Bioinformatics Analysis of GGPPS Proteins in Medicinal Plant

Bioinformatics Analysis of GGPPS Proteins in Medicinal Plant

Bioinformatics analysis of GGPPS proteins in medicinal plants.

Geranylgeranyl pyrophosphate synthase (GGPPS) is a member of the terpene synthase family, whose primary function is to catalyze the synthesis of geranylgeranyl pyrophosphate (GGPP) from three molecules of IPP and one molecule of DMAPP. GGPP is an essential precursor of compounds essential for plant growth and development and is capable of synthesizing a variety of structurally diverse metabolites in plants, including gibberellins, carotenoids, and chlorophylls. Bioinformatics analysis of GGPPS help to study the biological functions of GGPPS proteins in medicinal plants.

Lifeasible's experienced analysis team can provide bioinformatics analysis services for GGPPS proteins of medicinal plants based on protein amino acid sequences, including functional, structural domain analysis and protein multi-level structure analysis, to help achieve genetic improvement of medicinal plant species and improve the yield of medicinal herbs.

What We Offer

  • Physicochemical Properties and Subcellular Localization of GGPPS in Medicinal Plants

Due to the spatial specificity of the biosynthesis of plant terpene components, subcellular localization of GGPPS proteins can help to understand their function speculatively. We typically use ProtParam and Psort to predict the physicochemical properties and subcellular localization of plant GGPPS amino acid sequences.

  • Analysis of the Hydrophobicity of GGPPS in Medicinal Plants

We use ProtScale to predict and analyze the hydrophobicity of the amino acid sequence of GGPPS in medicinal plants.

  • Analysis of the Transmembrane Structural Domains of GGPPS in Medicinal Plants

We use ProtScale to predict and analyze the transmembrane structural domains of the GGPPS proteins of medicinal plants.

  • Functional Domain Analysis of GGPPS in Medicinal Plants

We have used ProtScale to predict and analyze the functional, and structural domains of the GGPPS proteins of medicinal plants and to speculate on the sites of compound binding catalysis.

  • Signal Peptide Analysis of GGPPS in Medicinal Plants

Signal peptides of GGPPS proteins from medicinal plants were predicted and analyzed by Signal P, SOPMA, and WebLogo to identify and analyze whether they are secreted proteins.

  • Secondary and Tertiary Structure Analysis of GGPPS in Medicinal Plants

The secondary structure analysis of GGPPS protein using the SOPMA method can obtain the proportion of α-helix (H), β--fold (E), and irregular coiled (C) in the secondary structure. Using SWISS-MODEL to predict the three-dimensional structure of GGPPS in medicinal plants.

  • Conserved Sequence Analysis of GGPPS in Medicinal Plants

Prediction and analysis of the conservation of GGPPS proteins in medicinal plants using WebLogo.

  • Homology and Phylogenetic Analysis of GPPS in Medicinal Plants

The amino acid sequences of GGPPS are compared with Blast P to select sequences with high homology. The software MEGA 11.0 is used to compare these GGPPS amino acid sequences in multiple sequences and construct an NJ evolutionary tree based on the complete amino acid sequences to indicate kinship and genetic distance effectively.

Amino Acid Profile of Common Medicinal Plants GGPPS

Scientific Name Login Number
Catharanthus roseus CAA63486.1
Gentiana rigescens AHK06853.1
Chrysanthemum indicum L var. boreale AGU91431.1
Conyza blinii Levl. BAB82463.1
Gentiana lutea BAB82463.1
Sinapis alba CAA67330.1
Rehmannia glutinosa AMK51092.1
Croton sublyratus BAA86284.1
Scoparia dulcis BAA86285.1
Arabidopsis thaliana AAA32797.1
Panax notoginseng AIK21792.1
Tripterygium wilfordii AKU77012.1
Salvia miltiorrhiza AFY26193.1
Salvia miltiorrhiza ACR19637.1
Ginkgo biloba AAQ72786.1

Applications

  • Analysis of the affinities of medicinal plants.
  • To guide the genetic improvement of medicinal plant species.
  • Guides research on the metabolic pathways of active pharmaceutical ingredients.
  • Contribute to the study of the mechanisms of trait formation in medicinal plants.

How to Place an Order

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Lifeasible has been dedicated to providing customizable bioinformatics analysis of GGPPS in medicinal plants for many years. Please feel free to contact us with your questions, needs, or collaborations.

Our products/services are For Research Use Only. Not For Clinical Use!
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