ArticleMolecular systems biology2018
Deep scanning lysine metabolism in
Article in Molecular systems biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
28 citing papers in PubMed, 46 citations in OpenAlex.
- Riboswitch-targeted improvement of lysine production in Bacillus and Priestia species.NPJ science of food · 2026Article
- Empirical evaluation of all unique Cas9 protospacers in E. coli reveal widespread functionality and rules for gRNA design.Nucleic acids research · 2026Article
- From Design to Practice: A Comprehensive Tutorial for the Rapid Multiplex Engineering ofBio-protocol · 2026Article
- Multilayered regulation by RNA thermometers enables precise control of Cas9 expression in E. coli.Nucleic acids research · 2026Article
- High-throughput conjugation reveals strain specific recombination patterns enabling precise trait mapping in Escherichia coli.PLoS genetics · 2025Article
- BERT-AmPEP60: A BERT-Based Transfer Learning Approach to Predict the Minimum Inhibitory Concentrations of Antimicrobial Peptides forJournal of chemical information and modeling · 2025Article
- Nitrogen assimilation bymBio · 2024Article
- Engineering of increased L-Threonine production in bacteria by combinatorial cloning and machine learning.Metabolic engineering communications · 2023Article
- Mass-Activated Droplet Sorting for the Selection of Lysine-ProducingAnalytical chemistry · 2023Article
- Mutation bias and the predictability of evolution.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023Review
- FBA-PRCC. Partial Rank Correlation Coefficient (PRCC) Global Sensitivity Analysis (GSA) in Application to Constraint-Based Models.Biomolecules · 2023Article
- Exploring the expanse between theoretical questions and experimental approaches in the modern study of evolvability.Journal of experimental zoology. Part B, Molecular and developmental evolution · 2023Article
- Deep mutational scanning: A versatile tool in systematically mapping genotypes to phenotypes.Frontiers in genetics · 2023Review
- On the incongruence of genotype-phenotype and fitness landscapes.PLoS computational biology · 2022Article
- Trade-offs predicted by metabolic network structure give rise to evolutionary specialization and phenotypic diversification.Molecular biology and evolution · 2022Article
- Oligo Pools as an Affordable Source of Synthetic DNA for Cost-Effective Library Construction in Protein- and Metabolic Pathway Engineering.Chembiochem : a European journal of chemical biology · 2022Review
- Intelligent host engineering for metabolic flux optimisation in biotechnology.The Biochemical journal · 2021Review
- A simplified strategy for titrating gene expression reveals new relationships between genotype, environment, and bacterial growth.Nucleic acids research · 2021Article
- Riboswitches as Drug Targets for Antibiotics.Antibiotics (Basel, Switzerland) · 2021Review
- Targeted mutagenesis of multiple chromosomal regions in microbes.Current opinion in microbiology · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Our limited ability to predict genotype-phenotype relationships has called for strategies that allow testing of thousands of hypotheses in parallel. Deep scanning mutagenesis has been successfully implemented to map genotype-phenotype relationships at a single-protein scale, allowing scientists to elucidate properties that are difficult to predict. However, most phenotypes are dictated by several proteins that are interconnected through complex and robust regulatory and metabolic networks. These sophisticated networks hinder our understanding of the phenotype of interest and limit our capabilities to rewire cellular functions. Here, we leveraged CRISPR-EnAbled Trackable genome Engineering to attempt a parallel and high-resolution interrogation of complex networks, deep scanning multiple proteins associated with lysine metabolism in
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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.