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DrugProtAI: A machine learning–driven approach for predicting protein druggability through feature engineering and robust partition-based ensemble methods.

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Title: DrugProtAI: A machine learning–driven approach for predicting protein druggability through feature engineering and robust partition-based ensemble methods.
Authors: Halder, Ankit1 (AUTHOR), Samantaray, Sabyasachi2 (AUTHOR), Barbade, Sahil3 (AUTHOR), Gupta, Aditya4 (AUTHOR), Srivastava, Sanjeeva1 (AUTHOR)
Source: Briefings in Bioinformatics. Jul2025, Vol. 26 Issue 4, p1-11. 11p.
Database: Academic Search Ultimate
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  Data: DrugProtAI: A machine learning–driven approach for predicting protein druggability through feature engineering and robust partition-based ensemble methods.
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  Data: <searchLink fieldCode="JN" term="%22Briefings+in+Bioinformatics%22">Briefings in Bioinformatics</searchLink>. Jul2025, Vol. 26 Issue 4, p1-11. 11p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=187957644
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        Value: 10.1093/bib/bbaf330
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      – Code: eng
        Text: English
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        PageCount: 11
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            NameFull: Halder, Ankit
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            NameFull: Samantaray, Sabyasachi
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            NameFull: Barbade, Sahil
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              M: 07
              Text: Jul2025
              Type: published
              Y: 2025
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              Value: 26
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