Matches in SemOpenAlex for { <https://semopenalex.org/work/W2792698875> ?p ?o ?g. }
- W2792698875 abstract "Abstract Molecular evolution based on mutagenesis is widely used in protein engineering. However, optimal proteins are often difficult to obtain due to a large sequence space that requires high costs for screening experiments. Here, we propose a novel approach that combines molecular evolution with machine learning. In this approach, we conduct two rounds of mutagenesis where an initial library of protein variants is used to train a machine-learning model to guide mutagenesis for the second-round library. This enables to prepare a small library suited for screening experiments with high enrichment of functional proteins. We demonstrated a proof-of-concept of our approach by altering the reference green fluorescent protein (GFP) so that its fluorescence is changed to yellow while improving its fluorescence intensity. Using 155 and 78 variants for the initial and the second-round libraries, respectively, we successfully obtained a number of proteins showing yellow fluorescence, 12 of which had better fluorescence performance than the reference yellow fluorescent protein (YFP). These results show the potential of our approach as a powerful platform for accelerated discovery of functional proteins." @default.
- W2792698875 created "2018-03-29" @default.
- W2792698875 creator A5011631068 @default.
- W2792698875 creator A5044279513 @default.
- W2792698875 creator A5063672650 @default.
- W2792698875 creator A5068781825 @default.
- W2792698875 creator A5070597006 @default.
- W2792698875 creator A5071886692 @default.
- W2792698875 creator A5076300103 @default.
- W2792698875 date "2018-03-16" @default.
- W2792698875 modified "2023-10-18" @default.
- W2792698875 title "A machine-learning-guided mutagenesis platform for accelerated discovery of novel functional proteins" @default.
- W2792698875 cites W1626513324 @default.
- W2792698875 cites W1971769921 @default.
- W2792698875 cites W1980711581 @default.
- W2792698875 cites W1982611392 @default.
- W2792698875 cites W1999334142 @default.
- W2792698875 cites W2000671825 @default.
- W2792698875 cites W2006685379 @default.
- W2792698875 cites W2014781338 @default.
- W2792698875 cites W2024213882 @default.
- W2792698875 cites W2024526152 @default.
- W2792698875 cites W2032479422 @default.
- W2792698875 cites W2039210066 @default.
- W2792698875 cites W2051627306 @default.
- W2792698875 cites W2068696224 @default.
- W2792698875 cites W2076455712 @default.
- W2792698875 cites W2078047353 @default.
- W2792698875 cites W2082243980 @default.
- W2792698875 cites W2086565769 @default.
- W2792698875 cites W2087823077 @default.
- W2792698875 cites W2088316376 @default.
- W2792698875 cites W2095719211 @default.
- W2792698875 cites W2114346581 @default.
- W2792698875 cites W2127068865 @default.
- W2792698875 cites W2130652548 @default.
- W2792698875 cites W2142943863 @default.
- W2792698875 cites W2148612893 @default.
- W2792698875 cites W2151601961 @default.
- W2792698875 cites W2163485500 @default.
- W2792698875 cites W2167353442 @default.
- W2792698875 cites W2192203593 @default.
- W2792698875 cites W2193515472 @default.
- W2792698875 cites W2256527918 @default.
- W2792698875 cites W2461312660 @default.
- W2792698875 cites W2476819346 @default.
- W2792698875 cites W2521414930 @default.
- W2792698875 cites W2788762081 @default.
- W2792698875 cites W4234323529 @default.
- W2792698875 doi "https://doi.org/10.1101/282996" @default.
- W2792698875 hasPublicationYear "2018" @default.
- W2792698875 type Work @default.
- W2792698875 sameAs 2792698875 @default.
- W2792698875 citedByCount "0" @default.
- W2792698875 crossrefType "posted-content" @default.
- W2792698875 hasAuthorship W2792698875A5011631068 @default.
- W2792698875 hasAuthorship W2792698875A5044279513 @default.
- W2792698875 hasAuthorship W2792698875A5063672650 @default.
- W2792698875 hasAuthorship W2792698875A5068781825 @default.
- W2792698875 hasAuthorship W2792698875A5070597006 @default.
- W2792698875 hasAuthorship W2792698875A5071886692 @default.
- W2792698875 hasAuthorship W2792698875A5076300103 @default.
- W2792698875 hasBestOaLocation W27926988751 @default.
- W2792698875 hasConcept C104317684 @default.
- W2792698875 hasConcept C121332964 @default.
- W2792698875 hasConcept C12554922 @default.
- W2792698875 hasConcept C132954091 @default.
- W2792698875 hasConcept C142613039 @default.
- W2792698875 hasConcept C143065580 @default.
- W2792698875 hasConcept C147816474 @default.
- W2792698875 hasConcept C154945302 @default.
- W2792698875 hasConcept C16318435 @default.
- W2792698875 hasConcept C181199279 @default.
- W2792698875 hasConcept C185592680 @default.
- W2792698875 hasConcept C202444582 @default.
- W2792698875 hasConcept C3019336641 @default.
- W2792698875 hasConcept C30711495 @default.
- W2792698875 hasConcept C33923547 @default.
- W2792698875 hasConcept C41008148 @default.
- W2792698875 hasConcept C501734568 @default.
- W2792698875 hasConcept C55493867 @default.
- W2792698875 hasConcept C62520636 @default.
- W2792698875 hasConcept C70721500 @default.
- W2792698875 hasConcept C86803240 @default.
- W2792698875 hasConcept C91881484 @default.
- W2792698875 hasConcept C9418097 @default.
- W2792698875 hasConceptScore W2792698875C104317684 @default.
- W2792698875 hasConceptScore W2792698875C121332964 @default.
- W2792698875 hasConceptScore W2792698875C12554922 @default.
- W2792698875 hasConceptScore W2792698875C132954091 @default.
- W2792698875 hasConceptScore W2792698875C142613039 @default.
- W2792698875 hasConceptScore W2792698875C143065580 @default.
- W2792698875 hasConceptScore W2792698875C147816474 @default.
- W2792698875 hasConceptScore W2792698875C154945302 @default.
- W2792698875 hasConceptScore W2792698875C16318435 @default.
- W2792698875 hasConceptScore W2792698875C181199279 @default.
- W2792698875 hasConceptScore W2792698875C185592680 @default.
- W2792698875 hasConceptScore W2792698875C202444582 @default.
- W2792698875 hasConceptScore W2792698875C3019336641 @default.
- W2792698875 hasConceptScore W2792698875C30711495 @default.