Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
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: 2 days ago
JSON representation
-
2. Resources by Workflow Type
-
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
-
2.2. Resources for Sequence Property Prediction
-
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
-
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
-
2.7. Resources for Protein Design
-
2.8. Other Resources
-
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
-
-
3. Content Creators
-
2.8. Other Resources
-
Programming Languages
Sub Categories
2.8. Other Resources
23
2.3. Resources for Structure Prediction
12
2.6. Resources for Molecular Dynamics Simulations
10
2.5. Resources for Experimental Analysis
10
2.4. Resources for Protein Language Model Training
4
2.7. Resources for Protein Design
4
2.2. Resources for Sequence Property Prediction
2