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Local topology and bifurcation hot-spots in proteins with SARS-CoV-2 spike protein as an example
Stockholm University, Nordic Institute for Theoretical Physics (Nordita). Beijing Institute of Technology, China; Far Eastern Federal University, Russia.ORCID iD: 0000-0003-3408-5834
Number of Authors: 22021 (English)In: PLOS ONE, E-ISSN 1932-6203, Vol. 16, no 9, article id e0257886Article in journal (Refereed) Published
Abstract [en]

Novel topological methods are introduced to protein research. The aim is to identify hot-spot sites where a bifurcation can alter the local topology of the protein backbone. Since the shape of a protein is intimately related to its biological function, a substitution that causes a bifurcation should have an enhanced capacity to change the protein's function. The methodology applies to any protein but it is developed with the SARS-CoV-2 spike protein as a timely example. First, topological criteria are introduced to identify and classify potential bifurcation hot-spot sites along the protein backbone. Then, the expected outcome of asubstitution, if it occurs, is estimated for a general class of hot-spots, using a comparative analysis of the surrounding backbone segments. The analysis combines the statistics of structurally commensurate amino acid fragments in the Protein Data Bank with general stereochemical considerations. It is observed that the notorious D614G substitution of the spike protein is a good example of a bifurcation hot-spot. A number of topologically similar examples are then analyzed in detail, some of them are even better candidates for a bifurcation hot-spot than D614G. The local topology of the more recently observed N501Y substitution is also inspected, and it is found that this site is proximal to a different kind of local topology changing bifurcation.

Place, publisher, year, edition, pages
2021. Vol. 16, no 9, article id e0257886
Keywords [en]
Topology, Amino acid analysis, Protein structure, Deformation, Amino acid substitution, SARS CoV 2, Substitution mutation, Bond angles
National Category
Other Natural Sciences Infectious Medicine
Identifiers
URN: urn:nbn:se:su:diva-201956DOI: 10.1371/journal.pone.0257886ISI: 000743903000050PubMedID: 34591922OAI: oai:DiVA.org:su-201956DiVA, id: diva2:1636251
Available from: 2022-02-09 Created: 2022-02-09 Last updated: 2022-02-28Bibliographically approved

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Niemi, Antti J.

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