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SARS-CoV-2 nsp3 pl2pro domain dataset: An 731 µs dataset of the SARS-CoV-2 nsp3 pl2pro domain in search of cryptic pockets by The Bowman lab at Washington University in St.

SARS-CoV-2 spike RBD with P337L mutation bound to monoclonal antibody S309 (923.2 µs) by The Chodera lab at the Memorial Sloan Kettering Cancer Center.

SARS-CoV-2 spike RBD (with glycosylation) (1.8 ms) by The Chodera lab at the Memorial Sloan Kettering Cancer Center.

The complete index of all datasets can be found here.

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In addition to working directly with experimental collaborators and rapidly sharing new research findings through preprint servers, has joined other researchers in committing to rapidly share all COVID-19 research data, and has joined forces with AWS and the Molecular Sciences Software Institute (MolSSI) to share datasets of unprecented side through the AWS Open Data Registry, indexing these massive datsets via the MolSSI COVID-19 Molecular Structure and Therapeutics Hub. More information about COVID-19 research activities at the COVID-19 page. In the process, it created the world's first exascale distributed computing resource, enabling it to generate valuable scientific datasets of unprecedented size. During the COVID-19 epidemic, focused its resources on understanding the vulernabilities in SARS-CoV-2, the virus that causes COVID-19 disease, and working closely with a number of experimental collaborators to accelerate progress toward effective therapies for treating COVID-19 and ending the pandemic. Run by the Consortium, a worldwide network of research laboratories focusing on a variety of different diseases, seeks to address problems in human health on a scale that is infeasible by another other means, sharing the results of these large-scale studies with the research community through peer-reviewed publications and publicly shared datasets.

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Spatial Organization And Molecular Correlation Of Tumor-Infiltrating Lymphocytes Using DeepĪlchemical free energy calculations biomolecular modeling coronavirus COVID-19 foldingathome health life sciences molecular dynamics protein SARS-CoV-2 simulations structural is a massively distributed computing project that uses biomolecular simulations to investigate the molecular origins of disease and accelerate the discovery of new therapies.

Pan-Cancer Alterations of the MYC Oncogene and its Proximal Network Across The Cancer Genomeīy Franz X.

TCGA Cancers Selected for Study by National Cancer Institute.

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GDC Legacy Archive by National Cancer Institute.

The dataset contains open Clinical Supplement, Biospecimen Supplement, RNA-Seq Gene Expression Quantification, miRNA-Seq Isoform Expression Quantificati. TCGA has analyzed matched tumor and normal tissues from 11,000 patients, allowing for the comprehensive characterization of 33 cancer types and subtypes, including 10 rare cancers. The Cancer Genome Atlas (TCGA), a collaboration between the National Cancer Institute (NCI) and National Human Genome Research Institute (NHGRI), aims to generate comprehensive, multi-dimensional maps of the key genomic changes in major types and subtypes of cancer. Cancer genomic life sciences STRIDES whole genome sequencing