ArticleIntegrative biology : quantitative biosciences from nano to macro2018
Protein structure networks provide insight into active site flexibility in esterase/lipases from the carnivorous plant Drosera capensis.
Article in Integrative biology : quantitative biosciences from nano to macro, 2018. 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, 14 citations in OpenAlex.
- Jasmonate signaling and prey nutrient availability trigger distinct biochemical responses in the Drosera capensis feeding cycle.Plant physiology · 2026Article
- Comparative Modeling and Analysis of Extremophilic D-Ala-D-Ala Carboxypeptidases.Biomolecules · 2023Article
- Mutation Effects on Structure and Dynamics: Adaptive Evolution of the SARS-CoV-2 Main Protease.Biochemistry · 2023Article
- An Overview into Polyethylene Terephthalate (PET) Hydrolases and Efforts in Tailoring Enzymes for Improved Plastic Degradation.International journal of molecular sciences · 2022Review
- Neural Upscaling from Residue-Level Protein Structure Networks to Atomistic Structures.Biomolecules · 2021Article
- Sequence Characterization and Molecular Modeling of Clinically Relevant Variants of the SARS-CoV-2 Main Protease.Biochemistry · 2020Article
- The Droserasin 1 PSI: A Membrane-Interacting Antimicrobial Peptide from the Carnivorous PlantBiomolecules · 2020Article
- Comparative Exploratory Analysis of Intrinsically Disordered Protein Dynamics Using Machine Learning and Network Analytic Methods.Frontiers in molecular biosciences · 2019Article
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Authors and funding
6 authors at 1 institution in 2 countries.
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Abstract
In plants, esterase/lipases perform transesterification reactions, playing an important role in the synthesis of useful molecules, such as those comprising the waxy coatings of leaf surfaces. Plant genomes and transcriptomes have provided a wealth of data about expression patterns and the circumstances under which these enzymes are upregulated, e.g. pathogen defense and response to drought; however, predicting their functional characteristics from genomic or transcriptome data is challenging due to weak sequence conservation among the diverse members of this group. Although functional sequence blocks mediating enzyme activity have been identified, progress to date has been hampered by the paucity of information on the structural relationships among these regions and how they affect substrate specificity. Here we present methodology for predicting overall protein flexibility and active site flexibility based on molecular modeling and analysis of protein structure networks (PSNs). We define two new types of specialized PSNs: sequence region networks (SRNs) and active site networks (ASNs), which provide parsimonious representations of molecular structure in reference to known features of interest. Our approach, intended as an aid to target selection for poorly characterized enzyme classes, is demonstrated for 26 previously uncharacterized esterase/lipases from the genome of the carnivorous plant Drosera capensis and validated using a case/control design. Analysis of the network relationships among functional blocks and among the chemical moieties making up the catalytic triad reveals potentially functionally significant differences that are not apparent from sequence analysis alone.
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