Logic of Genomic Systems

RESEARCH GROUPS

Research Summary

Nature represents an immense library in which every aspect, every book, is full of wonders. We enjoy these wonders at all levels, but we prefer to study those that originate in systems of many interacting components.  Our lab tries to identify principles in these situations. The problems we address are wide in scope and we typically approach them by employing mathematical models, analysis of available data, and the use of simple experimental setups. 

Research Lines

Driving research interests: 

Regulation and minimal control motifs. 

The architecture of large biochemical systems.

Regulation and dysregulation of cell collectives.

Learning in natural and artificial systems

What can, and cannot, be predicted.

Publications

Recent Publications

Poyatos JF. ‘Design principles of multi-map variation in biological systems’. Phys Biol. 2024, 21(4). doi: 10.1088/1478-3975/ad5d6c.

Yubero, P, Alonso-Lavin AJ, Poyatos JF. ‘The Limitations of Phenotype Prediction in Metabolism’. PLOS Computational Biology 2023, 19 (11): e1011631 doi: 1371/journal.pcbi.1011631

Yubero P, Poyatos JF. ‘Dissecting the Fitness Costs of Complex Mutations’. Mol Biol Evol. 2021, 38(10):4520-4531 doi: 10.1093/molbev/msab193.

Alonso-Lavin AJ, Bajić D, Poyatos JF. ‘Tolerance to NADH/NAD+ imbalance anticipates aging and anti-aging interventions’. iScience 2021, 24(7):102697 doi: 1016/j.isci.2021.102697

Kovács K, Farkas Z, Bajić D, Kalapis D, Daraba A, Almási K, Kintses B, Bódi Z, Notebaart RA, Poyatos JF, et. al. ‘Suboptimal Global Transcriptional Response Increases the Harmful Effects of Loss-of-Function Mutations’. Mol Biol Evol. 2021, 38(3):1137-1150 doi: 10.1093/molbev/msaa280

More publications

Group Members

Group Leader

Juan F Poyatos

PhD candidate

Alicia Lou