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Created August 3, 2020 22:49
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Name: Folding@home COVID-19 datasets
Description: |
Folding@home is generating a significant amount of molecular dynamics simulation
data to identify cryptic pockets, understand antibody binding mechanisms, and identify
new small molecule therapeutics for human and SARS-CoV-2 proteins associated with COVID-19 disease.
This repository contains several major datasets from this effort.
All Folding@home COVID-19 simulation datasets are indexed in more detail at http://covid.molssi.org/simulations
Documentation: https://docs.opendata.aws/foldingathome-covid19/readme.html
Contact: https://foldingathome.org/diseases/infectious-diseases/covid-19/
UpdateFrequency: Not updated
Tags:
- aws-pds
- molecular-dynamics
- coronavirus
- COVID-19
- health
- life sciences
License: CC0, https://creativecommons.org/share-your-work/public-domain/cc0/
Resources:
# WashU
- Description: COVID-19 cryptic pockets dataset (deeplink to MolSSI COVID site with more info)
ARN: arn:aws:s3:::foldingathome-covid19-cryptic-pockets
Region: us-east-1
Type: S3 Bucket
# Temple U
- Description: COVID Moonshot absolute free energy calculations
ARN: arn:aws:s3:::foldingathome-covid19-absolute-free-energy
Region: us-east-1
Type: S3 Bucket
# MSKCC
- Description: COVID Moonshot relative free energy calculations
ARN: arn:aws:s3:::foldingathome-covid19-relative-free-energy
Region: us-east-1
Type: S3 Bucket
- Description: COVID-19 antibody:antigen simulations
ARN: arn:aws:s3:::foldingathome-covid19-antibodies
Region: us-east-1
Type: S3 Bucket
- Description: COVID Moonshot main viral protease dynamics
ARN: arn:aws:s3:::foldingathome-covid19-moonshot-dynamics
Region: us-east-1
Type: S3 Bucket
DataAtWork:
Tutorials:
Tools & Applications:
Publications:
- Title: Exploratory data analysis of genomic datasets using ADAM and Mango with Apache Spark on Amazon EMR
URL: https://aws.amazon.com/blogs/big-data/exploratory-data-analysis-of-genomic-datasets-using-adam-and-mango-with-apache-spark-on-amazon-emr/
AuthorName: Alyssa Marrow
AuthorURL: https://research.eecs.berkeley.edu/~akmorrow/
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