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		<title>AI Model Decodes Which Molecules Transporters Carry Across Cell Membranes</title>
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		<pubDate>Thu, 15 Oct 2026 09:42:50 +0000</pubDate>
				<category><![CDATA[Biology]]></category>
		<category><![CDATA[de-orphanization]]></category>
		<category><![CDATA[functional annotation]]></category>
		<category><![CDATA[Genome Biology]]></category>
		<category><![CDATA[geometric deep learning]]></category>
		<category><![CDATA[graph learning]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[membrane transporters]]></category>
		<category><![CDATA[protein language models]]></category>
		<category><![CDATA[protein-substrate interactions]]></category>
		<category><![CDATA[solute carriers]]></category>
		<category><![CDATA[substrate specificity]]></category>
		<category><![CDATA[TraSPIN]]></category>
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					<description><![CDATA[A new geometric deep learning framework called TraSPIN uses protein language models and graph learning to predict which small molecules membrane transporters carry, outperforming existing methods and enabling de-orphanization of uncharacterized solute carriers.]]></description>
		
		
		
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