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In silico drug metabolism and pharmacokinetic profiles of natural products from medicinal plants in the Congo basin

PURPOSE: Drug metabolism and pharmacokinetics (DMPK) assessment has come to occupy a place of interest during the early stages of drug discovery today. The use of computer modelling to predict the DMPK and toxicity properties of a natural product library derived from medicinal plants from Central Af...

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Autores principales: Ntie-Kang, Fidele, Lifongo, Lydia L, Mbah, James A, Owono Owono, Luc C, Megnassan, Eugene, Mbaze, Luc Meva’a, Judson, Philip N, Sippl, Wolfgang, Efange, Simon M N
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4230438/
https://www.ncbi.nlm.nih.gov/pubmed/25505657
http://dx.doi.org/10.1186/2193-9616-1-12
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author Ntie-Kang, Fidele
Lifongo, Lydia L
Mbah, James A
Owono Owono, Luc C
Megnassan, Eugene
Mbaze, Luc Meva’a
Judson, Philip N
Sippl, Wolfgang
Efange, Simon M N
author_facet Ntie-Kang, Fidele
Lifongo, Lydia L
Mbah, James A
Owono Owono, Luc C
Megnassan, Eugene
Mbaze, Luc Meva’a
Judson, Philip N
Sippl, Wolfgang
Efange, Simon M N
author_sort Ntie-Kang, Fidele
collection PubMed
description PURPOSE: Drug metabolism and pharmacokinetics (DMPK) assessment has come to occupy a place of interest during the early stages of drug discovery today. The use of computer modelling to predict the DMPK and toxicity properties of a natural product library derived from medicinal plants from Central Africa (named ConMedNP). Material from some of the plant sources are currently employed in African Traditional Medicine. METHODS: Computer-based methods are slowly gaining ground in this area and are often used as preliminary criteria for the elimination of compounds likely to present uninteresting pharmacokinetic profiles and unacceptable levels of toxicity from the list of potential drug candidates, hence cutting down the cost of discovery of a drug. In the present study, we present an in silico assessment of the DMPK and toxicity profile of a natural product library containing ~3,200 compounds, derived from 379 species of medicinal plants from 10 countries in the Congo Basin forests and savannas, which have been published in the literature. In this analysis, we have used 46 computed physico-chemical properties or molecular descriptors to predict the absorption, distribution, metabolism and elimination and toxicity (ADMET) of the compounds. RESULTS: This survey demonstrated that about 45% of the compounds within the ConMedNP compound library are compliant, having properties which fall within the range of ADME properties of 95% of currently known drugs, while about 69% of the compounds have ≤ 2 violations. Moreover, about 73% of the compounds within the corresponding “drug-like” subset showed compliance. CONCLUSIONS: In addition to the verified levels of “drug-likeness”, diversity and the wide range of measured biological activities, the compounds from medicinal plants in Central Africa show interesting DMPK profiles and hence could represent an important starting point for hit/lead discovery. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/2193-9616-1-12) contains supplementary material, which is available to authorized users.
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spelling pubmed-42304382014-12-11 In silico drug metabolism and pharmacokinetic profiles of natural products from medicinal plants in the Congo basin Ntie-Kang, Fidele Lifongo, Lydia L Mbah, James A Owono Owono, Luc C Megnassan, Eugene Mbaze, Luc Meva’a Judson, Philip N Sippl, Wolfgang Efange, Simon M N In Silico Pharmacol Original Research PURPOSE: Drug metabolism and pharmacokinetics (DMPK) assessment has come to occupy a place of interest during the early stages of drug discovery today. The use of computer modelling to predict the DMPK and toxicity properties of a natural product library derived from medicinal plants from Central Africa (named ConMedNP). Material from some of the plant sources are currently employed in African Traditional Medicine. METHODS: Computer-based methods are slowly gaining ground in this area and are often used as preliminary criteria for the elimination of compounds likely to present uninteresting pharmacokinetic profiles and unacceptable levels of toxicity from the list of potential drug candidates, hence cutting down the cost of discovery of a drug. In the present study, we present an in silico assessment of the DMPK and toxicity profile of a natural product library containing ~3,200 compounds, derived from 379 species of medicinal plants from 10 countries in the Congo Basin forests and savannas, which have been published in the literature. In this analysis, we have used 46 computed physico-chemical properties or molecular descriptors to predict the absorption, distribution, metabolism and elimination and toxicity (ADMET) of the compounds. RESULTS: This survey demonstrated that about 45% of the compounds within the ConMedNP compound library are compliant, having properties which fall within the range of ADME properties of 95% of currently known drugs, while about 69% of the compounds have ≤ 2 violations. Moreover, about 73% of the compounds within the corresponding “drug-like” subset showed compliance. CONCLUSIONS: In addition to the verified levels of “drug-likeness”, diversity and the wide range of measured biological activities, the compounds from medicinal plants in Central Africa show interesting DMPK profiles and hence could represent an important starting point for hit/lead discovery. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/2193-9616-1-12) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2013-08-08 /pmc/articles/PMC4230438/ /pubmed/25505657 http://dx.doi.org/10.1186/2193-9616-1-12 Text en © Ntie-Kang et al.; licensee Springer. 2013 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research
Ntie-Kang, Fidele
Lifongo, Lydia L
Mbah, James A
Owono Owono, Luc C
Megnassan, Eugene
Mbaze, Luc Meva’a
Judson, Philip N
Sippl, Wolfgang
Efange, Simon M N
In silico drug metabolism and pharmacokinetic profiles of natural products from medicinal plants in the Congo basin
title In silico drug metabolism and pharmacokinetic profiles of natural products from medicinal plants in the Congo basin
title_full In silico drug metabolism and pharmacokinetic profiles of natural products from medicinal plants in the Congo basin
title_fullStr In silico drug metabolism and pharmacokinetic profiles of natural products from medicinal plants in the Congo basin
title_full_unstemmed In silico drug metabolism and pharmacokinetic profiles of natural products from medicinal plants in the Congo basin
title_short In silico drug metabolism and pharmacokinetic profiles of natural products from medicinal plants in the Congo basin
title_sort in silico drug metabolism and pharmacokinetic profiles of natural products from medicinal plants in the congo basin
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4230438/
https://www.ncbi.nlm.nih.gov/pubmed/25505657
http://dx.doi.org/10.1186/2193-9616-1-12
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