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Author Correction: Exploring northeast India’s culturable soil Actinomycetia for potent antibacterial agents against gram-positive bacterial pathogens of clinical importance
Human embryo editing against disease is unsafe and unproven — despite rosy predictions
Loss of Kat2b impairs intraflagellar transport and the Hedgehog signaling pathway in primary cilia
Advanced KNN-based cost-efficient algorithm for precision localization and energy optimization in dynamic underwater sensor networks
Knowledge, attitudes, and use of the Mediterranean diet in practice among dietitians in the United Arab Emirates: a cross-sectional study
Mapping neutron biological effectiveness for DNA damage induction as a function of incident energy and depth in a human sized phantom
Comparative analysis of deep learning models for crack detection in buildings
Sulfide-rich continental roots at cratonic margins formed by carbonated melts
Effects of nitrogen fertilizer application rate on lodging resistance for rice (Oryza sativa L.) stem
In-silico screening and analysis of missense SNPs in human CYP3A4/5 affecting drug-enzyme interactions of FDA-approved COVID-19 antiviral drugs
Abstract Single nucleotide polymorphisms (SNPs) represent the prevailing form of genetic variations observed in the human population. Such variations could alter the encoded enzymes’ activities. CYP3A4/5 enzymes are involved in metabolizing drugs, notably antivirals against SARS-CoV-2. In this work, we computationally investigated antiviral-enzyme interactions of CYP3A4/5 genetic variants. We also examined the deleterious impact of 751 missense single nucleotide polymorphisms (SNPs) within the CYP3A4/5 genes. An ensemble of bioinformatics tools, [SIFT, PolyPhen-2, cadd, revel, metaLr, mutation assessor, Panther, SNP&GO, PhD-SNP, SNAP, Meta-SNP, FATHMM, I-Mutant, MuPro, INPS, CONSURF, GPS 5.0, MusiteDeep and NetPhos], identified a total of 94 variants (47 SNPs in CYP3A4, 47 SNPs in CYP3A5) to potentially impact the structural integrity as well as the activity of the CYP3A4/5 enzymes. Molecular docking was done to recognize the structural stability and binding properties of the CYP3A4/5 protein isoforms with 3 FDA-approved antiviral drugs. Our findings indicated that the CYP3A4 gene variants; R418T, I335T and R130P and the CYP3A5 gene variants; I335T, L133P and R130Q are considered the most deleterious missense SNPs. These mutants potentially affect drug-enzyme binding and hence may alter therapeutic response. Cataloguing deleterious SNPs is essential for personalized gene-based pharmacotherapy.
3D modelling and simulation of thermal effects and dispersion of particles carrying infectious respiratory agents in a railway transport coach
Synthesis and evaluation of amino acid ionic liquid for enhanced oil recovery: experimental and modeling simulation studies
Abstract Recovering the remaining oil after primary and secondary extraction methods poses a significant challenge. Enhanced oil recovery (EOR) techniques, which involve injecting fluids into reservoirs, aim to increase recovery rates. Ionic liquids, known for their adaptability, are emerging as promising agents in EOR, improving oil displacement by reshaping fluid properties and interacting with reservoir rocks. This study investigates the eco-friendly amino acid ionic liquid, AAIL [G0.5 C12][Pro], for EOR applications, focusing on its characterization and performance. Using pre-prepared quaternary ammonium salt PAMAM G0.5 C12 and proline, AAIL [G0.5 C12][Pro] was synthesized and confirmed via FTIR and 1H-NMR analyses. Rheological analysis identified 7 g of AAIL [G0.5 C12][Pro] as the optimal concentration for peak performance. Laboratory sand-pack displacement experiments demonstrated an 11% increase in oil recovery at this concentration. Further, a 3D reservoir model simulation validated the enhanced oil recovery potential of AAIL [G0.5 C12][Pro]. The study introduces the novel amino acid ionic liquid [G0.5 C12][Pro], which demonstrates superior effectiveness in enhancing oil recovery through significant wettability modification and interfacial tension reduction, underscoring its potential as an effective and environmentally friendly EOR agent compared to other ionic liquids and conventional methods.
Predicting EV battery state of health using long short term degradation feature extraction and FEA TimeMixer
A study on hybrid-architecture deep learning model for predicting pressure distribution in 2D airfoils
Author Correction: Treadmill training improves lung function and inhibits alveolar cell apoptosis in spinal cord injured rats
Clinical and laboratory characteristics of solitary rectal ulcer syndrome: a retrospective analysis of 36 case
Abstract The primary objective of this study was to evaluate the clinical, laboratory, and histological characteristics of solitary rectal ulcer syndrome (SRUS) and assess the outcomes associated with various management strategies. This retrospective observational study was conducted at Giresun Education and Research Hospital. This study included patients diagnosed with SRUS between January 2020 and January 2024. Demographic information, clinical presentation, primary diagnosis, and laboratory parameters were obtained from electronic medical records. Statistical analysis was performed using SPSS software, and the chi-square test was used to compare categorical variables. A total of 36 patients diagnosed with SRUS were included, with the majority being male (80.6%), and the mean age of participants was 75.6 years. Hematochezia was identified as the most common initial symptom (61.1%), followed by abdominal pain (16.7%) and constipation (11.1%). Laboratory findings revealed significant abnormalities, including mean hemoglobin levels of 10.0 ± 2.4 g/dL and mean CRP levels of 56.7 ± 65.4 mg/L. Histopathological analysis showed that 38.9% of patients had normal biopsy results, whereas inflammation and dysplasia were observed in 41.7% and 2.8% of cases, respectively. Additionally, a statistically significant difference in age was observed between the patients presenting with different initial symptoms (p = 0.028). The study also found that biopsy results varied significantly across symptom groups (p = 0.012), and although differences in hemoglobin and hematocrit levels across biopsy groups were noted, they were not statistically significant. This study offers a comprehensive analysis of SRUS, emphasizing the importance of detailed clinical and laboratory evaluation. Hematochezia emerged as the most prevalent symptom, and ulcerative colitis was identified as the primary diagnosis. Significant associations were observed between various clinical parameters and patient outcomes, highlighting the necessity of a multidisciplinary approach in managing SRUS.