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	<title>biological validation &#8211; BIOENGINEER.ORG</title>
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		<title>AI Can Predict Protein Structures Brilliantly, But a New Review Asks Whether Biology Can Trust It</title>
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		<pubDate>Mon, 12 Oct 2026 06:36:31 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[AlphaFold]]></category>
		<category><![CDATA[benchmarking]]></category>
		<category><![CDATA[biological validation]]></category>
		<category><![CDATA[computational biology]]></category>
		<category><![CDATA[drug discovery]]></category>
		<category><![CDATA[interpretability]]></category>
		<category><![CDATA[multimodal learning]]></category>
		<category><![CDATA[protein language models]]></category>
		<category><![CDATA[Protein structure prediction]]></category>
		<category><![CDATA[systematic review]]></category>
		<category><![CDATA[taxonomy]]></category>
		<category><![CDATA[transformers]]></category>
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					<description><![CDATA[A systematic review of 38 studies finds that protein language models excel on benchmarks but largely lack experimental validation, prompting a new six-dimensional Biological-Readiness Taxonomy for assessing their real-world reliability.]]></description>
		
		
		
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