Sadaf Farooqi, Rabia Ismail Yousuf, Muhammad Harris Shoaib, Kamran Ahmed, Sabah Ansar, Tazeen Husain
Quality by Design (QbD)-Based Numerical and Graphical Optimization Technique for the Development of Osmotic Pump Controlled-Release Metoclopramide HCl Tablets
Drug design, development and therapy
proliferative diabetic retinopathy pdr major cause blindness characterized complex pathogenesis study integrates singlecell rna sequencing scrnaseq nonnegative matrix factorization nmf machine learning alphafold 2 methods explore molecular level pdr analyzed scrnaseq data pdr patients healthy controls identify distinct cellular subtypes gene expression patterns nmf used define specific transcriptional programs pdr oxidative stressrelated genes orgs identified within metaprogram 1 utilized construct predictive model using twelve machine learning algorithms furthermore employed alphafold 2 prediction protein structures complementing molecular docking validate structural foundation potential therapeutic targets also analyzed proteinprotein interaction ppi networks interplay among key orgs scrnaseq analysis revealed five major cell types 14 subcell types pdr patients significant differences gene expression compared controls identified three key metaprograms underscoring role microglia pathogenesis pdr three critical orgs alkbh1 psip1 atp13a2 identified bestperforming predictive model demonstrating high accuracy auc 0989 training cohort 0833 validation cohort moreover alphafold 2 predictions combined molecular docking revealed resveratrol strong affinity alkbh1 indicating potential targeted therapeutic agent ppi network analysis revealed complex network interactions among hub orgs genes suggesting collective role pdr pathogenesis study provides insights cellular molecular aspects pdr identifying potential biomarkers therapeutic targets using advanced technological approaches