AWS Batch
- Accelerate protein structure prediction with the ESMFold language model on Amazon SageMaker
- Run inference at scale for OpenFold, a PyTorch-based protein folding ML model, using Amazon EKS
- Optimize Protein Folding Costs with OpenFold on AWS Batch
- Predicting protein structures at scale using AWS Batch
- Run AlphaFold v2.0 on Amazon EC2
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2.6. Resources for Molecular Dynamics Simulations
- Running cost-effective GROMACS simulations using Amazon EC2 Spot Instances with AWS ParallelCluster
- GROMACS performance on Amazon EC2 with Intel Ice Lake processors
- Running 20k simulations in 3 days to accelerate early stage drug discovery with AWS Batch
- Running GROMACS on GPU instances: multi-node price-performance
- Running GROMACS on GPU instances: single-node price-performance
- Running GROMACS on GPU instances
- GROMACS price-performance optimizations on AWS
- A new key to unlocking drug discovery
- Crowdsourcing a cure for COVID-19: How the cloud and Folding@home are accelerating research and drug discovery
- Folding@home infectious disease research with Spot Instances
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2.7. Resources for Protein Design
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2.8. Other Resources
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2.4. Resources for Protein Language Model Training
- Accelerate drug discovery with NVIDIA BioNeMo Framework on Amazon EKS
- Find the Next Blockbuster with NVIDIA BioNeMo Framework on Amazon SageMaker
- Protein language model training with NVIDIA BioNeMo framework on AWS ParallelCluster
- Efficiently fine-tune the ESM-2 protein language model with Amazon SageMaker
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3. Content Creators
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2.8. Other Resources
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Programming Languages
Sub Categories
2.8. Other Resources
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2.3. Resources for Structure Prediction
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2.6. Resources for Molecular Dynamics Simulations
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2.5. Resources for Experimental Analysis
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2.7. Resources for Protein Design
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2.4. Resources for Protein Language Model Training
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2.2. Resources for Sequence Property Prediction
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