ReviewJACS Au2024
Ancestral Sequence Reconstruction for Designing Biocatalysts and Investigating their Functional Mechanisms.
Review in JACS Au, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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.
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Who cites it
14 citing papers in PubMed.
- Next-Generation Manufacturing: The Evolving Role of Biocatalysis in AstraZeneca.Chembiochem : a European journal of chemical biology · 2026Review
- FireProtASR 2.0: evolution-guided Design of Protein Ancestors and Successors with phylogenetics and machine learning.Briefings in bioinformatics · 2026Article
- Cold Orthogonal Translation: A Psychrophilic Pyrrolysyl-tRNA Synthetase Boosts Genetic Code Expansion in E. coli.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Ancestral Protein Reconstruction Uncovers a Thermotolerant Rieske Oxygenase with EnhancedACS synthetic biology · 2026Article
- Integrative Structural Bioinformatics and Molecular Dynamics Analyses of Synaptic Vesicle Proteins and Their Water-Soluble QTY-Variants Reveal Membrane Constraints and Evolutionary Coupling of T ⇔ V.Journal of molecular evolution · 2026Article
- Ancestral Sequence Reconstruction for Novel Bifunctional Glutathione Synthetase with Enhanced Thermostability and Catalytic Efficiency.Foods (Basel, Switzerland) · 2026Article
- Integration of Point-of-Care Technology in the Decoding Process of Single Nucleotide Polymorphism for Healthcare ApplicationMicromachines · 2025Review
- Ancestral sequence reconstruction as a tool for structural analysis of modular polyketide synthases.Nature communications · 2025Article
- Exploring the Stability and Substrate Profile of Transaminase from Silicibacter pomeroyi with Ancestral Sequence Reconstruction.Chembiochem : a European journal of chemical biology · 2025Article
- How enzyme functions evolve: genetic, structural, and kinetic perspectives.Biophysical reviews · 2025Review
- Anticipating protein evolution with successor sequence predictor.Journal of cheminformatics · 2025Article
- Recent advances on protein engineering for improved stability.Biodesign research · 2025Review
- Engineering Dehalogenase Enzymes Using Variational Autoencoder-Generated Latent Spaces and Microfluidics.JACS Au · 2025Article
- Seven critical challenges in synthetic one-carbon assimilation and their potential solutions.FEMS microbiology reviews · 2025Review
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Biocatalysis has emerged as a green approach for efficient and sustainable production in various industries. In recent decades, numerous advancements in computational and predictive approaches, including ancestral sequence reconstruction (ASR) have sparked a new wave for protein engineers to improve and expand biocatalyst capabilities. ASR is an evolution-based strategy that uses phylogenetic relationships among homologous extant sequences to probabilistically infer the most likely ancestral sequences. It has proven to be a powerful tool with applications ranging from creating highly stable enzymes for direct applications to preparing moderately active robust protein scaffolds for further enzyme engineering. Intriguingly, it can also provide insights into fundamental aspects that are challenging to study with extant (current) enzymes. This Perspective discusses a practical strategy for guiding enzyme engineers on how to embrace ASR as a practical or associated protocol for protein engineering and highlights recent examples of using ASR in various applications, including increasing thermostability, expanding promiscuity, fine-tuning selectivity and function, and investigating mechanistic and evolution aspects. We believe that the use of the ASR approach will continue to contribute to the ongoing development of the biocatalysis field. We have been in a "golden era" for biocatalysis in which numerous useful enzymes have been developed through many waves of enzyme engineering via advancements in computational methodologies.
Identifiers
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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.