Principal Component Analysis to evaluate the stability impact of protein mutations: the case of SARS-CoV2 K417T mutation

Stojanov, Done and Glavas Dodov, Marija and Velinov, Aleksandar and Nestorovska, Martina (2023) Principal Component Analysis to evaluate the stability impact of protein mutations: the case of SARS-CoV2 K417T mutation. In: 14th Central European Symposium on Pharmaceutical Technology (with focus on Pharmaceutical Development & Nanopharmaceuticals), 28-30 Sept 2023, Ohrid, N. Macedonia.

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Abstract

The severe acute respiratory syndrome CoV-2 (SARS-CoV-2), which was initially identified in the Wuhan Province, China spread worldwide rapidly. The intense escalation forced the WHO to declare a pandemic with 6.5 million deaths worldwide. The SARS-CoV-2 virus has a wide host range,
as it uses the angiotensin-converting enzyme 2 (ACE2) as a target receptor in humans. Several RBD residues mutated independently in multiple lineages. SARS-CoV-2 variants possess strong virulence and infectivity and can produce immune escape.

Item Type: Conference or Workshop Item (Poster)
Subjects: Natural sciences > Computer and information sciences
Medical and Health Sciences > Health sciences
Divisions: Faculty of Computer Science
Depositing User: Done Stojanov
Date Deposited: 28 Sep 2023 09:06
Last Modified: 28 Sep 2023 09:06
URI: https://eprints.ugd.edu.mk/id/eprint/32264

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