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Computational Phosphosite-Specific Network Analysis of YES1 Y426 Reveals Cancer-Associated Phosphorylation Patterns.

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Title: Computational Phosphosite-Specific Network Analysis of YES1 Y426 Reveals Cancer-Associated Phosphorylation Patterns.
Authors: Khanum, Afreen1 (AUTHOR), Dcunha, Leona1 (AUTHOR), Subair, Suhail1 (AUTHOR), Gopalakrishnan, Athira Perunelly1 (AUTHOR), Palollathil, Akhina1 (AUTHOR), Raju, Rajesh1 (AUTHOR)
Source: Proteomes. Jun2026, Vol. 14 Issue 2, p17. 20p.
Database: Academic Search Ultimate
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An: 194913411
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  Data: Computational Phosphosite-Specific Network Analysis of YES1 Y426 Reveals Cancer-Associated Phosphorylation Patterns.
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  Data: <searchLink fieldCode="JN" term="%22Proteomes%22">Proteomes</searchLink>. Jun2026, Vol. 14 Issue 2, p17. 20p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=194913411
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        Value: 10.3390/proteomes14020017
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      – Code: eng
        Text: English
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        PageCount: 20
        StartPage: 17
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      – TitleFull: Computational Phosphosite-Specific Network Analysis of YES1 Y426 Reveals Cancer-Associated Phosphorylation Patterns.
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              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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