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	<title>Deep learning in antibiotic discovery &#8211; BIOENGINEER.ORG</title>
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		<title>Deep Learning Accelerates Discovery of New Antibiotics</title>
		<link>https://bioengineer.org/deep-learning-accelerates-discovery-of-new-antibiotics/</link>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Fri, 24 Oct 2025 10:28:36 +0000</pubDate>
				<category><![CDATA[Health]]></category>
		<category><![CDATA[accelerating drug discovery processes]]></category>
		<category><![CDATA[Artificial intelligence in drug development]]></category>
		<category><![CDATA[Deep learning in antibiotic discovery]]></category>
		<category><![CDATA[novel antibiotic scaffolds identification]]></category>
		<category><![CDATA[overcoming antibiotic resistance]]></category>
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					<description><![CDATA[In the relentless struggle against antibiotic resistance, scientists often face the daunting challenge of discovering new antimicrobial compounds that can outpace evolving pathogens. A groundbreaking study published in Nature Biotechnology this year promises to revolutionize this search by harnessing the power of deep learning, dramatically accelerating how novel antibiotic scaffolds are identified. The work led [&#8230;]]]></description>
		
		
		
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		<title>Deep Learning Uncovers Antibiotics in Archaeal Proteome</title>
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		<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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