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Št. zadetkov: 2
Amino acid sequence encodes protein abundance shaped by protein stability at reduced synthesis cost
Filip Buric, Sandra Viknander, Xiaozhi Fu, Oliver Lemke, Oriol Gracia Carmona, Jan Zrimec, Lukasz Szyrwiel, Michael Mülleder, Markus Ralser, Aleksej Zelezniak
Izvirni znanstveni članek
Oznake: molekularna biologija;biotehnologija;bioinformatika;globoko učenje;izražanje genov;sintetična biologija;obilje beljakovin;aminokislinsko zaporedje;evolucijska selekcija;molecular biology;biotechnology;bioinformatics;deep learning;gene expression;synthetic biology;protein abundance;amino acid sequence;evolutionary selection;transformer model;MGEM (Mutation guided by an embedded manifold);
Understanding what drives protein abundance is essential to biology, medicine, and biotechnology. Driven by evolutionary selection, an amino acid sequence is tailored to meet the required abundance of a proteome, underscoring the intricate relationship between sequence and functional demand. Yet, th ...
Leto: 2025 Vir: Nacionalni inštitut za biologijo (NIB)
Controlling gene expression with deep generative design of regulatory DNA
Jan Zrimec, Xiaozhi Fu, Azam Sheikh Muhammad, Christos Skrekas, Vykintas Jauniskis, Nora K. Speicher, Christoph S. Börlin, Vilhelm Verendel, Morteza Haghir Chehreghani, Devdatt P. Dubhashi, Verena Siewers, Florian David Fitz, Jens Nielsen, Aleksej Zelezniak
Izvirni znanstveni članek
Oznake: biokemija;izražanje genov;bioinformatika;globoko učenje;sintetična biologija;
Design of de novo synthetic regulatory DNA is a promising avenue to control gene expression in biotechnology and medicine. Using mutagenesis typically requires screening sizable random DNA libraries, which limits the designs to span merely a short section of the promoter and restricts their control ...
Leto: 2022 Vir: Nacionalni inštitut za biologijo (NIB)
Št. zadetkov: 2
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