Zrimec, Jan

Expanding functional protein sequence spaces using generative adversarial networks

Repecka, D., Jauniskis, V., Karpus, L., Rembeza, E., Rokaitis, I., Zrimec, J., Poviloniene, S., Laurynenas, A., Viknander, S., Abuajwa, W., et al. (2021) · Nature Machine Intelligence

Protein Structure and DynamicsMachine Learning in Bioinformatics

Cited by 388

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

Zrimec, J., Börlin, C. S., Buric, F., Muhammad, A. S., Chen, R., Siewers, V., Verendel, V., Nielsen, J., Töpel, M., & Zelezniak, A. (2020) · Nature Communications

Genomics and Chromatin DynamicsGene Regulatory Network Analysis

Cited by 174

Gene expression is encoded in all parts of a co-evolving interacting gene regulatory structure

Zrimec, J., Buric, F., Muhammad, A. S., Chen, R., Verendel, V., Töpel, M., & Zelezniak, A. (2019) · Nature Communications

Genomics and Chromatin DynamicsGene Regulatory Network Analysis

Cited by 173

Bayesian genome scale modelling identifies thermal determinants of yeast metabolism

Li, G., Hu, Y., Zrimec, J., Luo, H., Wang, H., Zelezniak, A., Ji, B., & Nielsen, J. (2021) · Nature Communications

Microbial Metabolic Engineering and BioproductionGene Regulatory Network Analysis

Cited by 57

The amino acid sequence determines protein abundance through its conformational stability and reduced synthesis cost

Buric, F., Viknander, S., Fu, X., Lemke, O., Zrimec, J., Szyrwiel, L., Mueleder, M., Ralser, M., & Zelezniak, A. (2023) · Protein Science

Protein Structure and DynamicsRNA and protein synthesis mechanisms

Cited by 12