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New Results A SARS-CoV-2-Human Protein-Protein Interaction Map Reveals Drug Targets and Potential Drug-Repurposing David E. Gordon, View ORCID ProfileGwendolyn M. Jang, View ORCID ProfileMehdi Bouhaddou, View ORCID ProfileJiewei Xu, View ORCID ProfileKirsten Obernier, View ORCID ProfileMatthew J. O’Meara, Jeffrey Z. Guo, View ORCID ProfileDanielle L. Swaney, View ORCID ProfileTia A. Tummino, View

Uncanny similarity of unique inserts in the 2019-nCoV spike protein to HIV-1 gp120 and Gag Prashant Pradhan$1,2 , Ashutosh Kumar Pandey$1 , Akhilesh Mishra$1 , Parul Gupta1 , Praveen Kumar Tripathi1 , Manoj Balakrishnan Menon1 , James Gomes1 , Perumal Vivekanandan*1 and Bishwajit Kundu*1 1 Kusuma School of biological sciences, Indian institute of technology, New Delhi-110016, India. 2 Acharya Nare

New Results Uncanny similarity of unique inserts in the 2019-nCoV spike protein to HIV-1 gp120 and Gag Prashant Pradhan, Ashutosh Kumar Pandey, Akhilesh Mishra, Parul Gupta, Praveen Kumar Tripathi, Manoj Balakrishnan Menon, James Gomes, Perumal Vivekanandan, Bishwajit Kundu

AbstractComplex biological systems can be described as a multitude of cell-cell interactions (CCIs). Recent single-cell RNA-sequencing technologies have enabled the detection of CCIs and related ligand-receptor (L-R) gene expression simultaneously. However, previous data analysis methods have focused on only one-to-one CCIs between two cell types. To also detect many-to-many CCIs, we propose scTen

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