Aleksej Zelezniak

Docent vid Systembiologi

Källa: chalmers.se
Image of Aleksej Zelezniak

Visar 34 publikationer

2024

Computational scoring and experimental evaluation of enzymes generated by neural networks

Sean R. Johnson, Xiaozhi Fu, Sandra Viknander et al
Nature Biotechnology. Vol. In Press
Artikel i vetenskaplig tidskrift
2024

Cellular location shapes quaternary structure of enzymes

György Abrusán, Aleksej Zelezniak
Nature Communications. Vol. 15 (1), p. 8505-
Artikel i vetenskaplig tidskrift
2023

Synthesis of Metal-Organic Frameworks through Enzymatically Recycled Polyethylene Terephthalate

Zhejian Cao, Xiaozhi Fu, Hao Li et al
ACS Sustainable Chemistry & Engineering. Vol. 11 (43), p. 15506-15512
Artikel i vetenskaplig tidskrift
2023

Cell-cell metabolite exchange creates a pro-survival metabolic environment that extends lifespan

Clara Correia-Melo, Stephan Kamrad, Roland Tengölics et al
Cell. Vol. 186 (1), p. 63-79.e21
Artikel i vetenskaplig tidskrift
2023

The Impact of Acute Nutritional Interventions on the Plasma Proteome

Vernardis, Vadim Demichev, Oliver Lemke et al
Journal of Clinical Endocrinology and Metabolism. Vol. 108 (8), p. 2087-2098
Artikel i vetenskaplig tidskrift
2023

Plastic Feast For Bugs

Aleksej Zelezniak
Chemistry and Industry. Vol. 87 (2), p. 26-29
Artikel i vetenskaplig tidskrift
2022

Enhanced metabolism and negative regulation of ER stress support higher erythropoietin production in HEK293 cells

Rasool Saghaleyni, Magdalena Malm, Noah Moruzzi et al
Cell Reports. Vol. 39 (11)
Artikel i vetenskaplig tidskrift
2022

A proteomic survival predictor for COVID-19 patients in intensive care

Vadim Demichev, Pinkus Tober-Lau, Tatiana Nazarenko et al
PLOS Digital Health. Vol. 1 (1 January)
Artikel i vetenskaplig tidskrift
2022

Toward learning the principles of plant gene regulation

Jan Zrimec, Aleksej Zelezniak, Kristina Gruden
Trends in Plant Science. Vol. 27 (12), p. 1206-1208
Övrig text i vetenskaplig tidskrift
2022

Data mining of Saccharomyces cerevisiae mutants engineered for increased tolerance towards inhibitors in lignocellulosic hydrolysates

Elena Cámara, Lisbeth Olsson, Jan Zrimec et al
Biotechnology Advances. Vol. 57
Reviewartikel
2022

Controlling gene expression with deep generative design of regulatory DNA

Jan Zrimec, Xiaozhi Fu, Muhammad Azam Sheikh et al
Nature Communications. Vol. 13 (1), p. 5099-
Artikel i vetenskaplig tidskrift
2022

Learning deep representations of enzyme thermal adaptation

Gang Li, Filip Buric, Jan Zrimec et al
Protein Science. Vol. 31 (12)
Artikel i vetenskaplig tidskrift
2022

From AI-driven synthetic biology to prediction of molecular phenotypes

Aleksej Zelezniak
Molecular and Cellular Proteomics. Vol. 21 (8), p. S22-S22
Övrigt konferensbidrag
2021

Performance of Regression Models as a Function of Experiment Noise

Gang Li, Jan Zrimec, Boyang Ji et al
Bioinformatics and Biology Insights. Vol. 15
Artikel i vetenskaplig tidskrift
2021

Ultra-fast proteomics with Scanning SWATH

Christoph B. Messner, Vadim Demichev, Nic Bloomfield et al
Nature Biotechnology. Vol. 39 (7), p. 846-854
Artikel i vetenskaplig tidskrift
2021

Potential for improved retention rate by personalized antiseizure medication selection: A register-based analysis

Samuel Håkansson, Markus Karlander, David Larsson et al
Epilepsia. Vol. 62 (9), p. 2123-2132
Artikel i vetenskaplig tidskrift
2021

Learning the Regulatory Code of Gene Expression

Jan Zrimec, Filip Buric, Mariia Kokina et al
Frontiers in Molecular Biosciences. Vol. 8
Reviewartikel
2021

Optimizing epilepsy treatment: big data from population-wide registers suggest room for improvement in drug selection

Samuel Hakansson, Markus Karlander, David Larsson et al
Epilepsia. Vol. 62, p. 168-168
Övrigt konferensbidrag
2021

Plastic-Degrading Potential across the Global Microbiome Correlates with Recent Pollution Trends

Jan Zrimec, Mariia Kokina, Sara Jonasson et al
mBio. Vol. 12 (5)
Artikel i vetenskaplig tidskrift
2021

metaGEM: reconstruction of genome scale metabolic models directly from metagenomes

Francisco Zorrilla, Filip Buric, K. R. Patil et al
Nucleic Acids Research. Vol. 49 (21)
Artikel i vetenskaplig tidskrift
2021

Bayesian genome scale modelling identifies thermal determinants of yeast metabolism

Gang Li, Yating Hu, Jan Zrimec et al
Nature Communications. Vol. 12 (1)
Artikel i vetenskaplig tidskrift
2021

Benchmarking accuracy and precision of intensity-based absolute quantification of protein abundances in Saccharomyces cerevisiae

Benjamín José Sánchez, Petri-Jaan Lahtvee, Kate Campbell et al
Proteomics. Vol. 21 (6)
Artikel i vetenskaplig tidskrift
2021

Expanding functional protein sequence spaces using generative adversarial networks

Donatas Repecka, Vykintas Jauniskis, Laurynas Karpus et al
Nature Machine Intelligence. Vol. 3 (4), p. 324-333
Artikel i vetenskaplig tidskrift
2021

A time-resolved proteomic and prognostic map of COVID-19

Vadim Demichev, Pinkus Tober-Lau, Oliver Lemke et al
Cell Systems. Vol. 12 (8), p. 780-794.e7
Artikel i vetenskaplig tidskrift
2020

Ultra-High-Throughput Clinical Proteomics Reveals Classifiers of COVID-19 Infection

Christoph B. Messner, Vadim Demichev, Daniel Wendisch et al
Cell Systems. Vol. 11 (1), p. 11-24.E4
Artikel i vetenskaplig tidskrift
2020

Parallel Factor Analysis Enables Quantification and Identification of Highly Convolved Data-Independent-Acquired Protein Spectra

Filip Buric, Jan Zrimec, Aleksej Zelezniak
Patterns. Vol. 1 (9)
Artikel i vetenskaplig tidskrift
2020

Deep learning suggests that gene expression is encoded in all parts of a co-evolving interacting gene regulatory structure

Jan Zrimec, Christoph Sebastian Börlin, Filip Buric et al
Nature Communications. Vol. 11 (1)
Artikel i vetenskaplig tidskrift
2019

Ice-Age Climate Adaptations Trap the Alpine Marmot in a State of Low Genetic Diversity

Toni I. Gossmann, Achchuthan Shanmugasundram, Stefan Börno et al
Current Biology. Vol. 29 (10), p. 1712-1720.e7
Artikel i vetenskaplig tidskrift
2018

Machine Learning Predicts the Yeast Metabolome from the Quantitative Proteome of Kinase Knockouts

Aleksej Zelezniak, Jakob Vowinckel, Floriana Capuano et al
Cell Systems. Vol. 7 (3), p. 269-283
Artikel i vetenskaplig tidskrift
2018

Cost-effective generation of precise label-free quantitative proteomes in high-throughput by microLC and data-independent acquisition

Jakob Vowinckel, Aleksej Zelezniak, Roland Bruderer et al
Scientific Reports. Vol. 8 (1)
Artikel i vetenskaplig tidskrift
2018

Biochemical principles enabling metabolic cooperativity and phenotypic heterogeneity at the single cell level

Kate Campbell, Lucia Herrera-Dominguez, Clara Correia-Melo et al
Current Opinion in Systems Biology. Vol. 8, p. 97-108
Reviewartikel
2018

Nutritional preferences of human gut bacteria reveal their metabolic idiosyncrasies

Melanie Tramontano, Sergej Andrejev, Mihaela Pruteanu et al
Nature Microbiology. Vol. 3 (4), p. 514-522
Artikel i vetenskaplig tidskrift
2017

Designing and interpreting 'multi-omic' experiments that may change our understanding of biology

Robert Haas, Aleksej Zelezniak, Jacopo Iacovacci et al
Current Opinion in Systems Biology. Vol. 6, p. 37-45
Reviewartikel
2017

The self-inhibitory nature of metabolic networks and its alleviation through compartmentalization

M. T. Alam, V. Olin-Sandoval, A. Stincone et al
Nature Communications. Vol. 8, p. Article no 16018-
Artikel i vetenskaplig tidskrift

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Visar 5 forskningsprojekt

2024–2025

Heterologous Protein Expression using Generative AI

Aleksej Zelezniak Systembiologi
Knut och Alice Wallenbergs Stiftelse

2021–2022

AI-guided engineering of target specific human antibodies

Aleksej Zelezniak Systembiologi
Knut och Alice Wallenbergs Stiftelse

2020–2024

Använda AI för att upptäcka "DNA-grammatik" för syntetiska biologiska tillämpningar

Aleksej Zelezniak Systembiologi
Vetenskapsrådet (VR)

2 publikationer finns
Det kan finnas fler projekt där Aleksej Zelezniak medverkar, men du måste vara inloggad som anställd på Chalmers för att kunna se dem.