Papers: 10.1038/s41598-020-74598-5
https://doi.org/10.1038/s41598-020-74598-5
Expression of SARS-CoV-2 entry factors in lung epithelial stem cells and its potential implications for COVID-19
Cited by: 36
Author(s): Anna A. Valyaeva, Anastasia A. Zharikova, Artem S. Kasianov, Yegor S. Vassetzky, Eugene V. Sheval
Published: almost 5 years ago
Software Mentions 4
Very Likely Science (100)
Very Likely Science (100)
pypi: kallisto
The Kallisto software enables the efficient calculation of atomic features that can be used within a quantitative structure-activity relationship (QSAR) approach. Furthermore, several modelling helpers are implemented.Papers that mentioned: 307
Very Likely Science (100)
Very Likely Science (75)