| Recon3D enables a three-dimensional view of gene variation in human metabolism E Brunk, S Sahoo, DC Zielinski, A Altunkaya, A Dräger, N Mih, F Gatto, ... Nature biotechnology 36 (3), 272-281, 2018 | 700 | 2018 |
| Improving the phenotype predictions of a yeast genome‐scale metabolic model by incorporating enzymatic constraints BJ Sánchez, C Zhang, A Nilsson, PJ Lahtvee, EJ Kerkhoven, J Nielsen Molecular systems biology 13 (8), 935, 2017 | 444 | 2017 |
| An atlas of human metabolism JL Robinson, P Kocabaş, H Wang, PE Cholley, D Cook, A Nilsson, ... Science signaling 13 (624), eaaz1482, 2020 | 332 | 2020 |
| Metabolic trade-offs in yeast are caused by F1F0-ATP synthase A Nilsson, J Nielsen Scientific reports 6 (1), 22264, 2016 | 151 | 2016 |
| Genome scale metabolic modeling of cancer A Nilsson, J Nielsen Metabolic engineering 43, 103-112, 2017 | 120 | 2017 |
| Metabolic models of protein allocation call for the kinetome A Nilsson, J Nielsen, BO Palsson Cell Systems 5 (6), 538-541, 2017 | 87 | 2017 |
| Quantitative analysis of amino acid metabolism in liver cancer links glutamate excretion to nucleotide synthesis A Nilsson, JR Haanstra, M Engqvist, A Gerding, BM Bakker, U Klingmüller, ... Proceedings of the National Academy of Sciences 117 (19), 10294-10304, 2020 | 60 | 2020 |
| BioMet Toolbox 2.0: genome-wide analysis of metabolism and omics data M Garcia-Albornoz, S Thankaswamy-Kosalai, A Nilsson, L Väremo, ... Nucleic acids research 42 (W1), W175-W181, 2014 | 59 | 2014 |
| Complex I is bypassed during high intensity exercise A Nilsson, E Björnson, M Flockhart, FJ Larsen, J Nielsen Nature communications 10 (1), 5072, 2019 | 38 | 2019 |
| Predicting growth of the healthy infant using a genome scale metabolic model A Nilsson, A Mardinoglu, J Nielsen Npj Systems Biology and Applications 3 (1), 3, 2017 | 32 | 2017 |
| Artificial neural networks enable genome-scale simulations of intracellular signaling A Nilsson, JM Peters, N Meimetis, B Bryson, DA Lauffenburger Nature Communications 13 (1), 3069, 2022 | 27 | 2022 |
| Cancer-associated fibroblasts and squamous epithelial cells constitute a unique microenvironment in a mouse model of inflammation-induced colon cancer PN Vega, A Nilsson, MP Kumar, H Niitsu, AJ Simmons, J Ro, J Wang, ... Frontiers in oncology 12, 2022 | 12 | 2022 |
| Antibodies against the Ebola virus soluble glycoprotein are associated with long-term vaccine-mediated protection of non-human primates BM Gunn, RP McNamara, L Wood, S Taylor, A Devadhasan, W Guo, ... Cell reports 42 (4), 2023 | 9 | 2023 |
| Metabolite depletion affects flux profiling of cell lines A Nilsson, JR Haanstra, B Teusink, J Nielsen Trends in biochemical sciences 43 (6), 395-397, 2018 | 9 | 2018 |
| A dedicated database system for handling multi-level data in systems biology N Pornputtapong, K Wanichthanarak, A Nilsson, I Nookaew, J Nielsen Source Code for Biology and Medicine 9, 1-9, 2014 | 4 | 2014 |
| Inference of drug off-target effects on cellular signaling using interactome-based deep learning N Meimetis, DA Lauffenburger, A Nilsson Iscience 27 (4), 2024 | | 2024 |
| AutoTransOP: translating omics signatures without orthologue requirements using deep learning N Meimetis, KM Pullen, DY Zhu, A Nilsson, TN Hoang, S Magliacane, ... NPJ Systems Biology and Applications 10 (1), 13, 2024 | | 2024 |
| Library-based single-cell analysis of CAR signaling reveals drivers of in vivo persistence CR Perez, A Garmilla, A Nilsson, HM Baghdassarian, KS Gordon, ... bioRxiv, 2024.04. 29.591541, 2024 | | 2024 |
| Constraint-Based Modeling of Metabolism: Interpreting Predictions of Growth and ATP Synthesis in Human and Yeast A Nilsson PQDT-Global, 2019 | | 2019 |
| Predicting metabolic strategies in Saccharomyces cerevisiae with a kinetically constrained FBA model A Nilsson | | 2014 |