New Results
Using iCn3D and the World Wide Web for structure-based collaborative research: Analyzing molecular interactions at the root of COVID-19
View ORCID ProfilePhilippe Youkharibache, View ORCID ProfileRaul Cachau, Tom Madej, Jiyao Wang
doi: https://doi.org/10.1101/2020.07.01.182964
Philippe Youkharibache
1Cancer Data Science Lab, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
Raul Cachau
2Advanced Biomedical Computational Science, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
Tom Madej
3National Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
Jiyao Wang
3National Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
Posted July 06, 2020.
Using iCn3D and the World Wide Web for structure-based collaborative research: Analyzing molecular interactions at the root of COVID-19
Philippe Youkharibache, Raul Cachau, Tom Madej, Jiyao Wang
bioRxiv 2020.07.01.182964; doi: https://doi.org/10.1101/2020.07.01.182964
Subject Area
Subject Areas
- Biochemistry (11715)
- Bioengineering (8723)
- Bioinformatics (29128)
- Biophysics (14935)
- Cancer Biology (12049)
- Cell Biology (17359)
- Clinical Trials (138)
- Developmental Biology (9406)
- Ecology (14144)
- Epidemiology (2067)
- Evolutionary Biology (18268)
- Genetics (12221)
- Genomics (16767)
- Immunology (11843)
- Microbiology (28014)
- Molecular Biology (11560)
- Neuroscience (60810)
- Paleontology (450)
- Pathology (1864)
- Pharmacology and Toxicology (3231)
- Physiology (4940)
- Plant Biology (10384)
- Synthetic Biology (2878)
- Systems Biology (7333)
- Zoology (1642)