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Sergej Andrejev
Sergej Andrejev
EMBL (European Molecular Biology Laboratory)
Verified email at embl.de
Title
Cited by
Cited by
Year
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
6662015
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
4722018
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
3002017
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
2302018
Bioaccumulation of therapeutic drugs by human gut bacteria
M Klünemann, S Andrejev, S Blasche, A Mateus, P Phapale, ...
Nature 597 (7877), 533-538, 2021
1972021
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
1652021
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
442016
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
412012
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, ...
272017
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
172022
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
82022
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
12020
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
12020
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
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Articles 1–19