Principal Component Analysis to evaluate the stability impact of protein mutations: the case of SARS-CoV-2 K417T mutation
Author:
Affiliation:
1. Faculty of Computer Science, Goce Delcev University of Stip, Krste Misirkov No.10-A P.O. Box 201, 2000 Stip, N. Macedonia
2. Faculty of Pharmacy, Ss. Cyril and Methodius University in Skopje, Majka Tereza 47, 1000 Skopje, N. Macedonia
Publisher
Macedonian Pharmaceutical Association
Subject
General Engineering,Energy Engineering and Power Technology
Link
https://bulletin.mfd.org.mk/volumes/Volume%2069_3/69_3_133.pdf
Reference3 articles.
1. Abraham, M.J., Murtola, T., Schulz, R., Páll, S., Smith, J.C., Hess, B., Lindahl, E., 2015. GROMACS: High performance molecular simulations through multi-level parallelism from laptops to supercomputers. SoftwareX 1, 19-25. https://doi.org/10.1016/j.softx.2015.06.001.
2. Stojanov, D., 2021. Phylogenicity of B.1.1.7 surface glycoprotein, novel distance function and first report of V90T missense mutation in SARS-CoV-2 surface glycoprotein. Meta Gene, 30, p.100967.
3. Wang, Q., Mehmood, A., Wang, H., Xu, Q., Xiong, Y., Wei, D.Q., 2019. Computational screening and analysis of lung cancer related non-synonymous single nucleotide polymorphisms on the human kirsten rat sarcoma gene. Molecules 24(10), 1951. doi: 10.3390/molecules24101951.
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