id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-133453-23rfdkuw	Chen, Jiahui	Prediction and mitigation of mutation threats to COVID-19 vaccines and antibody therapies	2020-10-13		.txt	text/plain	8184	485	54	By integrating genetics, biophysics, deep learning, and algebraic topology, we deduce that some of the mutations such as M153I, S254F, and S255F may weaken the binding of S protein and antibodies, and potentially disrupt the efficacy and reliability of antibody therapies and vaccines in the development. The vaccination mechanism is to stimulate the primary immune response of the human body, which will activate T cells and B cells to generate the antibodies and long-lived memory cells that prevent infectious diseases, which is one of the most effective and economical means for combating with COVID-19 at this stage. Notably, understanding how mutations have changed the SARS-CoV-2 structure, function, infectivity, activity, and virulence is of great importance for coming up with life-saving strategies in virus control, containment, prevention, and medication, especially in the antibodies and vaccines development. Next, we study the BFE changes ∆∆G induced by 39 mutations on the SARS-CoV-2 S protein RBD for the antibody Fab 2-4 (PDB: 6XEY) in Figure 6 .	./cache/cord-133453-23rfdkuw.txt	./txt/cord-133453-23rfdkuw.txt