2013
DOI: 10.1371/journal.pone.0078085
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AfroDb: A Select Highly Potent and Diverse Natural Product Library from African Medicinal Plants

Abstract: Computer-aided drug design (CADD) often involves virtual screening (VS) of large compound datasets and the availability of such is vital for drug discovery protocols. We assess the bioactivity and “drug-likeness” of a relatively small but structurally diverse dataset (containing >1,000 compounds) from African medicinal plants, which have been tested and proven a wide range of biological activities. The geographical regions of collection of the medicinal plants cover the entire continent of Africa, based on dat… Show more

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Cited by 181 publications
(141 citation statements)
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“…Sketching of the 3D structures of the compounds was done using the builder module of the MOE software (CCG, Montreal). Energy minimisation was subsequently carried out using a previously described protocol [3539], using the MMFF94 forcefield [40], reaching a gradient of 0.01 kcal/mol. The energy minimized structures were then saved (in mol2 format).…”
Section: Experimental Pharmacokinetic Profilingmentioning
confidence: 99%
“…Sketching of the 3D structures of the compounds was done using the builder module of the MOE software (CCG, Montreal). Energy minimisation was subsequently carried out using a previously described protocol [3539], using the MMFF94 forcefield [40], reaching a gradient of 0.01 kcal/mol. The energy minimized structures were then saved (in mol2 format).…”
Section: Experimental Pharmacokinetic Profilingmentioning
confidence: 99%
“…It was further shown that the compound had some suppressive effect on egg-laying capacity in a dose-dependence manner. 132 Elaeodendron schlechteranum (Celastraceae) is the source of tingenin B or 22β-hydroxytingenone (54). 133 This compound has displayed a broad range of activities e.g.…”
Section: Triterpenoidsmentioning
confidence: 99%
“…[39][40][41][42][43][44][45][46][47][48] The criteria for choosing a particular natural product for studies are either based on the pre-existing traditional use of the source species in therapy (ethnobotanical knowledge) or the search for structurally related molecules with known pharmacologically active agents from chemical databases. [49][50][51][52][53][54] The African continent is highly diverse ethnobotanically. This might explain why about 80% of the population tends to rely on medicinal plants as a primary source of healthcare.…”
Section: Introductionmentioning
confidence: 99%
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“…Interestingly, within last four to five years, a huge number of public repositories have been established for medicinal plants and their derived phytochemicals. The list includes, but is not limited to MPD3 [21], Phytochemica [22], SerpentinaDB [23], FERN Ethnomedicinal Plant Database [24], Naturally Occurring Plant-based Anti-Cancer Compound-Activity-Target Database (NPACT) [25], SuperNatural [26], Herb Ingredients' Targets (HIT) [27], Cancer Resource-dataset of compound-target interactions [13], Traditional Chinese medicine database (TCMD) [28], China natural products database (CNPD) [29], Chinese herb constituents database (CHCD) [30], Bioactive plant compounds database (BPCD) [30], Nuclei of Bioassays, Ecophysiology and Biosynthesis of Natural Products Database (NuBBEDB) [31,32], Northern African Natural Products Database (NANPDB) [33], Highly potent and diverse natural product library from African medicinal plants (AfroDb) [34], Molecular modeling of potential anticancer agents from African medicinal plants (AfroCancer) [35], Database of Volatile Organic Compounds in Cancer (VOCC) [36], and Nutrient Use Efficiency (NtUE) Web-Resource [37]. However, a similar comprehensive database for Uttarakhand medicinal plants is still not available despite a recent database development by the ENVIS center on Forestry with very limited scope and information.…”
Section: Introductionmentioning
confidence: 99%