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	<title>artificial intelligence in drug discovery &#8211; BIOENGINEER.ORG</title>
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		<title>Deep Learning Uncovers Antibiotics in Archaeal Proteome</title>
		<link>https://bioengineer.org/deep-learning-uncovers-antibiotics-in-archaeal-proteome/</link>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Tue, 12 Aug 2025 11:35:53 +0000</pubDate>
				<category><![CDATA[Biology]]></category>
		<category><![CDATA[AI-driven antimicrobial development]]></category>
		<category><![CDATA[antibiotic discovery from archaea]]></category>
		<category><![CDATA[Antibiotic resistance solutions]]></category>
		<category><![CDATA[archaeal proteome analysis]]></category>
		<category><![CDATA[Archaeal proteome research]]></category>
		<category><![CDATA[artificial intelligence in drug discovery]]></category>
		<category><![CDATA[combating antibiotic resistance]]></category>
		<category><![CDATA[Deep learning in antibiotic discovery]]></category>
		<category><![CDATA[deep learning in microbiology]]></category>
		<category><![CDATA[Microbial dark matter exploration]]></category>
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					<description><![CDATA[In a groundbreaking integration of artificial intelligence and microbiology, researchers have unveiled a hidden trove of antibiotic compounds within the proteomes of archaea, a domain of life often neglected in drug discovery. This revelation emerges from a recent study that harnessed the power of deep learning algorithms to analyze the vast and largely uncharted proteomic [&#8230;]]]></description>
		
		
		
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