Kerkhoven, Eduard J.

Deep learning-based kcat prediction enables improved enzyme-constrained model reconstruction

Li, F., Yuan, L., Lu, H., Li, G., Chen, Y., Engqvist, M. K. M., Kerkhoven, E. J., & Nielsen, J. (2022) · Nature Catalysis

Microbial Metabolic Engineering and BioproductionBioinformatics and Genomic Networks

Cited by 466

Improving the phenotype predictions of a yeast genome‐scale metabolic model by incorporating enzymatic constraints

Sánchez, B. J., Zhang, C., Nilsson, A., Lahtvee, P., Kerkhoven, E. J., & Nielsen, J. (2017) · Molecular Systems Biology

Microbial Metabolic Engineering and BioproductionGene Regulatory Network Analysis

Cited by 466

An atlas of human metabolism

Robinson, J. L., Kocabaş, P., Wang, H., Cholley, P.-E., Cook, D., Nilsson, A., Anton, M., Ferreira, R., Domenzain, I., Billa, V., et al. (2020) · Science Signaling

Microbial Metabolic Engineering and BioproductionBioinformatics and Genomic Networks

Cited by 442

RAVEN 2.0: A versatile toolbox for metabolic network reconstruction and a case study on Streptomyces coelicolor

Wang, H., Marcišauskas, S., Sánchez, B. J., Domenzain, I., Hermansson, D., Agren, R., Nielsen, J., & Kerkhoven, E. J. (2018) · PLOS Computational Biology

Microbial Metabolic Engineering and BioproductionGene Regulatory Network Analysis

Cited by 381

Reconstruction of a catalogue of genome-scale metabolic models with enzymatic constraints using GECKO 2.0

Domenzain, I., Sánchez, B., Anton, M., Kerkhoven, E. J., Millán-Oropeza, A., Henry, C., Siewers, V., Morrissey, J. P., Sonnenschein, N., & Nielsen, J. (2021) · Nature Communications

Microbial Metabolic Engineering and BioproductionGene Regulatory Network Analysis

Cited by 158

Genome scale modeling of the protein secretory pathway reveals novel targets for improved recombinant protein production in yeast

Li, F., Chen, Y., Qi, Q., Wang, Y., Yuan, L., Huang, M., Elsemman, I. E., Feizi, A., Kerkhoven, E. J., & Nielsen, J. (2021) · Nature Communications

Microbial Metabolic Engineering and BioproductionFungal and yeast genetics research

Cited by 91

Yeast metabolic innovations emerged via expanded metabolic network and gene positive selection

Lu, H., Li, F., Yuan, L., Domenzain, I., Yu, R., Wang, H., Li, G., Chen, Y., Ji, B., Kerkhoven, E. J., et al. (2021) · Molecular Systems Biology

Microbial Metabolic Engineering and BioproductionFungal and yeast genetics research

Cited by 44