ReviewNature reviews. Microbiology2020
Predictive biology: modelling, understanding and harnessing microbial complexity.
Review in Nature reviews. Microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers, 1 of them a synthesis that pooled it.
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
65 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Harnessing AI for advancing pathogenic microbiology: a bibliometric and topic modeling approach.Frontiers in microbiology · 2024Pooled it
- Host-aware Identification of Intrinsic Gene Expression Biopart Parameters using Combinatorial Libraries.Nature communications · 2026Article
- Smart Nano-Antibiotics: AI-Guided Stimuli-Responsive Nanoplatforms for Precision Antimicrobial Therapy.Antibiotics (Basel, Switzerland) · 2026Review
- Redefining Antimicrobial Resistance inInternational journal of molecular sciences · 2026Review
- From Molecular Networks to Medicines: Targeting Complexity in Alzheimer's Disease (AD) Therapy.Molecular neurobiology · 2026Review
- Dynamics of genetic circuits in Pseudomonas protegens.Cell systems · 2026Article
- Mechanistic two-pathway modeling of substrate inhibition in lactic acid bacteria for enhanced fermentation control.Quantitative biology (Beijing, China) · 2026Article
- Causes and consequences of experimental variation in Nicotiana benthamiana transient expression.Nature communications · 2026Article
- Systems Biology and Multi-Omics in Asthma and COPD: A Systematic Review of Computational Approaches (2010-2024).Journal of asthma and allergy · 2026Review
- Temporal network analysis in systems biology: concepts, inference, and validation.Frontiers in bioinformatics · 2026Review
- Article
- Rare Phyla, Such as CPR and DPANN, Shape Ecosystem-Level Microbial Community Structure Dissimilarities.Microbial ecology · 2025Article
- Backtracking metabolic dynamics in single cells predicts bacterial replication in human macrophages.Nature communications · 2025Article
- Multichassis Expression of Cyanobacterial and Other Bacterial Biosynthetic Gene Clusters.ACS synthetic biology · 2025Article
- Pre-Vaccination Immunotypes and Immune Entropy Are Indicators of Multiple Vaccine Responsiveness.Aging cell · 2025Article
- Harnessing the power: the role of dissimilatory metal-reducing bacteria in microbial fuel cells.Archives of microbiology · 2025Review
- Advances in synthetic microbial ecosystems approach for studying ecological interactions and their influencing factors.Engineering microbiology · 2025Review
- Machine learning-led semi-automated medium optimization reveals salt as key for flaviolin production in Pseudomonas putida.Communications biology · 2025Article
- Comparison of Raman spectroscopy with mass spectrometry for sequence typing ofMicrobiology spectrum · 2025Article
- Challenges and opportunities for digital twins in precision medicine from a complex systems perspective.NPJ digital medicine · 2025Review
5 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Predictive biology is the next great chapter in synthetic and systems biology, particularly for microorganisms. Tasks that once seemed infeasible are increasingly being realized such as designing and implementing intricate synthetic gene circuits that perform complex sensing and actuation functions, and assembling multi-species bacterial communities with specific, predefined compositions. These achievements have been made possible by the integration of diverse expertise across biology, physics and engineering, resulting in an emerging, quantitative understanding of biological design. As ever-expanding multi-omic data sets become available, their potential utility in transforming theory into practice remains firmly rooted in the underlying quantitative principles that govern biological systems. In this Review, we discuss key areas of predictive biology that are of growing interest to microbiology, the challenges associated with the innate complexity of microorganisms and the value of quantitative methods in making microbiology more predictable.
Indexed as
Identifiers
32472051What 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.