ArticlePLoS computational biology2022
Evolution of tunnels in α/β-hydrolase fold proteins-What can we learn from studying epoxide hydrolases?
Article in PLoS computational biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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8 citing papers in PubMed.
- Structural and functional characterisation of a reconstructed ancestral strigolactone receptor.The Plant journal : for cell and molecular biology · 2026Article
- Identification of novel metagenomic lipases through integrated structural and sequence-based analysis.PeerJ · 2026Article
- The Alpha/Beta-Hydrolase Fold Superfamily inInternational journal of molecular sciences · 2025Article
- Water will Find Its Way: Transport through Narrow Tunnels in Hydrolases.Journal of chemical information and modeling · 2024Article
- Structural analysis of a hormone-bound Striga strigolactone receptor.Nature plants · 2023Article
- Geometry-Based versus Small-Molecule Tracking Method for Tunnel Identification: Benefits and Pitfalls.Journal of chemical information and modeling · 2022Article
- Making Enzymes Suitable for Organic Chemistry by Rational Protein Design.Chembiochem : a European journal of chemical biology · 2022Review
- Structure-function relationship between soluble epoxide hydrolases structure and their tunnel network.Computational and structural biotechnology journal · 2022Article
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8 authors.
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Abstract
The evolutionary variability of a protein's residues is highly dependent on protein region and function. Solvent-exposed residues, excluding those at interaction interfaces, are more variable than buried residues whereas active site residues are considered to be conserved. The abovementioned rules apply also to α/β-hydrolase fold proteins-one of the oldest and the biggest superfamily of enzymes with buried active sites equipped with tunnels linking the reaction site with the exterior. We selected soluble epoxide hydrolases as representative of this family to conduct the first systematic study on the evolution of tunnels. We hypothesised that tunnels are lined by mostly conserved residues, and are equipped with a number of specific variable residues that are able to respond to evolutionary pressure. The hypothesis was confirmed, and we suggested a general and detailed way of the tunnels' evolution analysis based on entropy values calculated for tunnels' residues. We also found three different cases of entropy distribution among tunnel-lining residues. These observations can be applied for protein reengineering mimicking the natural evolution process. We propose a 'perforation' mechanism for new tunnels design via the merging of internal cavities or protein surface perforation. Based on the literature data, such a strategy of new tunnel design could significantly improve the enzyme's performance and can be applied widely for enzymes with buried active sites.
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