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	<title>photocurrent properties &#8211; BIOENGINEER.ORG</title>
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	<title>photocurrent properties &#8211; BIOENGINEER.ORG</title>
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		<title>AlphaFold Structures Turn Light-Sensitive Protein Variants Into Predictable Molecular Maps</title>
		<link>https://bioengineer.org/alphafold-structures-turn-light-sensitive-protein-variants-into-predictable-molecular-maps/</link>
		
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		<pubDate>Mon, 05 Oct 2026 16:57:54 +0000</pubDate>
				<category><![CDATA[Biology]]></category>
		<category><![CDATA[AlphaFold2]]></category>
		<category><![CDATA[BMC Bioinformatics]]></category>
		<category><![CDATA[channelrhodopsin]]></category>
		<category><![CDATA[Gaussian Process Regression]]></category>
		<category><![CDATA[interpretable machine learning]]></category>
		<category><![CDATA[molecular fields]]></category>
		<category><![CDATA[optogenetics]]></category>
		<category><![CDATA[partial least squares]]></category>
		<category><![CDATA[photocurrent properties]]></category>
		<category><![CDATA[Protein Engineering]]></category>
		<category><![CDATA[structural bioinformatics]]></category>
		<category><![CDATA[variant modeling]]></category>
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					<description><![CDATA[Researchers have developed Foldinsight, a framework that uses AlphaFold2-predicted structures and molecular field descriptors to model and spatially interpret the photocurrent properties of channelrhodopsin variants.]]></description>
		
		
		
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