ReviewMicrobiology and molecular biology reviews : MMBR2016
In Silico Constraint-Based Strain Optimization Methods: the Quest for Optimal Cell Factories.
Review in Microbiology and molecular biology reviews : MMBR, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.
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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.
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Who cites it
40 citing papers in PubMed.
- Exploiting Salmonella typhimurium as a novel cancer therapeutic agent: from tumor colonization to metabolic engineering.World journal of microbiology & biotechnology · 2025Review
- Biosensor-driven strain engineering reveals key cellular processes for maximizing isoprenol production inScience advances · 2025Article
- Minimal cut sets in metabolic networks: from conceptual foundations to applications in metabolic engineering and biomedicine.Briefings in bioinformatics · 2025Review
- Addressing genome scale design tradeoffs in Pseudomonas putida for bioconversion of an aromatic carbon source.NPJ systems biology and applications · 2025Article
- ECMpy 2.0: A Python package for automated construction and analysis of enzyme-constrained models.Synthetic and systems biotechnology · 2024Article
- Examining organic acid production potential and growth-coupled strategies in Issatchenkia orientalis using constraint-based modeling.Biotechnology progress · 2022Article
- Strain design optimization using reinforcement learning.PLoS computational biology · 2022Article
- OptDesign: Identifying Optimum Design Strategies in Strain Engineering for Biochemical Production.ACS synthetic biology · 2022Article
- Quantitative metabolic fluxes regulated by trans-omic networks.The Biochemical journal · 2022Review
- GeneReg: a constraint-based approach for design of feasible metabolic engineering strategies at the gene level.Bioinformatics (Oxford, England) · 2021Article
- Error propagation in constraint-based modeling of Chinese hamster ovary cells.Biotechnology journal · 2021Article
- Proteome Regulation Patterns Determine Escherichia coli Wild-Type and Mutant Phenotypes.mSystems · 2021Article
- Modelling microbial communities: Harnessing consortia for biotechnological applications.Computational and structural biotechnology journal · 2021Review
- A Brief Journey into the History of and Future Sources and Uses of Fatty Acids.Frontiers in nutrition · 2021Review
- Metabolically engineered recombinantMetabolic engineering communications · 2020Article
- Genome-scale metabolic rewiring improves titers rates and yields of the non-native product indigoidine at scale.Nature communications · 2020Article
- An extended and generalized framework for the calculation of metabolic intervention strategies based on minimal cut sets.PLoS computational biology · 2020Article
- NIHBA: a network interdiction approach for metabolic engineering design.Bioinformatics (Oxford, England) · 2020Article
- MOMO - multi-objective metabolic mixed integer optimization: application to yeast strain engineering.BMC bioinformatics · 2020Article
- Automatic construction of metabolic models with enzyme constraints.BMC bioinformatics · 2020Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Shifting from chemical to biotechnological processes is one of the cornerstones of 21st century industry. The production of a great range of chemicals via biotechnological means is a key challenge on the way toward a bio-based economy. However, this shift is occurring at a pace slower than initially expected. The development of efficient cell factories that allow for competitive production yields is of paramount importance for this leap to happen. Constraint-based models of metabolism, together with in silico strain design algorithms, promise to reveal insights into the best genetic design strategies, a step further toward achieving that goal. In this work, a thorough analysis of the main in silico constraint-based strain design strategies and algorithms is presented, their application in real-world case studies is analyzed, and a path for the future is discussed.
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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.