DIACAN: Integrated Database for Antidiabetic and Anticancer Medicinal Plants

James, Priyanka; Mathai, Vipin Anithottam; Shajikumar, Silpa; Pereppadan, Priya Antony; Sudha, Parvathi; Keshavachandran, R.; Nazeem, P.

doi:10.6026/97320630009941

Cited by 7 publications

(2 citation statements)

References 5 publications

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“…Plants were stored using their scientific name in Latin, whereas therapeutic uses were mapped to their corresponding disease identifier in ICD-10 (International Classification of Diseases Version 10). This initial database was complemented with additional therapeutic uses found for those plants in other public sources (Raja et al, 1997; Rigat et al, 2007; James et al, 2013). Data from the different sources was integrated using Latin names for plants and ICD-10 identifiers for diseases from 18 categories.…”

Section: Methodsmentioning

confidence: 99%

“…This is schematically illustrated in Figure 1 . A number of publicly available well annotated databases on medicinal plants in use in different regions of the planet exist already (Chen, 2011; James et al, 2013; Ntie-Kang et al, 2013; Tota et al, 2013; Pathania et al, 2015; Mohanraj et al, 2018). Once data connecting the different aspects of ethnopharmacological relevance are known, the circle is closed and mechanistic hypotheses emerge naturally.…”

Section: Introductionmentioning

confidence: 99%

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Closing the Gap Between Therapeutic Use and Mode of Action in Remedial Herbs

Olivés

Mestres

2019

Front. Pharmacol.

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The ancient tradition of taking parts of a plant or preparing plant extracts for treating certain discomforts and maladies has long been lacking a scientific rationale to support its preparation and still widespread use in several parts of the world. In an attempt to address this challenge, we collected and integrated data connecting metabolites, plants, diseases, and proteins. A mechanistic hypothesis is generated when a metabolite is known to be present in a given plant, that plant is known to be used to treat a certain disease, that disease is known to be linked to the function of a given protein, and that protein is finally known or predicted to interact with the original metabolite. The construction of plant–protein networks from mutually connected metabolites and diseases facilitated the identification of plausible mechanisms of action for plants being used to treat analgesia, hypercholesterolemia, diarrhea, catarrh, and cough. Additional concrete examples using both experimentally known and computationally predicted, and subsequently experimentally confirmed, metabolite–protein interactions to close the connection circle between metabolites, plants, diseases, and proteins offered further proof of concept for the validity and scope of the approach to generate mode of action hypotheses for some of the therapeutic uses of remedial herbs.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Closing the Gap Between Therapeutic Use and Mode of Action in Remedial Herbs

Olivés

Mestres

2019

Front. Pharmacol.

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A review on network pharmacology based phytotherapy in treating diabetes- An environmental perspective

Venkateswaran

Vadivel

Jayabal

et al. 2021

Environmental Research

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Bioinformatics-assisted, integrated omics studies on medicinal plants

Meng

Wang

et al. 2019

Briefings in Bioinformatics

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The immense therapeutic and economic values of medicinal plants have attracted increasing attention from the worldwide researchers. It has been recognized that production of the authentic and high-quality herbal drugs became the prerequisite for maintaining the healthy development of the traditional medicine industry. To this end, intensive research efforts have been devoted to the basic studies, in order to pave a way for standardized authentication of the plant materials, and bioengineering of the metabolic pathways in the medicinal plants. In this paper, the recent advances of omics studies on the medicinal plants were summarized from several aspects, including phenomics and taxonomics, genomics, transcriptomics, proteomics and metabolomics. We proposed a multi-omics data-based workflow for medicinal plant research. It was emphasized that integration of the omics data was important for plant authentication and mechanistic studies on plant metabolism. Additionally, the computational tools for proper storage, efficient processing and high-throughput analyses of the omics data have been introduced into the workflow. According to the workflow, authentication of the medicinal plant materials should not only be performed at the phenomics level but also be implemented by genomic and metabolomic marker-based examination. On the other hand, functional genomics studies, transcriptional regulatory networks and protein–protein interactions will contribute greatly for deciphering the secondary metabolic pathways. Finally, we hope that our work could inspire further efforts on the bioinformatics-assisted, integrated omics studies on the medicinal plants.

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DIACAN: Integrated Database for Antidiabetic and Anticancer Medicinal Plants

Cited by 7 publications

References 5 publications

Closing the Gap Between Therapeutic Use and Mode of Action in Remedial Herbs

Closing the Gap Between Therapeutic Use and Mode of Action in Remedial Herbs

A review on network pharmacology based phytotherapy in treating diabetes- An environmental perspective

Bioinformatics-assisted, integrated omics studies on medicinal plants

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