Iskalni niz:
išči po
išči po
išči po
išči po
Vrsta gradiva:
Jezik:
Št. zadetkov: 5
Toward learning the principles of plant gene regulation
Jan Zrimec, Aleksej Zelezniak, Kristina Gruden
Kratki znanstveni prispevek
Oznake: napovedovanje izrazanja genov;bioinformatika;globoko ucenje;regulatorna genomika;gene expression prediction;bioinformatics;deep learning;regulatory genomics;
Advanced machine learning (ML) algorithms produce highly accurate models of gene expression, uncovering novel regulatory features in nucleotide sequences involving multiple cis-regulatory regions across whole genes and structural properties. These broaden our understanding of gene regulation and poi ...
Leto: 2022 Vir: Nacionalni inštitut za biologijo (NIB)
Plastic-degrading potential across the global microbiome correlates with recent pollution trends
Jan Zrimec, Mariia Kokina, Sara Jonasson, Aleksej Zelezniak, Francisco Zorrilla
Izvirni znanstveni članek
Oznake: bioinformatika;okoljska mikrobiologija;mikrobna ekologija;onesnaženje s plastiko;
Biodegradation is a plausible route toward sustainable management of the millions of tons of plastic waste that have accumulated in terrestrial and marine environments. However, the global diversity of plastic-degrading enzymes remains poorly understood. Taking advantage of global environmental DNA ...
Leto: 2021 Vir: Nacionalni inštitut za biologijo (NIB)
Data mining of Saccharomyces cerevisiae mutants engineered for increased tolerance towards inhibitors in lignocellulosic hydrolysates
Elena Cámara, Lisbeth Olsson, Jan Zrimec, Aleksej Zelezniak, Cecilia Geijer, Yvonne Nygård
Pregledni znanstveni članek
Oznake: lignocelulozna hidroliza;kvasovke;podatkovno rudarjenje;bioinformatika;
The use of renewable plant biomass, lignocellulose, to produce biofuels and biochemicals using microbial cell factories plays a fundamental role in the future bioeconomy. The development of cell factories capable of efficiently fermenting complex biomass streams will improve the cost-effectiveness o ...
Leto: 2022 Vir: Nacionalni inštitut za biologijo (NIB)
Learning deep representations of enzyme thermal adaptation
Gang Li, Filip Buric, Jan Zrimec, Sandra Viknander, Jens Nielsen, Aleksej Zelezniak, Martin K. M. Engqvist
Izvirni znanstveni članek
Oznake: bioinformatika;optimalna temperatura rasti;termostabilnost proteinov;globoko ucenje;bioinformatics;deep neural networks;enzyme catalytic temperatures;optimal growth temperatures;protein thermostability;transfer learning;
Temperature is a fundamental environmental factor that shapes the evolution of organisms. Learning thermal determinants of protein sequences in evolution thus has profound significance for basic biology, drug discovery, and protein engineering. Here, we use a data set of over 3 million BRENDA enzyme ...
Leto: 2022 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: 5
Ključne besede:
Leto izdaje:
Avtorji:
Repozitorij:
Tipologija:
Jezik: