Bilaketaren emaitzak - Aleksej Zelezniak

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  1. 1
    Contribution of Network Connectivity in Determining the Relationship between Gene Expression and Metabolite Concentration Changes

    Contribution of Network Connectivity in Determining the Relationship between Gene Expression and Metabolite Concentration Changes nork Aleksej Zelezniak, Steven D. Sheridan, Kiran Raosaheb Patil

    Argitaratua 2014
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  2. 2
    metaGEM: reconstruction of genome scale metabolic models directly from metagenomes

    metaGEM: reconstruction of genome scale metabolic models directly from metagenomes nork Francisco Zorrilla, Filip Buric, Kiran Raosaheb Patil, Aleksej Zelezniak

    Argitaratua 2021
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  3. 3
    Metabolic Network Topology Reveals Transcriptional Regulatory Signatures of Type 2 Diabetes

    Metabolic Network Topology Reveals Transcriptional Regulatory Signatures of Type 2 Diabetes nork Aleksej Zelezniak, Tune H. Pers, Simão Soares, Mary‐Elizabeth Patti, Kiran Raosaheb Patil

    Argitaratua 2010
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  4. 4
    Designing and interpreting ‘multi-omic’ experiments that may change our understanding of biology

    Designing and interpreting ‘multi-omic’ experiments that may change our understanding of biology nork Robert Haas, Aleksej Zelezniak, Jacopo Iacovacci, Stephan Kamrad, StJohn Townsend, Markus Ralser

    Argitaratua 2017
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  5. 5
    Metabolic dependencies drive species co-occurrence in diverse microbial communities

    Metabolic dependencies drive species co-occurrence in diverse microbial communities nork Aleksej Zelezniak, Sergej Andrejev, Olga Ponomarova, Daniel R. Mende, Peer Bork, Kiran Raosaheb Patil

    Argitaratua 2015
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  6. 6
    Computational Scoring and Experimental Evaluation of Enzymes Generated by Neural Networks

    Computational Scoring and Experimental Evaluation of Enzymes Generated by Neural Networks nork Sean R. Johnson, Xiaozhi Fu, Sandra Viknander, Clara Goldin, Sarah Monaco, Aleksej Zelezniak, Kevin Yang

    Argitaratua 2023
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  7. 7
    Computational scoring and experimental evaluation of enzymes generated by neural networks

    Computational scoring and experimental evaluation of enzymes generated by neural networks nork Sean R. Johnson, Xiaozhi Fu, Sandra Viknander, Clara Goldin, Sarah Monaco, Aleksej Zelezniak, Kevin Yang

    Argitaratua 2024
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  8. 8
    Functional Metabolomics Describes the Yeast Biosynthetic Regulome

    Functional Metabolomics Describes the Yeast Biosynthetic Regulome nork Michael Mülleder, Enrica Calvani, Mohammad Tauqeer Alam, Richard Kangda Wang, Florian Eckerstorfer, Aleksej Zelezniak, Markus Ralser

    Argitaratua 2016
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  9. 9
    Bayesian genome scale modelling identifies thermal determinants of yeast metabolism

    Bayesian genome scale modelling identifies thermal determinants of yeast metabolism nork Gang Li, Yating Hu, Jan Zrimec, Hao Luo, Hao Wang, Aleksej Zelezniak, Boyang Ji, Jens Nielsen

    Argitaratua 2021
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  10. 10
    Learning deep representations of enzyme thermal adaptation

    Learning deep representations of enzyme thermal adaptation nork Gang Li, Filip Buric, Jan Zrimec, Sandra Viknander, Jens Nielsen, Aleksej Zelezniak, Martin K. M. Engqvist

    Argitaratua 2022
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  11. 11
    The self-inhibitory nature of metabolic networks and its alleviation through compartmentalization

    The self-inhibitory nature of metabolic networks and its alleviation through compartmentalization nork Mohammad Tauqeer Alam, Viridiana Olín‐Sandoval, Anna Stincone, Markus A. Keller, Aleksej Zelezniak, Ben F. Luisi, Markus Ralser

    Argitaratua 2017
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  12. 12
    Deep learning suggests that gene expression is encoded in all parts of a co-evolving interacting gene regulatory structure

    Deep learning suggests that gene expression is encoded in all parts of a co-evolving interacting gene regulatory structure nork Jan Zrimec, Christoph S Börlin, Filip Buric, Azam Sheikh Muhammad, Rhongzen Chen, Verena Siewers, Vilhelm Verendel, Jens Nielsen, Mats Töpel, Aleksej Zelezniak

    Argitaratua 2020
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  13. 13
    Machine Learning Predicts the Yeast Metabolome from the Quantitative Proteome of Kinase Knockouts

    Machine Learning Predicts the Yeast Metabolome from the Quantitative Proteome of Kinase Knockouts nork Aleksej Zelezniak, Jakob Vowinckel, Floriana Capuano, Christoph B. Messner, Vadim Demichev, Nicole Polowsky, Michael Mülleder, Stephan Kamrad, Bernd Klaus, Markus A. Keller, Markus Ralser

    Argitaratua 2018
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  14. 14
    Expanding functional protein sequence spaces using generative adversarial networks

    Expanding functional protein sequence spaces using generative adversarial networks nork Donatas Repecka, Vykintas Jauniškis, Laurynas Karpus, Elzbieta Rembeza, Irmantas Rokaitis, Jan Zrimec, Simona Povilonienė, Audrius Laurynėnas, Sandra Viknander, Wissam Abuajwa, Otto Savolainen, Rolandas Meškys, Martin K. M. Engqvist, Aleksej Zelezniak

    Argitaratua 2021
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  15. 15
    Controlling gene expression with deep generative design of regulatory DNA

    Controlling gene expression with deep generative design of regulatory DNA nork Jan Zrimec, Xiaozhi Fu, Azam Sheikh Muhammad, Christos Skrekas, Vykintas Jauniškis, Nora K. Speicher, Christoph S Börlin, Vilhelm Verendel, Morteza Haghir Chehreghani, Devdatt Dubhashi, Verena Siewers, Florian David, Jens Nielsen, Aleksej Zelezniak

    Argitaratua 2022
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  16. 16
    The metabolic background is a global player in Saccharomyces gene expression epistasis

    The metabolic background is a global player in Saccharomyces gene expression epistasis nork Mohammad Tauqeer Alam, Aleksej Zelezniak, Michael Mülleder, Pavel V. Shliaha, Roland F. Schwarz, Floriana Capuano, Jakob Vowinckel, Elahe Radmaneshfar, Antje Krüger, Enrica Calvani, Steve Michel, Stefan T. Börno, Stefan Christen, Kiran Raosaheb Patil, Bernd Timmermann, Kathryn S. Lilley, Markus Ralser

    Argitaratua 2016
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  17. 17
    Cell-cell metabolite exchange creates a pro-survival metabolic environment that extends lifespan

    Cell-cell metabolite exchange creates a pro-survival metabolic environment that extends lifespan nork Clara Correia‐Melo, Stephan Kamrad, Roland Tengölics, Christoph B. Messner, Pauline Trébulle, StJohn Townsend, Sreejith J. Varma, Anja Freiwald, Benjamin M. Heineike, Kate Campbell, Lucía Herrera-Domínguez, Simran Kaur Aulakh, Łukasz Szyrwiel, Jason Yu, Aleksej Zelezniak, Vadim Demichev, Michael Mülleder, Balázs Papp, Mohammad Tauqeer Alam, Markus Ralser

    Argitaratua 2023
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  18. 18
    A proteomic survival predictor for COVID-19 patients in intensive care

    A proteomic survival predictor for COVID-19 patients in intensive care nork Vadim Demichev, Pinkus Tober‐Lau, Tatiana Nazarenko, Oliver Lemke, Simran Kaur Aulakh, Harry J. Whitwell, Annika Röhl, Anja Freiwald, Mirja Mittermaier, Łukasz Szyrwiel, Daniela Ludwig, Clara Correia‐Melo, Lena J. Lippert, Elisa T. Helbig, Paula Stubbemann, Nadine Olk, Charlotte Thibeault, Nana‐Maria Grüning, Oleg Blyuss, Spyros I. Vernardis, Matthew White, Christoph B. Messner, Michael Joannidis, Thomas Sonnweber, Sebastian J. Klein, Alex Pizzini, Yvonne Wohlfarter, Sabina Sahanic, Richard Hilbe, Benedikt Schaefer, Sonja Wagner, Felix Machleidt, Carmen García, Christoph Ruwwe‐Glösenkamp, Tilman Lingscheid, Laure Bosquillon de Jarcy, Miriam Stegemann, Moritz Pfeiffer, Linda Jürgens, Sophy Denker, Daniel Zickler, Claudia Spies, Andreas Edel, Nils B. Müller, Philipp Enghard, Aleksej Zelezniak, Rosa Bellmann‐Weiler, Günter Weiß, Archie Campbell, Caroline Hayward, David J. Porteous, Riccardo E. Marioni, Alexander Uhrig, Heinz Zoller, Judith Löffler‐Ragg, Markus A. Keller, Ivan Tancevski, John F. Timms, Alexey Zaikin, Stefan Hippenstiel, Michael Ramharter, Holger Müller-Redetzky, Martin Witzenrath, Norbert Suttorp, Kathryn S. Lilley, Michael Mülleder, Leif Erik Sander, Florian Kurth, Markus Ralser

    Argitaratua 2022
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  19. 19
    A time-resolved proteomic and prognostic map of COVID-19

    A time-resolved proteomic and prognostic map of COVID-19 nork Vadim Demichev, Pinkus Tober‐Lau, Oliver Lemke, Tatiana Nazarenko, Charlotte Thibeault, Harry J. Whitwell, Annika Röhl, Anja Freiwald, Łukasz Szyrwiel, Daniela Ludwig, Clara Correia‐Melo, Simran Kaur Aulakh, Elisa T. Helbig, Paula Stubbemann, Lena J. Lippert, Nana‐Maria Grüning, Oleg Blyuss, Spyros I. Vernardis, Matthew White, Christoph B. Messner, Michael Joannidis, Thomas Sonnweber, Sebastian Klein, Alex Pizzini, Yvonne Wohlfarter, Sabina Sahanic, Richard Hilbe, Benedikt Schaefer, Sonja Wagner, Mirja Mittermaier, Felix Machleidt, Carmen García, Christoph Ruwwe‐Glösenkamp, Tilman Lingscheid, Laure Bosquillon de Jarcy, Miriam Stegemann, Moritz Pfeiffer, Linda Jürgens, Sophy Denker, Daniel Zickler, Philipp Enghard, Aleksej Zelezniak, Archie Campbell, Caroline Hayward, David J. Porteous, Riccardo E. Marioni, Alexander Uhrig, Holger Müller-Redetzky, Heinz Zoller, Judith Löffler‐Ragg, Markus A. Keller, Ivan Tancevski, John F. Timms, Alexey Zaikin, Stefan Hippenstiel, Michael Ramharter, Martin Witzenrath, Norbert Suttorp, Kathryn S. Lilley, Michael Mülleder, Leif Erik Sander, Markus Ralser, Florian Kurth, Malte Kleinschmidt, Kathrin Heim, Belén Millet, Lil Meyer-Arndt, Ralf‐Harto Hübner, Tim Andermann, Jan M. Doehn, Bastian Opitz, Birgit Sawitzki, Daniel Grund, Peter Radünzel, Mariana Schürmann, Thomas Zöller, Florian Alius, Philipp Knape, Astrid Breitbart, Yaosi Li, Felix Bremer, Panagiotis Pergantis, Dirk Schürmann, Bettina Temmesfeld‐Wollbrück, Daniel Wendisch, Sophia Brumhard, Sascha S. Haenel, Claudia Conrad, Philipp Georg, Kai‐Uwe Eckardt, Lukas Lehner, Jan Matthias Kruse, Carolin Ferse, Roland Körner, Claudia Spies, Andreas Edel, Steffen Weber‐Carstens, Alexander Krannich, Saskia Zvorc, Linna Li

    Argitaratua 2021
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