Cutting-edge bioinformatics research, AI/ML models, molecular docking studies, and computational drug design projects
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Explainable AI for drug activity prediction using SHAP values to interpret molecular descriptor contributions.
Comprehensive ADME (Absorption, Distribution, Metabolism, Excretion) and toxicity prediction using machine learning models. Includes risk assessment, feature importance analysis, model performance metrics, and Lipinski's Rule of Five compliance for drug-likeness evaluation.
Comprehensive machine learning study comparing 5 different algorithms (CNN, Random Forest, SVM, KNN, Logistic Regression) for brain cancer subtype classification from gene expression data. Includes deep learning and traditional ML approaches.
Quantitative structure-activity relationship modeling with correlation matrix analysis using MOE software.
Deep learning weight optimization using random search for optimal hyperparameter configuration.
Computer vision project using OpenCV for image analysis, filtering, and feature extraction.
Building neural networks from scratch without frameworks. Implements backpropagation, gradient descent, and activation functions manually.
Deep learning autoencoders for dimensionality reduction and image reconstruction. Includes vanilla and convolutional autoencoders.
Convolutional Neural Network for image classification with visualization of training metrics and model performance.
Long Short-Term Memory networks for time series forecasting and sequence prediction tasks.
NLP text classification using deep learning models including word embeddings and LSTM networks.
U-Net architecture for semantic image segmentation with encoder-decoder structure.
2D interaction diagram showing hydrogen bonds, hydrophobic contacts, and key amino acid residues.
3D visualization of Citalopram binding to serotonin transporter protein showing optimal pose.
Co-crystallized ligand extraction from PDB entry 7NFD for reference docking validation.
Detailed hydrogen bonding network between ligand and Serine 289 residue in active site.
Comprehensive 2D/3D interaction map showing all contact points within protein binding pocket.
High-resolution 3D structure of protein-ligand complex with surface representation.
Multi-tool consensus approach combining PyRx, GOLD, and MOE for robust pose prediction.
Protein structure validation using Ramachandran plot analysis showing 95%+ residues in favored regions.
Side-by-side structural comparison of wild-type and mutant protein to assess pathogenic impact.
Vertical comparison of wild-type and mutant protein structures highlighting conformational changes.
AlphaFold-predicted structure of C2orf74 protein with G85E missense mutation showing structural impact.
High-confidence AlphaFold structure with mutation site highlighted for functional assessment.
Shannon diversity index analysis comparing microbial community richness across sample groups.
Simpson's diversity index for measuring community dominance and species distribution.
Principal Coordinate Analysis using Bray-Curtis dissimilarity to visualize community structure.
FastQC per-base sequence quality scores after adapter trimming with Cutadapt.
Distribution of quality scores across all sequences after read cleaning and trimming.
Structure-based pharmacophore generation for virtual screening and lead identification. Includes 3D pharmacophore features (H-bond donors/acceptors, aromatic, hydrophobic regions), virtual screening hits visualization, and aligned conformations of top candidates.
Computational RNA aptamer design with secondary structure prediction, centroid structure analysis, dot plot visualization, and mountain plot representation for RNA folding energy landscape.
Shopify e-commerce store for organic bee products with product catalog and checkout system.
Multi-vendor marketplace with advanced filtering, cart, and payment integration.
Interactive challenge platform with author profiles and digital product sales.
Fashion e-commerce with product variants, wishlist, and responsive design.
Automotive parts store with technical specifications and inventory management.
Multi-category superstore with advanced search, filters, and customer reviews.
German furniture e-commerce with 3D product views and room visualization.
Let's collaborate on your next bioinformatics or AI project. I bring expertise in computational biology, machine learning, and drug discovery.