https://www.socictopen.socict.org/files/original/cdde8f0b2295438da6a71a2c6e4193f1.pdf e39f82268310475b39a785a8af8b5e94 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Antibody Engineering Towards Enhancement of Spike Protein SARS-COV-2 -m396 Binding Affinity Creator An entity primarily responsible for making the resource Fateme Sefid, Zahra Payandeh, Ghasem Azamirad, Iraj Rasooli Description An account of the resource Introduction: The SARS-COV-2 is a non-segmented positive-sense RNA virus that belongs to the genus Beta Coronavirus. The envelope-anchored trimeric spike protein on the virus surface is considered to be the key protein for the viral entry into the host cells. The angiotensin-converting enzyme 2 (ACE2) is reported to be the effective human receptor for SARS-COV-2.  ACE2 receptor can be prevented by neutralizing antibodies such as m396 targeting the virus receptor-binding site. Material and Methods: Considering the importance of computational docking, and in silico affinity maturation we aimed at finding the important amino acids of the m396 antibody. These amino acids were then replaced by other amino acids to improve antibody-binding affinity to receptor-binding domain (RBD) of the SARS-COV-2 spike protein. Finally, we measured the binding affinity of antibody variants to the antigen. Result: Our findings disclosed that several variant mutations could successfully improve the characteristics of the antibody binding compared to the normal antibodies. Conclusion: the antibodies developed may be possible candidates for stronger affinity binding to antigens. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource coronavirus, Bioinformatics, SARS-CoV-2, affinity maturation Identifier An unambiguous reference to the resource within a given context 10.22037/rrr.v5i.32838 Source A related resource from which the described resource is derived Regeneration, Reconstruction & Restoration Publisher An entity responsible for making the resource available Shahid Beheshti University of Medical Sciences Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Medicine, Medicine (General)