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Sultana, K. F.

Publications and source records attributed to Sultana, K. F..

2 recordsLinked to original sources

Integrated in silico identification of fungal-derived dual-target inhibitors for anti-schistosomal drug discovery

Praziquantel, which has limited efficacy against young parasites and reduces susceptibility, is the principal therapy for schistosomiasis, a neglected tropical illness. This work identified fungal-derived compounds with potential dual inhibitory action against Schistosoma mansoni DHODH and cathepsin B1 using an integrated computational method. From 1,831 fungal metabolites, 120 were selected for molecular docking after structure standardisation, drug-likeness evaluation, ADMET, and toxicity screening. Ganoderlactone B (CID_122184973) and Spiroapplanatumine F (CID_132962217) strongly bound to DHODH and CB1, with docking affinities of -10.6 and -10.0 kcal/mol and -9.0 and -8.9, respectively. Docking validation showed good discrimination between active compounds and decoys with area-under-the-curve values of 0.98 for DHODH and 0.96 for CB1. The protein-ligand interaction study showed hydrogen bonding, hydrophobic interactions, and van der Waals contacts at the binding sites. In 100 ns molecular dynamics simulations, protein complexes exhibited modest backbone deviations and maintained compactness, although CID_132962217 showed sustained binding and a constrained conformation. MM-PBSA analysis identified CID_122184973 as the best common ligand for both targets. At the B3LYP/6-31G level, density functional theory calculations showed that CID_139584993 had the lowest HOMO-LUMO energy gap and hardness values of 3.552 and 1.776 eV, respectively, and the highest softness value of 0.282 eV-1, indicating greater electronic reactivity. Electrostatic potential mapping and QSAR predictions supported their interaction and antiparasitic potential. Overall, CID_122184973 and CID_132962217 are promising fungal scaffolds for dual-target anti-schistosomal drug development. Experimental enzyme inhibition, parasite viability, toxicity, and in vivo research are needed to confirm computational findings.

bioinformatics↗

Unraveling Coinfection Dynamics into 100 Whole Genome of Diarrheal Pathogens: A Genome-to-Systems Biology Approach with Plesiomonas shigelloides

Diarrhea is the second leading cause of mortality among infants under the age of five. One of the main causes of this disease is multipathogenic infections, which can make the conditions of patients even worse. Plesiomonas shigelloides (P. shigelloides) is one of the pathogenic bacteria that contributes to the pathophysiology of diarrhea and may be implicated in coinfection with other diarrheal pathogens. Therefore, the purpose of this study is to investigate the hypothetical proteins to explore the genetic insights of P. shigelloides and its relationships with common diarrheal diseases. For this reason, we used 16S rRNA sequencing together with several biochemical tests to identify the bacteria that we isolated from diarrheal patients (8 years). Afterwards, the whole genome of P. shigelloides was sequenced, assembled and annotated in order to obtain the genomic insights of P. shigelloides. In addition, the common virulence genes of ten (10) common diarrhea-causing bacteria were identified from 100 whole genome sequences. Finally, the system biology approach was applied to predict the coinfection pattern between P. shigelloides and the virulence genes of 10 bacteria. The complete genome sequencing analysis of this bacterium revealed 899 hypothetical proteins from which 33 hypothetical proteins shared the clusters with the 109 virulence genes of 10 distinct diarrheal pathogens, forming a strong interaction based on biological processes, molecular functions, subcellular localization, or pathways. All diarrhea causing bacteria were found to have P. shigelloides microbial interactions; however, V. cholerae exhibited the strongest relationships, while C. difficile showed the weakest. The results of this investigation clearly imply that P. shigelloides shares a coinfection pattern with other bacteria that cause diarrhea. Finally, the findings from the complete genome provide new avenues for researchers to pursue their investigation of the pathophysiology of diarrhea.

systems biology↗