ArticleACS synthetic biology2023
A Genetic Programming Approach to Engineering MRI Reporter Genes.
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 17 papers.
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Who cites it
17 citing papers in PubMed.
- Machine Learning-Based Development of Gadolinium Binding Peptides.NMR in biomedicine · 2026Article
- Optimization of CEST MRI Reporter Protein Design Using Cation-Pi Networks.Chemistry (Weinheim an der Bergstrasse, Germany) · 2026Article
- Gadolinium Pollution-A Future Forward Perspective on Human and Environmental Impact.Magnetic resonance in medicine · 2026Review
- Quantitative multi-metabolite imaging of Parkinson's disease using AI boosted molecular MRI.Npj imaging · 2025Article
- Machine learning-based development of Gadolinium binding peptides.bioRxiv : the preprint server for biology · 2025Article
- Multi-contrast generation and quantitative MRI using a transformer-based framework with RF excitation embeddings.Communications biology · 2025Article
- Noninvasive Imaging of Transgene Expression in Neurons Using Chemical Exchange Saturation Transfer MRI.NMR in biomedicine · 2025Article
- A Dual-Gene Reporter-Amplifier Architecture for Enhancing the Sensitivity of Molecular MRI by Water Exchange.Chembiochem : a European journal of chemical biology · 2024Article
- Engineering water exchange is a safe and effective method for magnetic resonance imaging in diverse cell types.Journal of biological engineering · 2024Article
- Molecules, Up Your Spins!Molecules (Basel, Switzerland) · 2024Article
- Computational peptide discovery with a genetic programming approach.Journal of computer-aided molecular design · 2024Article
- A dual-gene reporter-amplifier architecture for enhancing the sensitivity of molecular MRI by water exchange.bioRxiv : the preprint server for biology · 2024Article
- Engineering water exchange is a safe and effective method for magnetic resonance imaging in diverse cell types.bioRxiv : the preprint server for biology · 2023Article
- Development of a synthetic biosensor for chemical exchange MRI utilizing in silico optimized peptides.NMR in biomedicine · 2023Article
- Molecular Imaging with Aquaporin-Based Reporter Genes: Quantitative Considerations from Monte Carlo Diffusion Simulations.ACS synthetic biology · 2023Article
- Computational Peptide Discovery with a Genetic Programming Approach.Research square · 2023Article
- Molecular imaging with aquaporin-based reporter genes: quantitative considerations from Monte Carlo diffusion simulations.bioRxiv : the preprint server for biology · 2023Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
Here we develop a mechanism of protein optimization using a computational approach known as "genetic programming". We developed an algorithm called Protein Optimization Engineering Tool (POET). Starting from a small library of literature values, the use of this tool allowed us to develop proteins that produce four times more MRI contrast than what was previously state-of-the-art. Interestingly, many of the peptides produced using POET were dramatically different with respect to their sequence and chemical environment than existing CEST producing peptides, and challenge prior understandings of how those peptides function. While existing algorithms for protein engineering rely on divergent evolution, POET relies on convergent evolution and consequently allows discovery of peptides with completely different sequences that perform the same function with as good or even better efficiency. Thus, this novel approach can be expanded beyond developing imaging agents and can be used widely in protein engineering.
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Registered trials
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