ReviewBioengineering (Basel, Switzerland)2025
The Constrained Disorder Principle: A Paradigm Shift for Accurate Interactome Mapping and Information Analysis in Complex Biological Systems.
Review in Bioengineering (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Network Topology and Interactomic Analysis Reveal the Regulatory Framework of the Humanin Protein Family (MTRNR2Lx Class).Biomolecules · 2026Article
- Integrating the Contrasting Perspectives Between the Constrained Disorder Principle and Deterministic Optical Nanoscopy: Enhancing Information Extraction from Imaging of Complex Systems.Bioengineering (Basel, Switzerland) · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The interactome, which represents the comprehensive network of molecular interactions within biological systems, has become a crucial framework for understanding cellular functions and disease mechanisms. However, current interactome models face significant limitations because they fail to account for the inherent variability and randomness of biological systems. The Constrained Disorder Principle (CDP) offers an innovative approach to addressing these limitations by integrating physiological variability and biological noise as essential components rather than viewing them as experimental artifacts. This paper examines how the CDP may enhance the accuracy of interactome models by incorporating the dynamic and variable nature of biological systems while preserving functional constraints. We suggest that incorporating controlled variability into interactome models may significantly improve their predictive power and biological relevance. This shift moves away from static network representations toward dynamic, context-dependent interaction maps that more accurately reflect the reality of living systems. Through a comprehensive analysis of existing clinical data and theoretical frameworks, we propose methodological advances and provide evidence for the functional importance of biological variability at the molecular, cellular, and organ levels.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.