ArticleACS synthetic biology2023
Signal Peptide Efficiency: From High-Throughput Data to Prediction and Explanation.
Article in ACS synthetic biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Enhancing the Secretion Systems: Genetic Engineering of Super Bioagents for Effective Plant Disease Control.Biotechnology and bioengineering · 2026Review
- Exploration of Length and Hydrophobicity Requirements for Optimal α-Amylase Secretion in Bacillus subtilis Based on Rational Design.Microbial biotechnology · 2026Article
- UniSePT: an engineered broadly applicable Unique Secretory signal PepTide for high-yield biotherapeutic production in mammalian cell-based expression systems.Journal of biological engineering · 2026Article
- Metagenomic analysis of the fungal community present in unimpacted and oil-impacted soil, South Shetland Islands, maritime Antarctica.World journal of microbiology & biotechnology · 2026Article
- LdEP01, the first characterized Lycorma delicatula salivary effector protein modulates plant defenses.Molecular biology reports · 2025Article
- Machine learning-assisted rational design and evolution of novel signal peptides inSynthetic and systems biotechnology · 2025Article
- Bacterial Systems as a Precision Delivery Platform of Therapeutic Peptides for Cancer Therapy.Polymer science & technology (Washington, D.C.) · 2025Review
- Toward Antibody Production in Genome-MinimizedACS synthetic biology · 2025Article
- snoRNA-facilitated protein secretion revealed by transcriptome-wide snoRNA target identification.Cell · 2025Article
- Comprehensive Genomic and Proteomic Analysis Identifies Effectors ofJournal of fungi (Basel, Switzerland) · 2024Article
- Efficient Expression and Characterization of an Endo-Type Lyase HCLase_M28 and Its Gradual Scale-Up Fermentation for the Preparation of Chondroitin Sulfate Oligosaccharides.Applied biochemistry and biotechnology · 2024Article
- A bacteriocin expression platform for targeting pathogenic bacterial species.Nature communications · 2024Article
- N-Terminal Sequences of Signal Peptides Assuming Critical Roles in Expression of Heterologous Proteins inMicroorganisms · 2024Article
- Bacillus subtilis: current and future modification strategies as a protein secreting factory.World journal of microbiology & biotechnology · 2024Review
- From the outer space to the inner cell: deconvoluting the complexity ofMicrobiology spectrum · 2024Article
- Automation-aided construction and characterization ofFrontiers in bioengineering and biotechnology · 2024Article
- Let There Be Light: Genome Reduction EnablesACS synthetic biology · 2023Article
- Protein-Specific Signal Peptides for Mammalian Vector Engineering.ACS synthetic biology · 2023Article
- Refined control of CRISPR-Cas9 gene editing inFrontiers in immunology · 2023Article
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Authors and funding
10 authors.
Funding
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Abstract
The passage of proteins across biological membranes via the general secretory (Sec) pathway is a universally conserved process with critical functions in cell physiology and important industrial applications. Proteins are directed into the Sec pathway by a signal peptide at their N-terminus. Estimating the impact of physicochemical signal peptide features on protein secretion levels has not been achieved so far, partially due to the extreme sequence variability of signal peptides. To elucidate relevant features of the signal peptide sequence that influence secretion efficiency, an evaluation of ∼12,000 different designed signal peptides was performed using a novel miniaturized high-throughput assay. The results were used to train a machine learning model, and a post-hoc explanation of the model is provided. By describing each signal peptide with a selection of 156 physicochemical features, it is now possible to both quantify feature importance and predict the protein secretion levels directed by each signal peptide. Our analyses allow the detection and explanation of the relevant signal peptide features influencing the efficiency of protein secretion, generating a versatile tool for the de novo design and in silico evaluation of signal peptides.
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