<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.2 20190208//EN" "http://jats.nlm.nih.gov/publishing/1.2/JATS-journalpublishing1.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="brief-report" dtd-version="1.2" xml:lang="en">
    <front>
        <journal-meta>
            <journal-id journal-id-type="pmc">F1000Research</journal-id>
            <journal-title-group>
                <journal-title>F1000Research</journal-title>
            </journal-title-group>
            <issn pub-type="epub">2046-1402</issn>
            <publisher>
                <publisher-name>F1000 Research Limited</publisher-name>
                <publisher-loc>London, UK</publisher-loc>
            </publisher>
        </journal-meta>
        <article-meta>
            <article-id pub-id-type="doi">10.12688/f1000research.23865.1</article-id>
            <article-categories>
                <subj-group subj-group-type="heading">
                    <subject>Brief Report</subject>
                </subj-group>
                <subj-group>
                    <subject>Articles</subject>
                </subj-group>
            </article-categories>
            <title-group>
                <article-title>Prediction of the effectiveness of COVID-19 vaccine candidates</article-title>
                <fn-group content-type="pub-status">
                    <fn>
                        <p>[version 1; peer review: 1 approved, 1 approved with reservations]</p>
                    </fn>
                </fn-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Veljkovic</surname>
                        <given-names>Veljko</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-1980-0927</uri>
                    <xref ref-type="corresp" rid="c1">a</xref>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Perovic</surname>
                        <given-names>Vladimir</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Software</role>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Paessler</surname>
                        <given-names>Slobodan</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a3">3</xref>
                </contrib>
                <aff id="a1">
                    <label>1</label>Biomed Protection, Galveston, TX, 77550, USA</aff>
                <aff id="a2">
                    <label>2</label>Laboratory for Bioinformatics and Computational Chemistry, Institute of Nuclear Sciences VINCA, University of Belgrade, Belgrade, 11000, Serbia</aff>
                <aff id="a3">
                    <label>3</label>Department of Pathology, Galveston National Laboratory, University of Texas Medical Branch, Galveston, TX, 77555, USA</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:eveljkve@gmail.com">eveljkve@gmail.com</email>
                </corresp>
                <fn fn-type="conflict">
                    <p>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>14</day>
                <month>5</month>
                <year>2020</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2020</year>
            </pub-date>
            <volume>9</volume>
            <elocation-id>365</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>7</day>
                    <month>5</month>
                    <year>2020</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2020 Veljkovic V et al.</copyright-statement>
                <copyright-year>2020</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <self-uri content-type="pdf" xlink:href="https://f1000research.com/articles/9-365/pdf"/>
            <abstract>
                <p>A safe and effective vaccine is urgently needed to bring the current SARS-CoV-2 pandemic under control. The spike protein (SP) of SARS-CoV-2 represents the principal target for most vaccines currently under development. This protein is highly conserved indicating that vaccine based on this antigen will be efficient against all currently circulating SARS-CoV-2 strains. The present analysis of SP suggests that mutation D614G could significantly decrease the effectiveness of the COVID-19 vaccine through modulation of the interaction between SARS-CoV-2 and its principal receptor ACE2.</p>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>COVID-19</kwd>
                <kwd>SARS-CoV-2</kwd>
                <kwd>mutations</kwd>
                <kwd>vaccine effectiveness</kwd>
            </kwd-group>
            <funding-group>
                <funding-statement>The author(s) declared that no grants were involved in supporting this work.</funding-statement>
            </funding-group>
        </article-meta>
    </front>
    <body>
        <sec sec-type="intro">
            <title>Introduction</title>
            <p>SARS-CoV-2 is the novel highly infectious human coronavirus which by May 2020 has infected 3 million and killed more than 200,000 people. Until immunity is induced in large populations throughout the world this coronavirus is likely to become endemic seasonally causing the coronavirus disease 2019 (COVID-19) in millions worldwide. Scientists and drug companies around the world are working hard to develop a vaccine against the disease 
                <ext-link ext-link-type="uri" xlink:href="https://www.who.int/blueprint/priority-diseases/key-action/Novel-Coronavirus_Landscape_nCoV-4april2020.pdf?ua=1">with at least five candidate vaccines in clinical evaluation and another 71 in preclinical evaluation</ext-link>. The spike protein (SP) of SARS-CoV-2 is the principal target of most these vaccine candidates. Analysis of 5,700 isolates collected between December 2019 and April 2020 revealed only one mutation which was found in more than 1% of currently circulating viruses
                <sup>
                    <xref ref-type="bibr" rid="ref-1">1</xref>
                </sup>. This finding suggests that a single vaccine based on the consensus sequence of highly conserved SP antigen should be efficacious against current global strains.</p>
            <p>Human coronaviruses SARS-CoV and SARS-CoV-2 recognize the angiotensin converting enzyme 2 (ACE2)
                <sup>
                    <xref ref-type="bibr" rid="ref-2">2</xref>
                </sup> as the natural receptor but present a distinct binding interface to ACE2 and a different network of residue-residue contacts. SARS-CoV and SARS-CoV-2 have comparable binding affinity but the SARS-CoV-2&#x2013;ACE2 complex contains a higher number of contacts, a larger interface area, and decreased interface residue fluctuations relative to SARS-CoV
                <sup>
                    <xref ref-type="bibr" rid="ref-3">3</xref>
                </sup>. These suggest that the receptor binding site (RBD)&#x2013;ACE2 interface of SARS-CoV-2 resembles some properties of antibody-antigen interactions, which allow the accelerated evolution of spike protein (SP) binding to the ACE2 receptor, similar to the rapid evolution along the antibody-antigen affinity maturation process
                <sup>
                    <xref ref-type="bibr" rid="ref-3">3</xref>
                </sup>. This opens the question about the effectiveness of the vaccine against SARS-CoV with mutations, which modulate its interaction with the receptor.</p>
            <p>Previously, a novel bioinformatics approach for assessment of the effectiveness of the seasonal influenza vaccine was proposed
                <sup>
                    <xref ref-type="bibr" rid="ref-4">4</xref>
                </sup>. This approach, which is based on electronic biology, was successfully used for the prediction of the influenza vaccine effectiveness for two successive flu seasons
                <sup>
                    <xref ref-type="bibr" rid="ref-5">5</xref>,
                    <xref ref-type="bibr" rid="ref-6">6</xref>
                </sup>. Here, this approach was used for the assessment of the effectiveness of the COVID-19 vaccine. This analysis showed that mutation D614G, which spreads globally, and which is present in &gt;50% of all circulating viruses, could significantly decrease the effectiveness of the COVID-19 vaccine.</p>
        </sec>
        <sec sec-type="methods">
            <title>Methods</title>
            <sec>
                <title>Viruses</title>
                <p>We analyzed the subunit 1 of S protein (SP1) from SARS-CoV-2 with following mutations
                    <sup>
                        <xref ref-type="bibr" rid="ref-7">7</xref>,
                        <xref ref-type="bibr" rid="ref-8">8</xref>
                    </sup>:</p>
                <p>V367F, G219K, M153T, Q409E, R408I, A435S, N354D, D364Y, H655I, V615I, Q239K, Y28N, T29I, H49Y, L54F, N74K, D111N, F157L, G181V, S221W, S247R, A348T, G476S, V483A, H519Q, A520S, D614G.</p>
                <p>The SARS-CoV-2 S protein reference sequence (GenPept accession 
                    <ext-link ext-link-type="uri" xlink:href="https://www.ncbi.nlm.nih.gov/protein/1796318598">YP_009724390</ext-link>) is used in the analysis as the wild type (WT).</p>
            </sec>
            <sec>
                <title>The informational spectrum method</title>
                <p>The informational spectrum method (ISM), a virtual spectroscopy method, is developed for a fast and simple structure analysis of proteins and their functionally important domains. Physical and mathematical basis of ISM is described in detail elsewhere
                    <sup>
                        <xref ref-type="bibr" rid="ref-9">9</xref>
                    </sup> and here the method will be presented only briefly.</p>
                <p>A sequence of N amino acid residues is represented as a linear array of N terms, with each term given a weight. The weight assigned to a residue is the electron-ion interaction potential (EIIP)
                    <sup>
                        <xref ref-type="bibr" rid="ref-10">10</xref>,
                        <xref ref-type="bibr" rid="ref-11">11</xref>
                    </sup>, determining the electronic properties of amino acids, which are responsible for their intermolecular interactions
                    <sup>
                        <xref ref-type="bibr" rid="ref-12">12</xref>
                    </sup>. In this way, the alphabetic code is transformed into a sequence of numbers. The signal obtained is then decomposed in periodical function by Fourier transformation. Thus, the initial information defined by the sequence of amino acids can now be presented in the form of an informational spectrum (IS), representing the series of frequencies and corresponding amplitudes. The IS frequencies correspond to the distribution of structural motifs with defined physicochemical characteristics determining long-range interaction properties of the protein.</p>
            </sec>
            <sec>
                <title>Phylogenetic analysis</title>
                <p>Phylogenetic analysis of SARS-CoV-2 SP1 was performed with the ISM-based phylogenetic algorithm ISTREE, which was previously described in detail
                    <sup>
                        <xref ref-type="bibr" rid="ref-13">13</xref>
                    </sup>. This phylogenetic approach that allows the assessment of the biological effect of mutations was previously applied in the analysis of influenza viruses
                    <sup>
                        <xref ref-type="bibr" rid="ref-13">13</xref>&#x2013;
                        <xref ref-type="bibr" rid="ref-16">16</xref>
                    </sup>, Ebola virus
                    <sup>
                        <xref ref-type="bibr" rid="ref-17">17</xref>
                    </sup> and Zika virus
                    <sup>
                        <xref ref-type="bibr" rid="ref-18">18</xref>,
                        <xref ref-type="bibr" rid="ref-19">19</xref>
                    </sup>. 
                    <xref ref-type="fig" rid="f1">Figure 1</xref> gives the schematic presentation of this algorithm. Here, we used an ISM distance measure 
                    <italic toggle="yes">d</italic> defined on the specific frequency 
                    <italic toggle="yes">F</italic> = 0.257 which characterizes the interaction between SP1 and the ACE2 receptor
                    <sup>
                        <xref ref-type="bibr" rid="ref-20">20</xref>
                    </sup>.</p>
                <fig fig-type="figure" id="f1" orientation="portrait" position="float">
                    <label>Figure 1. </label>
                    <caption>
                        <title>The schematic representation of the ISM-based phylogenetic algorithm ISTREE.</title>
                    </caption>
                    <graphic orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/26334/a43f2b64-9a56-44d5-99dd-2ab8fdb1059f_figure1.gif"/>
                </fig>
                <p>For the development of the conventional phylogenetic tree, based on multiple sequence alignment (MSA), we used the 
                    <ext-link ext-link-type="uri" xlink:href="https://www.megasoftware.net/">MEGA5</ext-link>
                    <sup>
                        <xref ref-type="bibr" rid="ref-21">21</xref>
                    </sup> software package. For the MSA calculation of sequences, the MUSCLE algorithm of MEGA5 software was applied.</p>
            </sec>
        </sec>
        <sec sec-type="results | discussion">
            <title>Results and discussion</title>
            <p>In 
                <xref ref-type="fig" rid="f2">Figure 2a</xref>, we show the ISM-based phylogenetic tree for mutant SP1 from SARS-CoV-2. These SP1 are grouped in two separate clusters, A and B, that, according to the informational spectrum (IS) concept, have different interacting and immunological profiles
                <sup>
                    <xref ref-type="bibr" rid="ref-13">13</xref>&#x2013;
                    <xref ref-type="bibr" rid="ref-17">17</xref>
                </sup>. There is no difference between the analyzed SP1 in the homology-based phylogenic tree (
                <xref ref-type="fig" rid="f2">Figure 2b</xref>). Presented results suggest that most of the analyzed mutants (cluster A) will interact with ACE2 in a similar way as the WT virus. Only five mutations V367F, R408I, G476S, D111N, and D614G (cluster B) could significantly affect the interaction of SP1 with ACE2. Three of these mutations (V367F, R408I, G476S) are located in the RBD of SP.</p>
            <fig fig-type="figure" id="f2" orientation="portrait" position="float">
                <label>Figure 2. </label>
                <caption>
                    <title>ISM-based and MSA-based phylogenetic analyses of SARS-CoV-2 SP1.</title>
                    <p>(
                        <bold>a</bold>) The phylogenetic tree constructed using the ISM-based method. (
                        <bold>b</bold>) The phylogenetic tree constructed by the homology-based method.</p>
                </caption>
                <graphic orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/26334/a43f2b64-9a56-44d5-99dd-2ab8fdb1059f_figure2.gif"/>
            </fig>
            <p>The previous ISM-based phylogenetic analysis of hemagglutinins from seasonal influenza viruses showed that viruses which are in the same cluster with the vaccine virus are responsive to the seasonal flu vaccine and those viruses which are grouped in the separate clusters are resistant to the vaccine. This finding served as a base for the accurate prediction of the efficacy of the flu vaccine several months before the start of the flu season
                <sup>
                    <xref ref-type="bibr" rid="ref-5">5</xref>,
                    <xref ref-type="bibr" rid="ref-6">6</xref>
                </sup>. The same approach was also used for the design of antigens for the vaccine against ZIKA virus
                <sup>
                    <xref ref-type="bibr" rid="ref-18">18</xref>,
                    <xref ref-type="bibr" rid="ref-19">19</xref>
                </sup>. By analogy, it could be expected that SARS-CoV-2 with mutations V367F, R407I, G476S, D111N and D614G in SP are resistant to the COVID-19 vaccines that are based on the WT SARS-CoV-2.</p>
            <p>The D614G mutation frequency is much higher than the others. This mutation was found in 55% of sequences sampled globally as of April 10, 2020
                <sup>
                    <xref ref-type="bibr" rid="ref-1">1</xref>
                </sup>. The next most frequent mutation is found in only 0.87% of these sequences. A virus carrying the D614G mutation, which had not then been observed among sequences from China, was transmitted in January 2020 to Germany and became dominant in Europe and then globally within two months (found in 55% of sequences)
                <sup>
                    <xref ref-type="bibr" rid="ref-1">1</xref>
                </sup>.</p>
            <p>The D614G mutation is located in the middle of one of three epitopes of SP1
                <sup>
                    <xref ref-type="bibr" rid="ref-22">22</xref>
                </sup>. This change of large acidic residue D into small hydrophobic residue G in the middle of the epitope would compromise the binding affinity to antibodies elicited by vaccines with WT SP.</p>
        </sec>
        <sec sec-type="conclusions">
            <title>Conclusions</title>
            <p>The present results suggest that the highly prevalent D614G mutation in SP, although located outside of the receptor binding site, could decrease the efficacy of the vaccine by modulation of the interaction of SARS-CoV with the ACE2 receptor. In addition, this mutation may cause antigenic drift, resulting in vaccine mismatches which additionally could affect the efficacy of the vaccine. These possible obstacles should be considered for the future development of COVID-19 vaccines. The further ISM-based monitoring of the evolution of SARS-CoV-2 is important for identification of other mutations, which could affect the effectiveness of vaccines against this virus.</p>
        </sec>
        <sec>
            <title>Data availability</title>
            <p>All data underlying the results are available as part of the article and no additional source data are required.</p>
        </sec>
    </body>
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    <sub-article article-type="reviewer-report" id="report68166">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.26334.r68166</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Koyama</surname>
                        <given-names>Takahiko</given-names>
                    </name>
                    <xref ref-type="aff" rid="r68166a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0003-1694-9061</uri>
                </contrib>
                <aff id="r68166a1">
                    <label>1</label>TJ Watson Research Center, New York, NY, USA</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>13</day>
                <month>8</month>
                <year>2020</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2020 Koyama T</copyright-statement>
                <copyright-year>2020</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport68166" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.23865.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve-with-reservations</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>The authors are trying to find out important residues of spike protein interacting with ACE2 using the ISM method. 
                <list list-type="bullet">
                    <list-item>
                        <p>The application of the methods have not been validated with wide range of proteins comparing with experimental data. Therefore, it is not easy to evaluate the effectiveness of the method. Experimental data is available in the following paper:</p>
                    </list-item>
                </list> Chan, K.K., et al., Engineering human ACE2 to optimize binding to the spike protein of SARS coronavirus 2. Science, 2020: p. eabc0870.
                <sup>
                    <xref ref-type="bibr" rid="rep-ref-68166-1">1</xref>
                </sup>
            </p>
            <p> </p>
            <p> I would like to see if how ISM in agreement with the data. 
                <list list-type="bullet">
                    <list-item>
                        <p>Secondly, the ISM method is attempting to identify the residue impacting interactions with ACE2. However, for vaccines, neutralizing antibodies attached to spike protein to inhibit interaction or other process.&#x00a0; Therefore, direct interaction with ACE2 does not necessarily mean key residue for vaccine. Rather, antibodies from B-cell must bind to the residues and the residues identified by the authors are not necessarily in the B-cell epitopes. Therefore, those residues are irrelevant to vaccines.</p>
                    </list-item>
                </list>
            </p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Partly</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Yes</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Yes</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Partly</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Partly</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Yes</p>
            <p>Reviewer Expertise:</p>
            <p>genomics, oncology, immunology, stem cell, virology, bioinformatics</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above.</p>
        </body>
        <back>
            <ref-list>
                <title>References</title>
                <ref id="rep-ref-68166-1">
                    <label>1</label>
                    <mixed-citation publication-type="journal">
                        <person-group person-group-type="author"/>:
                        <article-title>Engineering human ACE2 to optimize binding to the spike protein of SARS coronavirus 2.</article-title>
                        <source>
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                        </source>.<year>2020</year>;
                        <elocation-id>10.1126/science.abc0870</elocation-id>
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                    </mixed-citation>
                </ref>
            </ref-list>
        </back>
        <sub-article article-type="response" id="comment5816-68166">
            <front-stub>
                <contrib-group>
                    <contrib contrib-type="author">
                        <name>
                            <surname>Veljkovic</surname>
                            <given-names>Veljko</given-names>
                        </name>
                        <aff>Biomed Protection, USA</aff>
                    </contrib>
                </contrib-group>
                <author-notes>
                    <fn fn-type="conflict">
                        <p>
                            <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                    </fn>
                </author-notes>
                <pub-date pub-type="epub">
                    <day>14</day>
                    <month>8</month>
                    <year>2020</year>
                </pub-date>
            </front-stub>
            <body>
                <p>The Reviewer&#x2019;s remark:</p>
                <p> &#x201c;The application of the methods have not been validated with wide range of proteins comparing with experimental data. Therefore, it is not easy to evaluate the effectiveness of the method.&#x201d;</p>
                <p> Response</p>
                <p> Reviewer can find several articles in PubMed where ISM prediction is experimentally demonstrated (e.g.&#x00a0;doi:&#x00a0;10.1038/s41598-018-20185-8. doi:&#x00a0;10.1038/srep11434). Based on previous work we believe the ISM does not need any additional proof and can be used to estimate efficacy as it is. Moreover, the Reviewer overlooked that the ISM analysis concerns the long-range interactions between molecules (interactions at distances between 5 and 1000 A) and not their chemical binding (the interactions at distances &lt;5A). The ACE2 example suggested by the Reviewer is not suitable for the ISM analysis because it concerns the improvement of the chemical binding of SP to this receptor.</p>
                <p> The Reviewer&#x2019;s remark:</p>
                <p> &#x201c;Secondly, the ISM method is attempting to identify the residue impacting interactions with ACE2. However, for vaccines, neutralizing antibodies attached to spike protein to inhibit interaction or other process.&#x00a0; Therefore, direct interaction with ACE2 does not necessarily mean key residue for vaccine. Rather, antibodies from B-cell must bind to the residues and the residues identified by the authors are not necessarily in the B-cell epitopes. Therefore, those residues are irrelevant to vaccines&#x201d;</p>
                <p> Response</p>
                <p> Presented ISM results indicate that the mutation D614G modulate the recognition and targeting between antibodies and SP antigen and not their &#x201c;direct interaction&#x201d; (chemical binding). If the mutation prevents the efficient recognition between antigen and an antibody, the neutralization will not be efficient even if the antibody would efficiently bind to the antigen.&#x00a0;In other words, the antibody will not efficiently &#x201c;find&#x201d; its target in vivo.</p>
            </body>
        </sub-article>
    </sub-article>
    <sub-article article-type="reviewer-report" id="report64327">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.26334.r64327</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Pongor</surname>
                        <given-names>S&#x00e1;ndor</given-names>
                    </name>
                    <xref ref-type="aff" rid="r64327a1">1</xref>
                    <role>Referee</role>
                </contrib>
                <aff id="r64327a1">
                    <label>1</label>Faculty of Information Technology and Bionics, P&#x00e1;zm&#x00e1;ny P&#x00e9;ter Catholic University, Budapest, Hungary</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>15</day>
                <month>6</month>
                <year>2020</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2020 Pongor S</copyright-statement>
                <copyright-year>2020</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport64327" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.23865.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>
                <list list-type="bullet">
                    <list-item>
                        <p>This work highlights an interesting aspect of the COVID spike protein that may be useful for vaccine developers.</p>
                    </list-item>
                    <list-item>
                        <p>Sequences of spike protein mutants are compared with the information spectrum method developed by the authors and it is found that the clustering of spike protein mutants allows one to draw conclusions on the expected effectiveness of the vaccines.</p>
                    </list-item>
                </list>
            </p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Yes</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Not applicable</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Yes</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Yes</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Yes</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Yes</p>
            <p>Reviewer Expertise:</p>
            <p>bioinformatics</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard.</p>
        </body>
    </sub-article>
</article>
