Skip to content
#protein folding Open access

The p53 pulse encoder counts by topological necessity: theory, evidence, and the molecular origin of the 5.5-hour clock: v1.0.0 - split-edition release

Oct 2026 · Zenodo (CERN European Organization for Nuclear Research)
Gene Regulatory Network Analysis

Abstract

After DNA damage, p53 does not signal how much damage there is by how much p53 there is: single cells fire a series of pulses whose amplitude is dose-invariant and whose number grows with dose. Why the encoder works this way has been open since the pulses were discovered. We show that the answer is topological. Pulse-generating circuits fall into two classes, pure negative feedback (NF) and excitable positive-feedback structures (EXC), and we prove that the classes are separable by three output signatures: onset continuity, hysteresis width, and the range sensitivity α = ∂lnA/∂lnD. NF onsets are Hopf-type, with A² linear in drive (verified at R² = 0.9926); EXC amplitudes are drive-independent exactly in the singular limit (6.5% variation over a 4.6-fold drive in the FitzHugh–Nagumo representative). The published p53 record decides the class: the same protein in the same cell line shows α = −0.001 ± 0.113 after double-strand breaks against α = +0.981 ± 0.114 after UV, 6.1 combined standard deviations apart, placing the DSB response deep in the EXC region. A Fisher-information census of the excitable encoder then shows that timing-type statistics carry nearly all parameter information while amplitude carries almost none (94.5% versus 5.5% at the representative calibration; the exact share is calibration-bounded, the ordering is not), that the noise amplitude is an exact null direction of all first-moment statistics (λ7/λ1 ≤ 4.7×10⁻¹⁹), and that dose reaches the nucleus near-losslessly as pulse count (I(D;N) = 3.07 of 3.17 bits). The 5.5 h period, 2.0 h interpulse interval and 1.25 h first-pulse delay decompose onto measured molecular rate constants, and an independent closed-form oscillator model lands on the same period (5.60 h) only under stressed-state parameters. A two-way dose-scan experiment with a frozen decision criterion is proposed as the decisive remaining test. Counting is not a design choice the cell happened to make; for this circuit class, it is the only channel left open.

View source

Similar papers

#computer vision Review Open access May 2015

A survey study on major technical barriers affecting the decision to adopt cloud services

The comparison of adopter and non-adopter sample reveals three potential adoption inhibitor, security, data privacy, and portability, which underlines the importance of the technical and security perspectives for research investigating the adoption of technology.

Nattakarn Phaphoom, Xiaofeng Wang, S. Samuel et al. · 111 citations · ⚡8
#computer vision Open access Feb 2018

Lean Internal Startups for Software Product Innovation in Large Companies: Enablers and Inhibitors

This study investigates how Lean internal startup facilitates software product innovation in large companies and identifies its enablers and inhibitors, and shows the potential of the method-in-action framework to investigate the Lean startup approach in non-startup context.

Henry Edison, Nina M. Smørsgård, Xiaofeng Wang et al. · 78 citations · ⚡6
#computer vision Book Open access Jul 2015

Understanding the affect of developers: theoretical background and guidelines for psychoempirical software engineering

This paper highlights the challenges to conduct proper affect-related studies with psychology, provides a comprehensive literature review in affect theory, and proposes guidelines for conducting psychoempirical software engineering.

D. Graziotin, Xiaofeng Wang, P. Abrahamsson · 56 citations · ⚡4
#machine learning Open access May 2017

What Influences the Speed of Prototyping? An Empirical Investigation of Twenty Software Startups

This study conducts a multiple case study on twenty European software startups and proposes a prototype-centric learning model in early stage software startups, and identifies factors that occur as barriers but also facilitators for prototyping in earlystage software startups.

Anh Nguyen-Duc, Xiaofeng Wang, P. Abrahamsson · 44 citations · ⚡5
#protein folding Open access Sep 2026

Programmable design of functional proteins from natural language

Pinal, a 16-billion-parameter foundation model that produces protein candidates from natural-language functional descriptions, supports natural language as a high-level interface for candidate generation in protein design, enabling programmable exploration with reduced reliance on manually specified structural or seque...

Fengyuan Dai, Shiyang You, Yudian Zhu et al. · 31 citations · ⚡3

Related blog posts

Google DeepMind Blog Sep 30, 2026

Introducing SynthID Bio

Proof of concept for watermarking AI-generated proteins while preserving biological function.

MIT News · Artificial Intelligence Aug 27, 2026

Looking beyond natural sequences

A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.