ArticleMicrobial biotechnology2022
In vivo, in vitro and in silico: an open space for the development of microbe-based applications of synthetic biology.
Article in Microbial biotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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
16 citing papers in PubMed.
- Artificial intelligence and ultra-high performance computing methods and experiments for drug discovery: virtual screening, deep learning, molecular dynamics simulations, ADMET modelling, and experimental validation.Molecular biomedicine · 2026Review
- Natural and Synthetic Metabolic Architectures.Chembiochem : a European journal of chemical biology · 2026Article
- AI-driven drug-target interaction prediction: current progress, challenges, and future roadmap for precision medicine.Journal of computer-aided molecular design · 2026Review
- In Silico Design and Characterization of a Rationally Engineered Cas12j2 Gene Editing System for the Treatment of HPV-Associated Cancers.International journal of molecular sciences · 2026Article
- Seven critical challenges in synthetic one-carbon assimilation and their potential solutions.FEMS microbiology reviews · 2025Review
- Peperomia Pellucida (L.) Kunth: A Decade of Ethnopharmacological, Phytochemical, and Pharmacological Insights (2014-2025).Journal of experimental pharmacology · 2025Review
- Hybrid Predictive Machine Learning Model for the Prediction of Immunodominant Peptides of Respiratory Syncytial Virus.Bioengineering (Basel, Switzerland) · 2024Article
- Draft genome sequence ofMicrobiology resource announcements · 2024Article
- Engineering styrene biosynthesis: designing a functional trans-cinnamic acid decarboxylase in Pseudomonas.Microbial cell factories · 2024Article
- Review onDrug design, development and therapy · 2024Review
- A model industrial workhorse: Bacillus subtilis strain 168 and its genome after a quarter of a century.Microbial biotechnology · 2023Review
- Translating the determinant aspects on the study design in the dental implant field.Biomaterial investigations in dentistry · 2023Review
- Mathematical modeling of regulatory networks of intracellular processes - Aims and selected methods.Computational and structural biotechnology journal · 2023Review
- Synthetic metabolism forRSC chemical biology · 2022Article
- In vivo, in vitro and in silico: an open space for the development of microbe-based applications of synthetic biology.Microbial biotechnology · 2022Article
- Synthetic biology beyond borders.Microbial biotechnology · 2021Article
Corrections and comments
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Living systems are studied using three complementary approaches: living cells, cell-free systems and computer-mediated modelling. Progresses in understanding, allowing researchers to create novel chassis and industrial processes rest on a cycle that combines in vivo, in vitro and in silico studies. This design-build-test-learn iteration loop cycle between experiments and analyses combines together physiology, genetics, biochemistry and bioinformatics in a way that keeps going forward. Because computer-aided approaches are not directly constrained by the material nature of the entities of interest, we illustrate here how this virtuous cycle allows researchers to explore chemistry which is foreign to that present in extant life, from whole chassis to novel metabolic cycles. Particular emphasis is placed on the importance of evolution.
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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.