ReviewBiophysical reviews2025
How enzyme functions evolve: genetic, structural, and kinetic perspectives.
Review in Biophysical reviews, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed.
- NUDX gene family identification and its potential role in carotenoid biosynthesis of carrot.Biotechnology letters · 2026Article
- Structural insights into urocanate reductase using room-temperature X-ray crystallography.Acta crystallographica. Section D, Structural biology · 2026Article
- Factors controlling protein evolvability-at the molecular scale.European biophysics journal : EBJ · 2026Article
- Evolutionary mechanisms underlying bacterial adaptation to the plant environment.FEMS microbiology reviews · 2026Review
- Multifaceted Small Molecules as Enzyme Modulators: Cases of Drug Discovery/Repurposing Illustrating Nature's Pragmatism.BioMed research international · 2026Review
- Biophysical reviews (ISSUE 2 2025): LAFeBS, alive, kicking, and growing: the story continues...Biophysical reviews · 2025Article
- Sulforaphane in cancer precision medicine: from biosynthetic origins to multiscale mechanisms and clinical translation.Frontiers in immunology · 2025Review
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Authors and funding
6 authors.
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Abstract
Understanding the emergence or loss of enzyme functions comprises several approaches, such as genetic, structural, and kinetic studies. Promiscuous enzyme activities have been proposed as starting points for the emergence of novel enzyme functions, for example, through genetic models such as neofunctionalization and subfunctionalization. In both cases, neutral evolution would fix gene redundancy, critical in relaxing functional constraints and allowing specific mutations to drive innovation. The evolution of enzyme activities has a structural basis, with genetic mutations modifying the active site architecture, conformational dynamics, or interaction networks, which leads to the creation, enhancement, or restriction of enzyme functions where epistatic interactions are crucial. These structural changes impact the described kinetic mechanisms like ground-state stabilization (affinity), transition-state stabilization (catalysis), or a combination of both. Case studies across diverse enzyme families illustrate these principles, emphasizing the interplay between genetic, structural, and kinetic approaches. Finally, we discuss the importance of understanding evolutionary mechanisms and their impact on protein engineering and drug design for biomedical and industrial applications. However, these studies highlight that further experimental evolutionary data collection is necessary to enable the training of advanced machine learning models for use in biotechnological applications.
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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.