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		<title>Lightweight AI Tool Outsmarts Deep Learning at Spotting Disordered Proteins</title>
		<link>https://bioengineer.org/lightweight-ai-tool-outsmarts-deep-learning-at-spotting-disordered-proteins/</link>
		
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		<pubDate>Wed, 14 Oct 2026 08:38:09 +0000</pubDate>
				<category><![CDATA[Cancer]]></category>
		<category><![CDATA[cancer]]></category>
		<category><![CDATA[computational biology]]></category>
		<category><![CDATA[Current Computer Science]]></category>
		<category><![CDATA[IDP-T5CKNN]]></category>
		<category><![CDATA[IIIT Allahabad]]></category>
		<category><![CDATA[Intrinsically Disordered Proteins]]></category>
		<category><![CDATA[K-Nearest Neighbour]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[neurodegenerative disease]]></category>
		<category><![CDATA[protein language model]]></category>
		<category><![CDATA[Protein structure prediction]]></category>
		<category><![CDATA[ProtT5]]></category>
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					<description><![CDATA[A researcher at IIIT Allahabad has developed IDP-T5CKNN, a lightweight protein language model method that outperforms more than 20 existing tools at predicting intrinsically disordered protein regions linked to cancer and neurodegeneration without requiring GPU hardware.]]></description>
		
		
		
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