ArticleNature communications2017
Exploratory adaptation in large random networks.
Article in Nature communications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 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
26 citing papers in PubMed.
- Engineered Living Systems With Self-Organizing Neural Networks: From Anatomy to Behavior and Gene Expression.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Review
- From static definitions to dynamic landscapes: physiological states in yeast.Frontiers in microbiology · 2026Article
- Associative conditioning in gene regulatory network models increases integrative causal emergence.Communications biology · 2025Article
- A Model of Epigenetic Inheritance Accounts for Unexpected Adaptation to Unforeseen Challenges.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Basal Xenobot transcriptomics reveals changes and novel control modality in cells freed from organismal influence.Communications biology · 2025Article
- The Multiscale Wisdom of the Body: Collective Intelligence as a Tractable Interface for Next-Generation Biomedicine.BioEssays : news and reviews in molecular, cellular and developmental biology · 2025Review
- Epistatic hotspots organize antibody fitness landscape and boost evolvability.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Multicellular adaptation to electrophysiological perturbations analyzed by deterministic and stochastic bioelectrical models.Scientific reports · 2024Article
- Stress sharing as cognitive glue for collective intelligences: A computational model of stress as a coordinator for morphogenesis.Biochemical and biophysical research communications · 2024Article
- Dimensional reduction and adaptation-development-evolution relation in evolved biological systems.Biophysical reviews · 2024Review
- TGF-β1 promotes osteogenesis of mesenchymal stem cells via integrin mediated mechanical positive autoregulation.iScience · 2024Article
- Evolutionary Implications of Self-Assembling Cybernetic Materials with Collective Problem-Solving Intelligence at Multiple Scales.Entropy (Basel, Switzerland) · 2024Article
- Darwin's agential materials: evolutionary implications of multiscale competency in developmental biology.Cellular and molecular life sciences : CMLS · 2023Review
- There's Plenty of Room Right Here: Biological Systems as Evolved, Overloaded, Multi-Scale Machines.Biomimetics (Basel, Switzerland) · 2023Article
- Effective bet-hedging through growth rate dependent stability.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Competency in Navigating Arbitrary Spaces as an Invariant for Analyzing Cognition in Diverse Embodiments.Entropy (Basel, Switzerland) · 2022Article
- Cancer progression as a learning process.iScience · 2022Review
- Technological Approach to Mind Everywhere: An Experimentally-Grounded Framework for Understanding Diverse Bodies and Minds.Frontiers in systems neuroscience · 2022Article
- Gene regulatory networks exhibit several kinds of memory: quantification of memory in biological and random transcriptional networks.iScience · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The capacity of cells and organisms to respond to challenging conditions in a repeatable manner is limited by a finite repertoire of pre-evolved adaptive responses. Beyond this capacity, cells can use exploratory dynamics to cope with a much broader array of conditions. However, the process of adaptation by exploratory dynamics within the lifetime of a cell is not well understood. Here we demonstrate the feasibility of exploratory adaptation in a high-dimensional network model of gene regulation. Exploration is initiated by failure to comply with a constraint and is implemented by random sampling of network configurations. It ceases if and when the network reaches a stable state satisfying the constraint. We find that successful convergence (adaptation) in high dimensions requires outgoing network hubs and is enhanced by their auto-regulation. The ability of these empirically validated features of gene regulatory networks to support exploratory adaptation without fine-tuning, makes it plausible for biological implementation.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.