bioRxivBioinformaticsPreprint
How biological cells including platelets and megakaryocytes decide complex problems fast but risky
Juan Pablo PradaiD, Johannes BalkenholiD, Martin Kaltdorf, Özge OsmanoğluiD, Martin Stoerkle, Katrin Gertrud HeinzeiD, Georgi ManukjaniD, Harald SchulzeiD, Thomas DandekariD
Abstract
Short AbstractMathematical decision processes are accurate but sometimes take very long time or simply do not happen. Decisions in biology happen fast and driven by evolution, optimizing survival chances. This results in stochastic decisions with on average good adaptation to the environment but an inherent risk of individual errors e.g. developing cancer during cell regeneration. We calculate and show in platelets and megakaryocytes how cellular decision processes increases risk for errors and inflammation. Short cut solutions adapted from nature improve computer strategies for protein folding and network decision processes. Complex problems are not always solved in foreseeable time, instead the fast solutions in biology speed up errors everywhere including biochemical aging of blood vessels, misfolded proteins, mis-programmed cells, cancer and heart failure. One sentence abstractWe investigate in biological networks how complex decision problems are mastered not by an accurate but unforeseeable long mathematical search but rather pragmatic and fast, with an inherent risk of error, a basis for inflammation and cancer.
- Citations
- 1
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Thrombo-inflammation analyzed in a validated seven-layer platelet decision model: cellular decisions are tough problems fast and heuristically solved
Juan Pablo Prada, Johannes Balkenhol, … Thomas Dandekar·bioRxiv·Aug 2, 2024
- Aging in a relativistic biological space-time
D. Maestrini, D. Abler, … R. Rockne·bioRxiv·Dec 5, 2017
- A Primer on Modeling and Measurement of Signaling Outcomes Affecting Decision Making in Cells: Methods for Determining Optimal and Incorrect Outcomes in Noisy Biochemical Dynamics
Mustafa Ozen, Tomasz Lipniacki, … Ali Abdi·Integrative BiologyPeer-reviewed·May 1, 2020
- Amendable decisions in living systems
Izaak Neri, Simone Pigolotti A·bioRxiv·Jun 3, 2025
- Some lessons and perspectives for applications of stochastic models in biological and cancer research
Alan Utsuni Sabino, Miguel FS Vasconcelos, … Alexandre Ferreira Ramos·ClinicsPeer-reviewed·Jan 1, 2018
- Decision-making in a synthetic cell: the limits of biological computation
Ferdinand Greiss, Shirley Shulman Daube, … Roy Bar‐Ziv·Nature CommunicationsPeer-reviewed·Nov 6, 2020