Unknown

Dataset Information

Identification of antiplasmodial triterpenes from Keetia species using NMR-based metabolic profiling.


ABSTRACT:

Introduction

The increase in multidrug resistance and lack of efficacy in malaria therapy has propelled the urgent discovery of new antiplasmodial drugs, reviving the screening of secondary metabolites from traditional medicine. In plant metabolomics, NMR-based strategies are considered a golden method providing both a holistic view of the chemical profiles and a correlation between the metabolome and bioactivity, becoming a corner stone of drug development from natural products.

Objective

Create a multivariate model to identify antiplasmodial metabolites from 1H NMR data of two African medicinal plants, Keetia leucantha and K. venosa.

Methods

The extracts of twigs and leaves of Keetia species were measured by 1H NMR and the spectra were submitte

SUBMITTER: Freire RT 

PROVIDER: S-EPMC6394458 | biostudies-literature | 2019 Feb

REPOSITORIES: biostudies-literature

altmetric image

Publications

Sorry, this publication's infomation has not been loaded in the Indexer, please go directly to PUBMED or Altmetric.

Similar Datasets