The burden of allergic illnesses is continuously rising, and patient diagnosis is a significant problem because of how intricately hereditary and environmental variables interact. The past three to four decades have seen an outbreak of allergies in high-income countries. According to reports on the illness, asthma affects around 300 million individuals worldwide. Identifying clinically important allergens for the accurate classification of IgE-mediated allergy respiratory disease diagnosis would be beneficial for implementing standardized allergen-associated therapy. Therefore, the current study includes an in silico analysis to identify potential IgE-mediated allergens in date palms and cockroaches. Such an immunoinformatic approach aids the prioritization of allergens with probable involvement in IgE-mediated allergic respiratory diseases. Immunoglobulin E (IgE) was used for molecular dynamic simulations, antigen–antibody docking analyses, epitope identifications, and characterizations. The potential of these allergens (Per a7, Per a 1.0102, and Bla g 1.0101) in IgE-mediated allergic respiratory diseases was explored through the evaluation of physicochemical characteristics, interaction observations, docking, and molecular dynamics simulations for drug and vaccine development.

The fourth most frequent type of cancer in women and the leading cause of mortality for females worldwide is cervical cancer. Traditionally, medicinal plants have been utilized to treat various illnesses and ailments. The molecular docking method is used in the current study to look into the phytoconstituents of Juglans regia’s possible anticancer effects on cervical cancer target proteins. This work uses the microarray dataset analysis of GSE63678 from the NCBI Gene Expression Omnibus database to find differentially expressed genes. Furthermore, protein-protein interactions of differentially expressed genes were constructed using network biology techniques. The top five hub genes (IGF1, FGF2, ESR1, MYL9, and MYH11) are then determined by computing topological parameters with Cytohubba. In addition, molecular docking research was performed on Juglans regia phytocompounds that were extracted from the IMPPAT database versus hub genes that had been identified. Utilizing molecular dynamics, simulation confirmed that prioritized docked complexes with low binding energies were stable.

Immunoglobulin E (IgE)-mediated allergy, which affects more than 30% of the population, is the most prevalent hypersensitivity illness. In an atopic individual, even a small amount of allergen exposure can cause IgE antibodies to be produced. Due to the engagement of receptors that are highly selective for IgE, even tiny amounts of allergens can induce massive inflammation. This study focuses on the exploration and characterization of the allergen potential of Olea europaea allergen (Ole e 9) affecting the population in Saudi Arabia. A systematic computational approach was performed to identify potential epitopes of allergens and complementary determining regions of IgE. In support, physiochemical characterization and secondary structure analysis unravel the structural conformations of allergens and active sites. Epitope prediction uses a pool of computational algorithms to identify plausible epitopes. Furthermore, the vaccine construct was assessed for its binding efficiency using molecular docking and molecular dynamics simulation studies, which led to strong and stable interactions. This is because IgE is known to play a role in allergic responses, which facilitate host cell activation for an immune response. Overall, the immunoinformatics analysis advocates that the proposed vaccine candidate is safe and immunogenic and therefore can be pushed as a lead for in vitro and in vivo investigations.Communicated by Ramaswamy H. Sarma

Cervical cancer is the fourth most common malignancy among women, which also turns out to be the most common cause of death in women worldwide. Medicinal plants have traditionally been used to treat various diseases and disorders. The current study utilizes the molecular docking technique to investigate the anticancer potential of Juglans regia phytoconstituents against cervical cancer target proteins. This study includes the microarray dataset analysis of GSE63678 from the NCBI Gene Expression Omnibus database to identify differentially expressed genes. Furthermore, network biology approaches were employed to construct protein-protein interaction of differentially expressed genes. Next, the computation of topological parameters utilizing Cytohubba renders the top five hub genes ( IGF1, FGF2, ESR1, MYL9, and MYH11 ). In addition, Juglans regia phytocompounds mined from the IMPPAT database were subjected to molecular docking analysis against identified hub genes. The application of molecular dynamics simulation validated the stability of prioritized docked complexes with minimum binding energy.

Deep-sea holobionts adapt to extreme environmental fluctuations, but the molecular mechanisms underlying resilience remain poorly understood. We investigated the vesicomyid clam Archivesica marissinica and its sulfur-oxidizing symbionts during sulfide shortage via in situ transplant experiments at the Haima cold seep. Transplanting clams to sulfide-depleted conditions (moderate at HM-3 and severe at HM-2) revealed distinct response patterns of host-symbiont interaction. Symbionts may mitigate sulfide loss by shifting from sulfide oxidation to thiosulfate oxidation, supported by thiosulfate generated through host sulfide detoxification pathways. Notably, symbiont abundance remained stable under moderate sulfide shortage (HM-3), accompanied by down-regulation of host endosomal maturation and fusion with lysosomes, potentially limiting symbiont turnover. Conversely, severe sulfide shortage (HM-2) was associated with up-regulation of lysosomal pathways and lower symbiont abundance. These results demonstrate tiered molecular adaptations—metabolic flexibility and shifts in symbiont dynamics—enabling holobiont resilience to spatially heterogeneous sulfide availability in deep-sea seeps, supporting ecosystem stability.