neocryptolepine and Malaria

Indoloquinoline (IQ) is an important class of naturally occurring antimalarial alkaloids, mainly represented by cryptolepine, isocryptolepine, and neocryptolepine. The IQ structural framework consists of four isomeric ring systems differing via the linkage of indole with quinoline as [3,2-b], [3,2-c], [2,3-c], and [2,3-b]. Structurally, IQs are planar and thus they bind strongly to the DNA which largely contributes to their biological properties. The structural rigidity and associated nonspecific cellular toxicity is a key shortcoming of the IQ structural framework for preclinical development. Thus, the lead optimization efforts were aimed at improving the therapeutic window and ADME properties of IQs. The structural modifications mainly involved attaching the basic aminoalkyl chains that positively modulates the vital physicochemical and topological parameters, thereby improves biological activity. Our analysis has found that the aminoalkylation consistently improved the selectivity index and provided acceptable in-vivo antimalarial/anticancer activity. Herein, we critically review the role of aminoalkylation in deciphering the antimalarial and cytotoxic activity of IQs.

Topics: Alkaloids; Antimalarials; Antineoplastic Agents; Cell Proliferation; Indoles; Malaria; Molecular Structure; Neoplasms; Quinolines

To obtain a high antimalarial activity with neocryptolepine derivatives, modifying and changing the side chains at the C11 position with varying the substituents of an electron-withdrawing or electron-donating nature at the C2 position for a SAR study were executed. Installation of alkylamino and ω-aminoalkylamino groups at the C11 position of the neocryptolepine core was successful. For further variation, the aminoalkylamino substituents were transformed into the corresponding acyclic or cyclic carbamides or thiocarbamides. These side chain modified neocryptolepine derivatives were tested for antimalarial activity against CQR (K1) and CQS (NF54) of Plasmodium falciparum in vitro and for cytotoxicity toward mammalian L6 cells. Among the tested compounds, the compound 17f showed an IC50 of 2.2 nM for CQS (NF54) and a selectivity index of 1400, and 17i showed an IC50 of 2.2 nM for CQR (K1), a selectivity index of 1243, and a resistance index of 0.5.

Topics: Alkaloids; Animals; Antimalarials; Cell Line; Chloroquine; Drug Resistance; Indoles; Malaria; Mice; Parasitic Sensitivity Tests; Plasmodium berghei; Plasmodium falciparum; Quinolines; Rats; Structure-Activity Relationship

This paper describes the construction of a QSAR model to relate the structures of various derivatives of neocryptolepine to their anti-malarial activities. QSAR classification models were build using Linear Discriminant Analysis (LDA), Quadratic Discriminant Analysis (QDA), Classification and Regression Trees (CART), Partial Least Squares-Discriminant Analysis (PLS-DA), Orthogonal Projections to Latent Structures-Discriminant Analysis (OPLS-DA), and Support Vector Machines for Classification (SVM-C), using four sets of molecular descriptors as explanatory variables. Prior to classification, the molecules were divided into a training and a test set using the duplex algorithm. The different classification models were compared regarding their predictive ability, simplicity, and interpretability. Both binary and multi-class classification models were constructed. For classification into three classes, CART and One-Against-One (OAO)-SVM-C were found to be the best predictive methods, while for classification into two classes, LDA, QDA and CART were.

Topics: Alkaloids; Antimalarials; Discriminant Analysis; Hemeproteins; Humans; Least-Squares Analysis; Malaria; Models, Biological; Plasmodium falciparum; Quantitative Structure-Activity Relationship; Quinolines; Support Vector Machine