Subject: Computer and information sciences
Subject: Health sciences
Year: 2023
Type: Conference or Workshop Item
Type: PeerReviewed
Title: Principal Component Analysis to evaluate the stability impact of protein mutations: the case of SARS-CoV2 K417T mutation
Author: Stojanov, Done
Author: Glavas Dodov, Marija
Author: Velinov, Aleksandar
Author: Nestorovska, Martina
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.
Publisher:
Relation: https://eprints.ugd.edu.mk/32264/
Identifier: oai:eprints.ugd.edu.mk:32264
Identifier: https://eprints.ugd.edu.mk/32264/1/CESPT%202023%20poster%20v2b%20Stojanov%20et%20al..pdfIdentifier: 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.
