No study has been performed on identifying microRNAs (miRNAs) and their targets in the medicinal plant, Catharanthus roseus. In the present study, using the comparative genomics approach, we have predicted two potential C. roseus miRNAs. Furthermore, twelve potential mRNA targets were identified in C. roseus genome based on the characteristics that miRNAs exhibit perfect or nearly perfect complementarity with their targeted mRNA sequences. Among them many of the targets were predicted to encode enzymes that regulate the biosynthesis of terpenoid indole alkaloids (TIA). In addition, most of the predicted targets were the gene coding for transcription factors which are mainly involved in cell growth and development, signaling and metabolism. This is the first in silico study to indicate that miRNA target gene encoding enzymes involved in vinblastine and vincristine biosynthesis, which may help to understand the miRNA-mediated regulation of TIA alkaloid biosynthesis in C. roseus.

Malaria is the most lethal and debilitating disease caused by the protozoan parasite Plasmodium worldwide. The most severe forms of disease and the incidence rates of mortality are associated with P. falciparum infections. With the identification of disease source and symptoms, many chemical entities were developed naturally and synthetically for administration as a potential antimalarial drug. The major classes of approved antimalarial drugs that are governed as first‐line treatment in tropical and subtropical areas include quinolines, naphthoquinones, antifolates, 8‐aminoquinolines, and endoperoxides. However, the efficacy of antimalarial drugs has decreased due to ongoing multidrug resistance problem to current drugs. With increasing resistance to the current antimalarial artemisinin and its combination therapies, malaria prophylaxis has declined gradually. New‐generation antimalarial and novel drug target are required to check the incidence of malaria resistance. This review summarizes the emergence of multidrug resistance to known antimalarial and the development of new antimalarial to resolve drug resistance condition. Few essential proteins are also discussed that can be considered as novel drug target against malaria in future.

Despite its efficacy against malaria, the relatively low yield (0.01%-0.8%) of artemisinin in Artemisia annua is a serious limitation to the commercialization of the drug. A better understanding of the biosynthetic pathway of artemisinin and its regulation by both exogenous and endogenous factors is essential to improve artemisinin yield. Increasing evidence has shown that microRNAs (miRNAs) play multiple roles in various biological processes. In this study, we used previously known miRNAs from Arabidopsis and rice against expressed sequence tag (EST) database of A. annua to search for potential miRNAs and their targets in A. annua. A total of six potential miRNAs were predicted, which belong to the miR414 and miR1310 families. Furthermore, eight potential target genes were identified in this species. Among them, seven genes encode proteins that play important roles in artemisinin biosynthesis, including HMG-CoA reductase (HMGR), amorpha-4,11-diene synthase (ADS), farnesyl pyrophosphate synthase (FPS) and cytochrome P450. In addition, a gene coding for putative AINTEGUMENTA, which is involved in signal transduction and development, was also predicted as one of the targets. This is the first in silico study to indicate that miRNAs target genes encoding enzymes involved in artemisinin biosynthesis, which may help to understand the miRNA-mediated regulation of artemisinin biosynthesis in A. annua.

A systematic workflow consisting of comparative genomics, metabolic pathways analysis and additional drug prioritization parameters identified 264 proteins of Vibrio cholerae which were predicted to be absent in Homo sapiens. Among these, 40 proteins were identified as essential proteins that could serve as potential drug and vaccine targets. Additional prioritization parameters characterized 11 proteins as vaccine candidates while druggability of each of the identified proteins as evaluated by the Drug Bank database which prioritized 16 proteins suitable for drug targets. As a case study, we built a homology model of one of the potential drug targets, MurA ligase, using MODELLER (9v12) software. The model has been further explored for in silico docking with inhibitors having druggability potential from the Drug Bank database. Results from this study could facilitate selecting V. cholerae proteins for drug design and vaccine production pipelines in future.