Exome sequencing in Nigerian children with early-onset epilepsy syndromes.

Objective: Nigeria, along with other Sub-Saharan African countries, bears the highest burden of epilepsy worldwide. This high prevalence is attributed to a combination of factors, including a significant incidence of infectious diseases, perinatal complications, and genetic etiologies. Genetic testing is rarely available and is not typically included in the routine diagnostic work-up for individuals with infantile and childhood epilepsy syndromes in these regions.

Employing Hexahydroquinolines as CDPK4 Inhibitors to Combat Malaria Transmission: An Advanced Computational Approach.

Background: Existing antimalarial drugs primarily target blood-stage parasites, but there is a need for transmission-blocking drugs to combat malaria effectively. Calcium-dependent Protein Kinase 4 (CDPK4) is a promising target for such drugs. This study employed advanced in silico analyses of hexahydroquinolines (HHQ) derivatives to identify CDPK4 inhibitors capable of disrupting malaria transmission.

studies of benzothiazole derivatives as potential inhibitors of and trehalase.

Introduction: In malaria management, insecticides play a crucial role in targeting disease vectors. Benzothiazole derivatives have also been reported to possess insecticidal properties, among several other properties they exhibit. The female Anopheles mosquito is responsible for transmitting the malaria parasite when infected.

Combination of computational techniques and RNAi reveal targets in Anopheles gambiae for malaria vector control.

Increasing reports of insecticide resistance continue to hamper the gains of vector control strategies in curbing malaria transmission. This makes identifying new insecticide targets or alternative vector control strategies necessary. CLassifier of Essentiality AcRoss EukaRyote (CLEARER), a leave-one-organism-out cross-validation machine learning classifier for essential genes, was used to predict essential genes in Anopheles gambiae and selected predicted genes experimentally validated.

Correction: Heuristic-enabled active machine learning: A case study of predicting essential developmental stage and immune response genes in Drosophila melanogaster.

[This corrects the article DOI: 10.1371/journal.pone.