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	<title>2022Chojnowski findMySeq - Revision history</title>
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	<updated>2026-05-24T21:11:34Z</updated>
	<subtitle>Revision history for this page on the wiki</subtitle>
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	<entry>
		<id>https://3demmethods.i2pc.es/index.php?title=2022Chojnowski_findMySeq&amp;diff=4151&amp;oldid=prev</id>
		<title>WikiSysop: Created page with &quot;== Citation ==  Chojnowski, G.; Simpkin, A. J.; Leonardo, D. A.; Seifert-Davila, W.; Vivas-Ruiz, D. E.; Keegan, R. &amp;amp; Rigden, D. findMySequence: a neural-network-based appr...&quot;</title>
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		<updated>2021-12-30T18:42:56Z</updated>

		<summary type="html">&lt;p&gt;Created page with &amp;quot;== Citation ==  Chojnowski, G.; Simpkin, A. J.; Leonardo, D. A.; Seifert-Davila, W.; Vivas-Ruiz, D. E.; Keegan, R. &amp;amp; Rigden, D. findMySequence: a neural-network-based appr...&amp;quot;&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;== Citation ==&lt;br /&gt;
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Chojnowski, G.; Simpkin, A. J.; Leonardo, D. A.; Seifert-Davila, W.; Vivas-Ruiz, D. E.; Keegan, R. &amp;amp;amp; Rigden, D. findMySequence: a neural-network-based approach for identification of unknown proteins in X-ray crystallography and cryo-EM. IUCrJ, 2022, 9, 86-97 &lt;br /&gt;
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== Abstract ==&lt;br /&gt;
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Although experimental protein-structure determination usually targets known proteins, chains of unknown sequence are often encountered. They can be purified from natural sources, appear as an unexpected fragment of a well characterized protein or appear as a contaminant. Regardless of the source of the problem, the unknown protein always requires characterization. Here, an automated pipeline is presented for the identification of protein sequences from cryo-EM reconstructions and crystallographic data. The method&amp;#039;s application to characterize the crystal structure of an unknown protein purified from a snake venom is presented. It is also shown that the approach can be successfully applied to the identification of protein sequences and validation of sequence assignments in cryo-EM protein structures. &lt;br /&gt;
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== Keywords ==&lt;br /&gt;
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== Links ==&lt;br /&gt;
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https://journals.iucr.org/m/issues/2022/01/00/pw5018/index.html&lt;br /&gt;
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== Related software ==&lt;br /&gt;
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== Related methods ==&lt;br /&gt;
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== Comments ==&lt;/div&gt;</summary>
		<author><name>WikiSysop</name></author>
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