ReviewNature communications2021
Towards an engineering theory of evolution.
Review in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.
What it found
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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.
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Who cites it
43 citing papers in PubMed.
- Coarse-grained resource allocation modeling for decoding and rewiring microbial metabolism.Trends in microbiology · 2026Review
- Sequence-free landscape inference for directed evolution.PLoS computational biology · 2026Article
- RNA-templated diversity generation via reverse transcription and homologous recombination: an evolutionary hypothesis.Theory in biosciences = Theorie in den Biowissenschaften · 2026Article
- Generative design of synthetic gene circuits for functional and evolutionary properties.NPJ systems biology and applications · 2026Article
- iDesignGPT enhances conceptual design via large language model agentic workflows.Nature communications · 2026Article
- Comparative Biologists and Aerospace Engineers: Important Allies to Explore the Secrets of Natural Flight.Integrative and comparative biology · 2026Article
- Tuning evolvability via plasmid copy number and regulatory architecture.Nature communications · 2025Article
- Genetic controllers for enhancing the evolutionary longevity of synthetic gene circuits in bacteria.Nature communications · 2025Article
- GnT Motifs Can Increase T:A→G:C Mutation Rates Over 1000-fold in Bacteria.Molecular biology and evolution · 2025Article
- Why cellular computations challenge our design principles.Seminars in cell & developmental biology · 2025Review
- The design and engineering of synthetic genomes.Nature reviews. Genetics · 2025Review
- Ecology and Evolutionary Biology as Frameworks to Study Wine Fermentations.Microbial biotechnology · 2025Review
- Orthogonal RNA replication enables directed evolution and Darwinian adaptation in mammalian cells.Nature chemical biology · 2025Article
- Bioengineering hybrid artificial life.Frontiers in bioinformatics · 2025Review
- Construction of a syntrophicSynthetic biology (Oxford, England) · 2025Article
- Emerging trends in genome integration tools for precision engineering of diverse bacterial species.Synthetic biology (Oxford, England) · 2025Review
- Engineering biology and automation-Replicability as a design principle.Engineering biology · 2024Review
- Spectral Algal Fingerprinting and Long Sequencing in Synthetic Algal-Microbial Communities.Cells · 2024Article
- Article
- Transfer learning for cross-context prediction of protein expression from 5'UTR sequence.Nucleic acids research · 2024Article
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
Abstract
Biological technologies are fundamentally unlike any other because biology evolves. Bioengineering therefore requires novel design methodologies with evolution at their core. Knowledge about evolution is currently applied to the design of biosystems ad hoc. Unless we have an engineering theory of evolution, we will neither be able to meet evolution's potential as an engineering tool, nor understand or limit its unintended consequences for our biological designs. Here, we propose the evotype as a helpful concept for engineering the evolutionary potential of biosystems, or other self-adaptive technologies, potentially beyond the realm of biology.
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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.