Metabolic dependencies drive species co-occurrence in diverse microbial communities A Zelezniak, S Andrejev, O Ponomarova, DR Mende, P Bork, KR Patil Proceedings of the National Academy of Sciences 112 (20), 6449-6454, 2015 | 672 | 2015 |
Fast automated reconstruction of genome-scale metabolic models for microbial species and communities D Machado, S Andrejev, M Tramontano, KR Patil Nucleic acids research 46 (15), 7542-7553, 2018 | 486 | 2018 |
Yeast creates a niche for symbiotic lactic acid bacteria through nitrogen overflow O Ponomarova, N Gabrielli, DC Sévin, M Mülleder, K Zirngibl, K Bulyha, ... Cell systems 5 (4), 345-357. e6, 2017 | 307 | 2017 |
Nutritional preferences of human gut bacteria reveal their metabolic idiosyncrasies M Tramontano, S Andrejev, M Pruteanu, M Klünemann, M Kuhn, ... Nature microbiology 3 (4), 514-522, 2018 | 235 | 2018 |
Bioaccumulation of therapeutic drugs by human gut bacteria M Klünemann, S Andrejev, S Blasche, A Mateus, P Phapale, ... Nature 597 (7877), 533-538, 2021 | 208 | 2021 |
Polarization of microbial communities between competitive and cooperative metabolism D Machado, OM Maistrenko, S Andrejev, Y Kim, P Bork, KR Patil, KR Patil Nature ecology & evolution 5 (2), 195-203, 2021 | 172 | 2021 |
Yeast metabolic chassis designs for diverse biotechnological products P Jouhten, T Boruta, S Andrejev, F Pereira, I Rocha, KR Patil Scientific reports 6 (1), 29694, 2016 | 44 | 2016 |
Impact of stoichiometry representation on simulation of genotype-phenotype relationships in metabolic networks AR Brochado, S Andrejev, CD Maranas, KR Patil PLoS computational biology 8 (11), e1002758, 2012 | 41 | 2012 |
Yeast creates a niche for symbiotic lactic acid bacteria through nitrogen overflow. Cell Syst 5: 345–357. e6 O Ponomarova, N Gabrielli, DC Sévin, M Mülleder, K Zirngibl, K Bulyha, ... | 29 | 2017 |
Bioactivity assessment of natural compounds using machine learning models trained on target similarity between drugs V Periwal, S Bassler, S Andrejev, N Gabrielli, KR Patil, A Typas, KR Patil PLoS computational biology 18 (4), e1010029, 2022 | 17 | 2022 |
Predictive evolution of metabolic phenotypes using model‐designed environments P Jouhten, D Konstantinidis, F Pereira, S Andrejev, K Grkovska, S Castillo, ... Molecular Systems Biology 18 (10), e10980, 2022 | 8 | 2022 |
In-vitro model of the human gut microbiome and uses thereof in the analysis of the impact of xenobiotics M Tramontano, KR Patil, M Klünemann, M Pruteanu, L Maier, M Kuhn, ... US Patent App. 16/966,322, 2020 | 1 | 2020 |
Bioactivity assessment of natural compounds using machine learning models based on drug target similarity V Periwal, S Bassler, S Andrejev, N Gabrielli, KR Patil, A Typas, KR Patil bioRxiv, 2020.11. 06.371112, 2020 | 1 | 2020 |
Linear interaction between replication and transcription shapes DNA break dynamics at recurrent DNA break Clusters L Corazzi, VS Ionasz, S Andrejev, LC Wang, A Vouzas, M Giaisi, ... Nature Communications 15 (1), 3594, 2024 | | 2024 |
Emergent survival and extinction of species within gut bacterial communities NI van den Berg, M Tramontano, R Guan, S Andrejev, S Blasche, Y Kim, ... bioRxiv, 2024.04. 29.591619, 2024 | | 2024 |
Highly parallelized laboratory evolution of wine yeasts for enhanced metabolic phenotypes P Ghiaci, P Jouhten, N Martyushenko, H Roca-Mesa, J Vázquez, ... bioRxiv, 2022.04. 18.488345, 2022 | | 2022 |
Predictive evolution of metabolic phenotypes using model-designed selection niches P Jouhten, D Konstantinidis, F Pereira, S Andrejev, K Grkovska, P Ghiachi, ... bioRxiv, 2021.05. 14.443989, 2021 | | 2021 |
Model-guided construction of recombinant S. cerevisiae strains showing lower acetate yield under aerobic conditions AJ Rodrigues, S Andrejev, P Jouhten, KR Patil, J Tronchoni, P Morales, ... | | 2019 |
Identification of target genes to reduce acetate yield by Saccharomyces cerevisiae under aerobic conditions AJ Rodrigues, S Andrejev, P Jouhten, KR Patil, J Tronchoni, P Morales, ... | | 2019 |