Can protein expression be ‘solved’?

Baranowski, Catherine (avtor), Garcia Martin, Hector (avtor), Oyarzún, Diego A. (avtor), Spinner, Aviv (avtor), Desai, Bijoy (avtor), Petzold, Christopher J. (avtor), Nikolados, Evangelos-Marios (avtor), Jaaks-Kraatz, Sebastian (avtor), Gaber, Aljaž (avtor), Chalkley, Robert J. (avtor), Scannell, Devin (avtor), Sevey, Rachel (avtor), Jewett, Michael C. (avtor), Kelly, Peter J. (avtor), DeBenedictis, Erika A. (avtor)

Heterologous protein expression is a fundamental technique used frequently in modern day biology. It enables scientific exploration of protein function as well as development of lifesaving medicines and economically impactful industrial products. Protein expression experiments primarily remain an experience-guided trial and error situation, even though it is an approach used by nearly all biologists. Generating an openly available, large-scale protein expression dataset that spans organisms and uses a standard experimental approach would provide the machine learning community with a foundation for building a multispecies predictive model of expression. A predictive model of protein expression would have a profound commercial impact and could replace countless hours of experimentation with a higher-probability directed approach.

• Jezik: Angleški jezik
• Ključne besede: protein expression, machine learning, predictive models, open datasets
• Vrsta gradiva: Članek v reviji
• Tipologija: 1.02 - Pregledni znanstveni članek
• Organizacija: FKKT - Fakulteta za kemijo in kemijsko tehnologijo
• Status publikacije: Objavljeno
• Različica publikacije: Objavljena publikacija
• Leto izida: 2025
• Št. strani: 19 str.
• Številčenje: Vol. , iss.
• PID: 20.500.12556/RUL-169760
• UDK: 577.112:004.85
• ISSN pri članku: 0167-7799
• DOI: 10.1016/j.tibtech.2025.04.021
• COBISS.SI-ID: 238521091
• Datum objave v RUL: 09.06.2025

Gradivo je del revije

• Naslov: Trends in biotechnology
• Skrajšan naslov: Trends biotechnol.
• Založnik: Elsevier
• ISSN: 0167-7799
• COBISS.SI-ID: 27429888

Licence

• Licenca: CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
• Povezava: http://creativecommons.org/licenses/by/4.0/deed.sl
• Opis: To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.

Sekundarni jezik

• Jezik: Slovenski jezik
• Ključne besede: izražanje proteinov, strojno učenje, napovedni modeli, odprte baze podatkov