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Tabassum, N.

Publications and source records attributed to Tabassum, N..

7 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↗

Impact of Point Mutation on Shiga-like Toxin 1: A Molecular Dynamics Simulation Study

The causative agent of gastroenteritis is Shiga toxin, which belongs to a functionally and structurally associated protein family despite each individual having a unique amino acid sequence. After entering the ER lumen and relocating the toxic domain to the cytoplasm, they alter the large subunit of rRNA, preventing protein synthesis and ribosomal damage. Shiga-like toxin-1 (SLT-1) subunit B targets glycolipid receptor Gb3, which plays a significant role in cytotoxicity. Though the mutational effect on subunit B is important for cytotoxicity study, we lack better understanding. Our present study targets the mutational impact of glycine protein at their 62th amino acid sequence of subunit B. For example, how it can alter the receptor-binding capacity and virulence. We used in silico method with GROMACS software suite (version 5.2, 2020.1) on Google Colab for a 100ns (100,000ps) simulation period and UCSF Chimera software for visualizing mutant and wild-type structure similarities. Surprisingly, RMSD, RMSF, and Rg trajectories from the simulation analysis indicated a more stable and compact mutant structure than the wild type. Principle component analysis (PCA) and SASA were visualized for the entire 100ns, which pointed towards homogeneity between both structures and more solvent accessibility in the mutant structure. This mutation may elevate receptor-binding and virulence capacity. Moreover, this finding can offer a better insight for future vaccine production.

bioinformatics↗

Microbe-induced plant drought tolerance by ABA-mediated root morphogenesis and epigenetic reprogramming of gene expression

The use of beneficial microbes to mitigate drought stress tolerance of plants is of great potential albeit little understood. We show here that a root endophytic desert bacterium, Pseudomonas argentinensis sp. SA190, enhances drought stress tolerance in Arabidopsis. Transcriptome and genetic analysis demonstrate that SA190-induced root morphogenesis and gene expression is mediated via the plant abscisic acid (ABA) pathway. Moreover, we demonstrate that SA190 primes the promoters of target genes in an epigenetic manner which is ABA-dependent. Application of the SA190 priming technology on crops is demonstrated for alfalfa in field trials, showing enhanced performance under desert agriculture conditions. In summary, a single beneficial root bacterial strain can help to perform agriculture under drought and water limiting conditions. Synopsis O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=161 SRC="FIGDIR/small/522604v1_ufig1.gif" ALT="Figure 1"> View larger version (39K): org.highwire.dtl.DTLVardef@b0bd17org.highwire.dtl.DTLVardef@14e3262org.highwire.dtl.DTLVardef@cdd103org.highwire.dtl.DTLVardef@5526a0_HPS_FORMAT_FIGEXP M_FIG C_FIG O_LIBeneficial root endophyte Pseudomonas argentinensis sp. SA190 confers drought tolerance in plants C_LIO_LISA190 modulates the expression of genes under drought stress in an ABA-dependent manner C_LIO_LISA190 primes genes via H3K4me3 histone mark enrichment C_LIO_LISA190 alters host plant physiology by improving the plant water status C_LIO_LISA190 enhances crop performance in open field conditions with limited irrigation C_LI

plant biology↗

Linker histone H1 regulates defense priming and immunity in plants

Linker H1 histones play an important role in animal and human pathogenesis, but their function in plant immunity is poorly understood. Here, we analyzed mutants of the three canonical variants of Arabidopsis H1 histones, namely H1.1, H1.2 and H1.3. We observed that double h1.1h1.2 and triple h1.1h1.2h1.3 (3h1) mutants were resistant to Pseudomonas syringae and Botrytis cinerea infections. Transcriptome analysis of 3h1 mutant plants showed that histone H1s play a key role in regulating the expression of early and late defense genes upon pathogen challenge. Moreover, 3h1 mutant plants showed enhanced production of reactive oxygen species and activation of mitogen activated protein kinases upon pathogen-associated molecular pattern (PAMP) treatment. However, 3h1 mutant plants were insensitive to priming with flg22, a well-known bacterial PAMP (pathogen-associated molecular pattern) which induces enhanced resistance in WT plants. The defective defense response in 3h1 was correlated with the enhanced DNA methylation and reduced H3K56ac levels upon priming. Our data place H1 as a molecular gatekeeper in governing dynamic changes in the chromatin landscape of defense genes during plant pathogen interaction.

plant biology↗

Homeodomain protein 1 is an essential regulator of gene expression during sexual differentiation of malaria parasites

Transmission of Plasmodium falciparum and other malaria parasites requires their differentiation from asexual blood stages into gametocytes, the non-replicative sexual stage necessary for transmission to the mosquito vector. This transition involves changes in gene expression and chromatin reorganization that result in the activation and silencing of stage-specific genes. However, the genomes of malaria parasites have been noted for their dearth of transcriptional and chromatin regulators and the molecular mediators of these changes remain largely unknown. We recently identified HomeoDomain Protein 1 (HDP1) as a DNA-binding protein that enhances the expression of key genes that are critical for early sexual differentiation. The discovery of a homeodomain-like DNA-binding protein marks a new class of transcriptional regulator in malaria parasites outside of the better-characterized ApiAP2 family. In this study, we show that HDP1 facilitates the necessary upregulation of inner membrane complex components during early gametocytogenesis that gives P. falciparum gametocytes they characteristic shape and is required for gametocyte maturation and parasite transmission.

microbiology↗

Mutational landscapes of normal breast during age and pregnancy determine cancer risk

The accumulation of somatic mutations in the healthy breast throughout life and pregnancy is poorly understood1-10. Similarly, the mutational landscape of both epithelial and stromal components of the mammary gland has not been investigated. Both are relevant for breast cancer (BC), as the interplay between age, pregnancy, and cancer risk has not been fully characterized11. We describe whole genome sequencing analysis of epithelial and stromal compartments from the normal breast. We show that, in a similar way to other normal organs, the mutational burden of the mammary nulliparous epithelium significantly increases with age. In a nulliparous status, mutated clones are maintained at a consistently small size throughout the life of the individual; however, at parity, pre-existent clones significantly increase in size with age. Both epithelial and stromal compartments of the healthy breast contain pre-existing known cancer mutations, albeit at low rate, indicative of subsequent positive selection for mutations in tissue-specific driver genes. In line with this, both compartments also present gene enrichment in preferentially mutated cancer pathways. Our results show that mutational landscapes differ between the parous and nulliparous epithelium and suggest an explanation for both differential breast cancer risk and development of pregnancy-associated BC (PABC).

genetics↗

In Silico Analysis of Effect of non-synonymous SNPs associated with Permanent Neonatal Diabetes Mellitus on Stability and Structure of Human Insulin

MotivationProteins are the building-blocks of life. However with the deluge of data on protein sequences and their association with diseases, it is imperative to use computational tools to aid experimental analysis. Determination of the impact of disease-causing SNPs on proteins structure is crucial in discovering how a disease affects the functions on a fundamental level and thereafter, determining potential drug targets. ResultsSNPs associated with the genetic disease permanent neonatal diabetus mellitus (PNDM) were studied to determine their impact on human insulin. Out of 16 missense variants, eight were predicted to be deleterious. 6 of the SNPs resulted in high structural differences (RMSD > 0.9, H bonds > 35). Stability changes were also determined.

bioinformatics↗