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            <date>2019-11-27</date>
            <code>REL</code>
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            <deposition>PDBe</deposition>
            <last_processing>PDBe</last_processing>
        </sites>
        <key_dates>
            <deposition>2018-05-22</deposition>
            <header_release>2018-06-27</header_release>
            <map_release>2018-06-27</map_release>
            <update>2019-11-27</update>
        </key_dates>
        <grant_support>
            <grant_reference>
                <funding_body>European Research Council</funding_body>
                <code>693023</code>
                <country>Germany</country>
            </grant_reference>
            <grant_reference>
                <funding_body>Volkswagen Foundation</funding_body>
                <country>Germany</country>
            </grant_reference>
            <grant_reference>
                <funding_body>German Research Foundation</funding_body>
                <code>SFB 860</code>
                <country>Germany</country>
            </grant_reference>
        </grant_support>
        <title>Influenza hemagglutinin (HA) trimer reconstruction at 3.2 Angstrom resolution using data from EMPIAR-10097 processed with Warp and cryoSPARC</title>
        <authors_list>
            <author>Tegunov D</author>
            <author>Cramer P</author>
        </authors_list>
    </admin>
    <crossreferences>
        <citation_list>
            <primary_citation>
                <journal_citation published="true">
                    <author order="1">Tegunov D</author>
                    <author order="2">Cramer P</author>
                    <title>Real-time cryo-electron microscopy data preprocessing with Warp.</title>
                    <journal_abbreviation>Nat.Methods</journal_abbreviation>
                    <country>US</country>
                    <volume>16</volume>
                    <first_page>1146</first_page>
                    <last_page>1152</last_page>
                    <year>2019</year>
                    <external_references type="PUBMED">31591575</external_references>
                    <external_references type="DOI">doi:10.1038/s41592-019-0580-y</external_references>
                    <external_references type="ISSN">1548-7105</external_references>
                </journal_citation>
            </primary_citation>
            <secondary_citation>
                <journal_citation published="true">
                    <author order="3">Tegunov D</author>
                    <author order="4">Cramer P</author>
                    <title>Real-time cryo-EM data pre-processing with Warp</title>
                    <journal_abbreviation>Biorxiv</journal_abbreviation>
                    <country>US</country>
                    <year>2018</year>
                    <external_references type="DOI">doi:10.1101/338558</external_references>
                </journal_citation>
            </secondary_citation>
        </citation_list>
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                <emdb_id>EMD-8731</emdb_id>
                <relationship>
                    <other>other EM volume</other>
                </relationship>
                <details>Original publication, based on the same raw data, but with different software and processing strategy</details>
            </emdb_reference>
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                <relationship>
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    </crossreferences>
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        <name>Influenza hemagglutinin (HA) Trimer A/Hong Kong/1/1968 H3N2</name>
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                <name>Influenza hemagglutinin (HA) Trimer A/Hong Kong/1/1968 H3N2</name>
                <parent>0</parent>
                <macromolecule_list>
                    <macromolecule>
                        <macromolecule_id>1</macromolecule_id>
                    </macromolecule>
                </macromolecule_list>
                <natural_source database="NCBI">
                    <organism ncbi="506350">Influenza A virus (A/Hong Kong/1/1968(H3N2))</organism>
                </natural_source>
                <recombinant_expression database="NCBI">
                    <recombinant_organism ncbi="9606">Homo sapiens</recombinant_organism>
                    <recombinant_strain>HEK293</recombinant_strain>
                </recombinant_expression>
                <molecular_weight>
                    <theoretical units="MDa">0.15</theoretical>
                </molecular_weight>
            </complex_supramolecule>
        </supramolecule_list>
        <macromolecule_list>
            <protein_or_peptide macromolecule_id="1">
                <name>Influenza hemagglutinin (HA) Trimer A/Hong Kong/1/1968 H3N2</name>
                <enantiomer>LEVO</enantiomer>
                <sequence>
                    <string>QDLPGNDNSTATLCLGHHAVPNGTLVKTITDDQIEVTNATELVQSSSTGKICNNPHRILDGIDCTLIDALLGDPHCDVFQNETWDLFVERSKAFSNCYPYDVPDYASLRSLVASSGTLEFITEGFTWTGVTQNGGSNACKRGPGSGFFSRLNWLTKSGSTYPVLNVTMPNNDNFDKLYIWGVHHPSTNQEQTSLYVQASGRVTVSTRRSQQTIIPNIGSRPWVRGLSSRISIYWTIVKPGDVLVINSNGNLIAPRGYFKMRTGKSSIMRSDAPIDTCISECITPNGSIPNDKPFQNVNKITYGACPKYVKQNTLKLATGMRNVPEKQTRGLFGAIAGFIENGWEGMIDGWYGFRHQNSEGTGQAADLKSTQAAIDQINGKLNRVIEKTNEKFHQIEKEFSEVEGRIQDLEKYVEDTKIDLWSYNAELLVALENQHTIDLTDSEMNKLFEKTRRQLRENAEDMGNGCFKIYHKCDNACIESIRNGTYDHDVYRDEALNNRFQIKGVELKSGYKD</string>
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                        <ph>7.4</ph>
                        <details>Same as EMD-8731</details>
                    </buffer>
                    <grid>
                        <model>C-flat-1.2/1.3 4C</model>
                        <material>GOLD</material>
                        <mesh>400</mesh>
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                            <film_topology>HOLEY</film_topology>
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                        <pretreatment>
                            <type>GLOW DISCHARGE</type>
                            <atmosphere>OTHER</atmosphere>
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                        <details>Same as EMD-8731</details>
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                    <vitrification>
                        <cryogen_name>ETHANE</cryogen_name>
                        <instrument>GATAN CRYOPLUNGE 3</instrument>
                        <details>Same as EMD-8731. </details>
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                    <details>Same as EMD-8731</details>
                </single_particle_preparation>
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                    <nominal_cs units="mm">2.7</nominal_cs>
                    <nominal_defocus_min units="µm">1.0</nominal_defocus_min>
                    <nominal_defocus_max units="µm">3.5</nominal_defocus_max>
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                                <dimensions>
                                    <width units="pixel">3710</width>
                                    <height units="pixel">3838</height>
                                </dimensions>
                                <sampling_interval units="µm">5.0</sampling_interval>
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                            <number_grids_imaged>2</number_grids_imaged>
                            <number_real_images>847</number_real_images>
                            <average_exposure_time units="s">20.0</average_exposure_time>
                            <average_electron_dose_per_image units="e/Å^2">82.0</average_electron_dose_per_image>
                            <details>Same as EMD-8731</details>
                        </image_recording>
                    </image_recording_list>
                </single_particle_microscopy>
            </microscopy_list>
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                <image_recording_id>1</image_recording_id>
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                    <number_selected>489215</number_selected>
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                <ctf_correction>
                    <software_list>
                        <software>
                            <name>Warp</name>
                            <processing_details>6x6x1 model resolution</processing_details>
                        </software>
                    </software_list>
                    <details>On-the-fly correction in cryoSPARC, based on local defocus values from Warp</details>
                </ctf_correction>
                <startup_model type_of_model="NONE">
                    <details>6 ab initio models created in cryoSPARC</details>
                </startup_model>
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                    <applied_symmetry>
                        <point_group>C3</point_group>
                    </applied_symmetry>
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                    <resolution_method>FSC 0.143 CUT-OFF</resolution_method>
                    <software_list>
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                    <number_images_used>249495</number_images_used>
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                        <software>
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                    </software_list>
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