A5091585588- Computational Drug Discovery Methods
- Phase Equilibria and Thermodynamics
- Analytical Chemistry and Chromatography
- Synthesis and biological activity
- Acute Myeloid Leukemia Research
- Retinoids in leukemia and cellular processes
- Genomics, phytochemicals, and oxidative stress
- Antimicrobial Resistance in Staphylococcus
- Analytical Methods in Pharmaceuticals
- Cancer Mechanisms and Therapy
- Antibiotics Pharmacokinetics and Efficacy
- Pharmacology and Obesity Treatment
- Plant chemical constituents analysis
- Garlic and Onion Studies
- CRISPR and Genetic Engineering
- Internet of Things and AI
- Powder Metallurgy Techniques and Materials
- Phytochemical compounds biological activities
- Osteoarthritis Treatment and Mechanisms
- Chronic Myeloid Leukemia Treatments
- Spectroscopy Techniques in Biomedical and Chemical Research
- bioluminescence and chemiluminescence research
- Moringa oleifera research and applications
- Seaweed-derived Bioactive Compounds
- Machine Learning and Data Classification
University of Ha'il
2022-2025
Nova Southeastern University
2020
AutoNation (United States)
2020
Enterococci are troublesome nosocomial, opportunistic Gram-positive cocci bacteria showing enhanced resistance to many commonly used antibiotics. This study aims investigate the prevalence and genetic basis of antibiotic macrolides, lincosamides, streptogramins (MLS) in Enterococci, as well correlation between MLS biocide resistance. From 913 clinical isolates collected from King Khalid Hospital, Hail, Saudi Arabia, 131 were identified spp. The susceptibility enterococcal several antibiotics...
In this study, a nano-drug delivery design based on (8, 8) carboxylated single-walled carbon nanotube (CNT-COOH) and folic acid (FA) decorated CNT-COOH (CNT-FA) were investigated. These nanocarriers applied to enhance therapeutic efficacy reduce the adverse effects of anticancer drug carboplatin (CBP) results compared. The density functional theory (DFT) calculations used calculate interactions between CNT-COOH, CNT-FA, CBP drug. DFT computations carried out by DMol3 module using annealing...
In this study, the solubility of rivaroxaban, a poorly water-soluble drug, was investigated in mixed solvent systems to address challenges pharmaceutical formulation and bioavailability enhancement. Solubility optimization is essential for effective delivery therapeutic performance as its low aqueous limits oral necessitates innovative approaches drug formulation. The study explored role primary alcohols combined with dichloromethane improving solubility, emphasizing their industrial...
FMS-like tyrosine kinase 3 (FLT3) mutations occur in approximately 30% of acute myeloid leukemia (AML) patients. In the current study, oxindole chemotype is employed as a structural motif for design new FLT3 inhibitors potential hits AML irradiation. Cell-based screening was performed with 18 derivatives and 5a-c inhibited 68%-73% 83%-91% internal tandem duplication (ITD)-mutated MV4-11 cell growth 48- 72-h treatments while only 0%-2% 27%-39% wild-type THP-1 cells. The most potent compound...
Modeling and simulations based on machine learning techniques were conducted in this research for determination of pharmaceutical solubility supercritical solvent the sake green processing development area pharmaceutics. By method, drug nanoparticles can be formed controlled better consequently bioavailability. We modeled namely desoxycorticosterone acetate (DA). The temperature pressure are two inputs developed models, whereas target output is DA solvent. Indeed, models with one study. This...
Effective and safe medication use can be maximized by providing counseling, which aims to optimize therapeutic results. This approach improves the effectiveness of antibacterial treatment, reduces treatment expenses, mitigates emergence antimicrobial resistance. No research from Pakistan has been previously documented. The purpose this was evaluate both quality antibiotic counseling provided level understanding exhibited pharmacy employees with regard interactions involving medications....
Understanding the solubility of drug particles in solvents has remained a big challenge different fields. Development advanced computational approaches to estimate drugs is an important necessity due difficulty and time-consuming characteristics experimental measurements. This study used hybrid machine learning models utilizing two inputs, including Pressure (X1) Temperature (X2), analyze available data, correlate supercritical solvent. The methods Random Forest (RF), Extra Trees (ET),...
This research article presents a thorough and all-encompassing examination of predictive models utilized in the estimation viscosity for ionic liquid solutions. The study focuses on crucial input parameters, namely type cation, anion, temperature (measured Kelvin), concentration (expressed mol%). assesses three influential machine learning algorithms that are based Decision Tree methodology. These include Random Forest (RF), Gradient Boosting (GB), XGBoost (XGB). Furthermore, incorporates...
Breast cancer represents the most frequently occurring globally among women. As per recent report of World Health Organization (WHO), it was documented that by end year 2020, approximately 7.8 million females were positively diagnosed with breast and in 2020 alone, 685,000 casualties due to cancer. The use standard chemotherapeutics includes frontline treatment option for patients; however, concomitant side effects represent a major obstacle their usage. Carbazole alkaloids are one such...
Farnesiferol C (Far-C) is a coumarin commonly extracted from Ferula asafetida and popularly used as traditional source of natural remedy. Liver cancer or hepatocellular carcinoma (HCC) has emerged major cause behind burden, limited therapeutic interventions have further aggravated the clinical management HCC. In present study, authors tested hypothesis that Far-C-instigated oxidative stress resulted in anti-proliferation apoptosis instigation within human liver HepG2 cells. The observations...
The current study intends to find out the efficacy of Orlistat in management hyperlipidemia, Systolic Blood Pressure (SBP) and Body Mass Index (BMI).This retrospective has evaluated lipid profiles patients, who have been using metformin therapy for Type 2 diabetes. obtained data regarding parameters like triglyceride, Total cholesterol (TC), LDL cholesterol, HDL LDL/HDL ratio, systolic blood pressure (BMI). Random distribution patients was done into placebo groups. group received only...
The aim of the study was to analyze if there a link between chronic diseases, like cardiovascular disease (CVD) and osteoarthritis (OA), obesity in population Saudi Arabia's Hail region.The conducted over 12 months using an observational cross-sectional survey on 172 patients from five clinics Hail, Arabia. A total individuals with (BMI ≥ 30) finally participated this research. evaluated sociodemographic variables via electronic questionnaire voluntary participation.The found 76% prevalence...
Membrane-based purification of therapeutic agents has recently attracted global attention as a promising replacement for conventional techniques like distillation and pervaporation. Despite the conduction different investigations, development more research about operational feasibility using polymeric membranes to separate detrimental impurities molecular entities is great importance. The focus this paper develop numerical strategy based on multiple machine learning methods predict...
Acute myeloid leukemia (AML) is one of the cancers that grow most aggressively. The challenges in AML management are huge, despite many treatment options. Mutations FLT3 tyrosine kinase receptors make currently available therapies less responsive. Therefore, there a need to find new lead molecules can specifically target mutated block growth factor signaling and inhibit cell proliferation. Our previous studies on FLT3-mutated cells demonstrated β-elemene compound 5a showed strong inhibition...
Twin screw granulation (TSG) has recently been emerged as a novel approach for the continuous wet of fine particles (i.e., powders) in pharmaceutical industry. The presence brilliant advantages like ability operation at very low liquid concentrations and excellent product consistency made this technique promising. Except positive points, existence major challenges scalability flexibility processing regimes enhanced importance deeper investigations towards true recognition process. central...
The epidermal growth factor receptor (EGFR) presents a crucial target for combatting cancer mortality.