ReviewFrontiers in bioengineering and biotechnology2015
Conserved Functional Motifs and Homology Modeling to Predict Hidden Moonlighting Functional Sites.
Review in Frontiers in bioengineering and biotechnology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.
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Who cites it
41 citing papers in PubMed, 79 citations in OpenAlex.
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- Functions and Synthesis of Abscisic Acid (ABA) in Humans-Insights from Computational Approaches.International journal of molecular sciences · 2025Review
- Guanylate cyclase activity in moss: revisiting the role of ERECTA-like receptors.Physiology and molecular biology of plants : an international journal of functional plant biology · 2025Article
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- Moonlighting Crypto-Enzymes and Domains as Ancient and Versatile Signaling Devices.International journal of molecular sciences · 2024Review
- Emerging functions of pseudoenzymes.The Biochemical journal · 2023Review
- The discovery of hidden guanylate cyclases (GCs) in theComputational and structural biotechnology journal · 2023Article
- Amino acid motifs for the identification of novel protein interactants.Computational and structural biotechnology journal · 2023Review
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- BdGUCD1 and Cyclic GMP Are Required for Responses ofInternational journal of molecular sciences · 2022Article
- Modulation of Inflammatory Cytokine Production in Human Monocytes by cGMP and IRAK3.International journal of molecular sciences · 2022Article
- Genome-Wide Identification and Expression Profiling ofFrontiers in plant science · 2022Article
- Comprehensive Genome-Wide Identification and Expression Profiling ofFrontiers in plant science · 2022Article
- A NovelBiology · 2021Article
- Pathogen Moonlighting Proteins: From Ancestral Key Metabolic Enzymes to Virulence Factors.Microorganisms · 2021Article
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- Molecular characterization of Fe-acquisition genes causing decreased Fe uptake and photosynthetic inefficiency in Fe-deficient sunflower.Scientific reports · 2021Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Moonlighting functional centers within proteins can provide them with hitherto unrecognized functions. Here, we review how hidden moonlighting functional centers, which we define as binding sites that have catalytic activity or regulate protein function in a novel manner, can be identified using targeted bioinformatic searches. Functional motifs used in such searches include amino acid residues that are conserved across species and many of which have been assigned functional roles based on experimental evidence. Molecules that were identified in this manner seeking cyclic mononucleotide cyclases in plants are used as examples. The strength of this computational approach is enhanced when good homology models can be developed to test the functionality of the predicted centers in silico, which, in turn, increases confidence in the ability of the identified candidates to perform the predicted functions. Computational characterization of moonlighting functional centers is not diagnostic for catalysis but serves as a rapid screening method, and highlights testable targets from a potentially large pool of candidates for subsequent in vitro and in vivo experiments required to confirm the functionality of the predicted moonlighting centers.
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