ReviewCurrent opinion in chemical biology2011
Optimizing non-natural protein function with directed evolution.
Review in Current opinion in chemical biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
72 citing papers in PubMed.
- An Automated Electrochemistry Platform for Accelerating the Characterization of Enzymatic Electrochemistry.ACS electrochemistry · 2026Article
- Stereoselective Photoenzymatic Hydroarylation for the Construction of Quaternary Stereocenters.Journal of the American Chemical Society · 2025Article
- T7 RNA polymerase-guided base editor for accelerated continuous evolution inSynthetic and systems biotechnology · 2025Article
- Sequence-only prediction of binding affinity changes: a robust and interpretable model for antibody engineering.Bioinformatics (Oxford, England) · 2025Article
- Article
- Transition Path Sampling Based Free Energy Calculations of Evolution's Effect on Rates in β-Lactamase: The Contributions of Rapid Protein Dynamics to Rate.The journal of physical chemistry. B · 2024Article
- AttABseq: an attention-based deep learning prediction method for antigen-antibody binding affinity changes based on protein sequences.Briefings in bioinformatics · 2024Article
- Combinatorially restricted computational design of protein-protein interfaces to produce IgG heterodimers.Science advances · 2024Article
- Fishing for Catalysis: Experimental Approaches to Narrowing Search Space in Directed Evolution of Enzymes.JACS Au · 2023Review
- Prediction of Enzyme Catalysis by Computing Reaction Energy Barriers via Steered QM/MM Molecular Dynamics Simulations and Machine Learning.Journal of chemical information and modeling · 2023Article
- Progresses in Cell-Free In Vitro Evolution.Advances in biochemical engineering/biotechnology · 2023Review
- Chemigenetic indicators based on synthetic chelators and green fluorescent protein.Nature chemical biology · 2023Article
- Oxygenating Biocatalysts for Hydroxyl Functionalisation in Drug Discovery and Development.ChemMedChem · 2022Review
- Reprogramming natural proteins using unnatural amino acids.RSC advances · 2021Review
- Controlled Ligand Exchange Between Ruthenium Organometallic Cofactor Precursors and a Naïve Protein Scaffold Generates Artificial Metalloenzymes Catalysing Transfer Hydrogenation.Angewandte Chemie (International ed. in English) · 2021Article
- Ribose-Binding Protein Mutants With Improved Interaction Towards the Non-natural Ligand 1,3-Cyclohexanediol.Frontiers in bioengineering and biotechnology · 2021Article
- Multicomponent Bioluminescence Imaging with a π-Extended Luciferin.Journal of the American Chemical Society · 2020Article
- Broadening the scope of biocatalytic C-C bond formation.Nature reviews. Chemistry · 2020Article
- Promiscuous Ribozymes and Their Proposed Role in Prebiotic Evolution.Chemical reviews · 2020Review
- Computer simulations explain mutation-induced effects on the DNA editing by adenine base editors.Science advances · 2020Article
12 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Developing technologies such as unnatural amino acid mutagenesis, non-natural cofactor engineering, and computational design are generating proteins with novel functions; these proteins, however, often do not reach performance targets and would benefit from further optimization. Evolutionary methods can complement these approaches: recent work combining unnatural amino acid mutagenesis and phage selection has created useful proteins of novel composition. Weak initial activity in a computationally designed enzyme has been improved by iterative rounds of mutagenesis and screening. A marriage of ingenuity and evolution will expand the scope of protein function well beyond Mother Nature's designs.
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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.