Useful Methods for Targeted Plant Selection in the Discovery of Potential New Drug Candidates

Schwikkard, Sianne; Mulholland, Dulcie A.

doi:10.1055/s-0034-1368549

Cited by 7 publications

(7 citation statements)

References 55 publications

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“…10 to 100 species per genus), which might contribute to their prevalence in phytochemical and ethnobotanical research. Widespread, species-rich, and herbaceous taxa are often found to contain bioactive compounds, as larger geographical and wider ecological ranges potentially allow for more opportunities for adaptation to different conditions (57)(58)(59), as well as easier access for researchers. In contrast, four additional "hot clades" are recovered in the native-only data: Menispermaceae (clade 7), Polygonaceae (clade 8), Molluginaceae (clade 9), and Cornaceae (clade 10; SI Appendix, Fig.…”

Section: Resultsmentioning

confidence: 99%

Evaluation of plant sources for antiinfective lead compound discovery by correlating phylogenetic, spatial, and bioactivity data

Holzmeyer

Hartig

Franke

et al. 2020

Proc. Natl. Acad. Sci. U.S.A.

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Antibiotic resistance and viral diseases are rising around the world and are becoming major threats to global health, food security, and development. One measure that has been suggested to mitigate this crisis is the development of new antibiotics. Here, we provide a comprehensive evaluation of the phylogenetic and biogeographic patterns of antiinfective compounds from seed plants in one of the most species-rich regions on Earth and identify clades with naturally occurring substances potentially suitable for the development of new pharmaceutical compounds. Specifically, we combine taxonomic and phylogenetic data for >7,500 seed plant species from the flora of Java with >16,500 secondary metabolites and 6,255 georeferenced occurrence records to 1) identify clades in the phylogeny that are characterized by either an overrepresentation (“hot clades”) or an underrepresentation (“cold clades”) of antiinfective compounds and 2) assess the spatial patterns of plants with antiinfective compounds relative to total plant diversity across the region. Across the flora of Java, we identify 26 “hot clades” with plant species providing a high probability of finding antibiotic constituents. In addition, 24 “cold clades” constitute lineages with low numbers of reported activities but which have the potential to yield novel compounds. Spatial patterns of plant species and metabolite diversity are strongly correlated across Java, indicating that regions of highest species diversity afford the highest potential to discover novel natural products. Our results indicate that the combination of phylogenetic, spatial, and phytochemical information is a useful tool to guide the selection of taxa for efforts aimed at lead compound discovery.

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Section: Resultsmentioning

confidence: 99%

Evaluation of plant sources for antiinfective lead compound discovery by correlating phylogenetic, spatial, and bioactivity data

Holzmeyer

Hartig

Franke

et al. 2020

Proc. Natl. Acad. Sci. U.S.A.

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“…First and foremost stage is required to evaluate the existing ethnomedicinal studies, chemotaxonomical data regarding a particular medicinal plant, information collected from different historic documents, traditional knowledge from even local quacks and specialists [14,37]. Bioactive Molecules Profile from Natural Compounds http://dx.doi.org/10.5772/intechopen.68643…”

Section: Selection Of Plant Speciesmentioning

confidence: 99%

“…(a) Procurement of botanic component only from sources with guaranteed good agriculture and collection practices. An essential step demand to investigate a possible microbial, pesticide or heavy metals contaminations to avoid adversely affect the results of the chemical screening of bioactive metabolites, increased the time and cost of studies [18,36,37]. Table 3 presents the main analytical techniques used to detect a possible plant contamination.…”

Section: Collection and Identification Of Plant Speciesmentioning

confidence: 99%

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Bioactive Molecules Profile from Natural Compounds

Segneanu¹,

Velciov²,

Olariu³

et al. 2017

Amino Acid - New Insights and Roles in Plant and Animal

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Currently, wide world research is focused on sustainable development and the demand for innovative clean technologies, nevertheless natural potential reconsideration could represent a viable solution for the identification and design of new pharmacological agents from renewable resources. The main reason consists of special properties of these natural derivates: immunomodulating activity with continuously perfectible selectivity and efficiency. Plants and herb extracts have been used for centuries as traditional medicines, throughout the entire world. Romanian phytotherapy represents practically a very important part of our traditional knowledge and heritage. Therapeutic properties of plant active principles still continue to be the subject of many researches. In this chapter, an overview of plant bioactive molecules from the perspective of modern phytochemistry is presented. A special part is devoted to a very special medicinal plant, Viscum album, in particular identification of amino acids and thionins from mistletoe.

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“…Few of these endemic plants have undergone comprehensive evaluation for novel drug leads, although many have uses in indigenous Maori culture. This historic use can be a valuable tool (Atanasov et al 2015;Gu et al 2014;Gyllenhaal et al 2012;Schwikkard & Mulholland 2014;Sucher 2013), however ethnographic information needs to be rigorously evaluated (Albuquerque et al 2014).…”

Section: Introductionmentioning

confidence: 99%

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Supplemental Information 1: @Risk Model for Monte Carlo Simulation

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Background. Natural product libraries are important tools for drug discovery. However, until now, there has not been a system to allow projections of the potential number of hits from creating these libraries. The objective of this study was to develop a stochastic model system that predicts the number of hits from creating a natural product library. Methods. A Monte Carlo simulation was developed with data from the peer-reviewed literature. Using types of endemic New Zealand terrestrial flora as examples, the number of antibacterial hits expected from creating natural product libraries were calculated. Results. The model predicts the following bounds for the 90% range of validated antibiotic leads for the categories of the terrestrial endemic flora of New Zealand with a right skewed

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Useful Methods for Targeted Plant Selection in the Discovery of Potential New Drug Candidates

Cited by 7 publications

References 55 publications

Evaluation of plant sources for antiinfective lead compound discovery by correlating phylogenetic, spatial, and bioactivity data

Evaluation of plant sources for antiinfective lead compound discovery by correlating phylogenetic, spatial, and bioactivity data

Bioactive Molecules Profile from Natural Compounds

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