1. Next-Gen Comparative Genomics Pipeline for Mpox
- Sequence Alignment
- End-to-end pipeline to fetch viral genomes from NCBI/GISAID and perform high-throughput alignment
- Uses Python (Biopython) + Clustal Omega for multiple sequence alignment
- Identifies conserved/mutated regions using statistical scoring
- Visualization via Matplotlib/Seaborn dashboards
- Deployable on Microsoft Azure for scalable genomic analysis
2. AI-Driven Pharmacovigilance Framework for Precision Therapeutics in Type 2 Diabetes
- Integrates ADR datasets (FAERS) and patient clinical data
- Uses ML models (Random Forest/XGBoost) to predict adverse drug responses
- Personalized drug recommendation engine using classification pipelines
- R (Bioconductor) for statistical validation
- Cloud-based patient data storage + model deployment
3. Deep Learning-Based Prediction of Immune Escape Variants (SARS-CoV-2/Mpox)
- Uses sequence datasets of SARS-CoV-2 and Mpox for mutation analysis
- LSTM/Transformer models for sequence prediction
- Predicts mutations impacting antibody binding
- GPU-based training using TensorFlow/PyTorch
- Deployable API for real-time mutation risk prediction
5. Integrative Multi-Omics Intelligence System for Cervical Cancer
- Combines genomics, transcriptomics, proteomics datasets
- Uses R (DESeq2) + Python (Pandas) for differential analysis
- Identifies biomarkers and drug targets
- Network analysis using Cytoscape
- Dashboard visualization for clinical insights
7. Proteomics-Driven Drug Target Mapping in Cervical Cancer
- Processes mass spectrometry proteomics datasets
- Identifies differentially expressed proteins
- Functional enrichment analysis using R tools
- Links proteins to drug databases (DrugBank)
- Visualizes pathways and targets
9. High-Throughput Genomic Variant Profiling in Cervical Cancer
- Variant calling pipeline using GATK
- SNP/Indel filtering using Python
- Identifies oncogenic mutations
- Integrates clinical datasets
- Visual analytics dashboard
11. In-Silico Drug Discovery Pipeline for Mpox
- Virtual screening of compounds (PubChem/ZINC)
- Docking simulations using AutoDock
- Ranking based on binding energy
- ADMET prediction using ML models
- Cloud-based HPC screening
13. AI-Powered Antimicrobial Resistance Prediction
- Genome analysis for resistance genes
- ML classification models
- Phylogenetic tree construction
- Data pipelines in Python
- Cloud deployment for surveillance
15. Gut Microbiome Metagenomic Intelligence Platform
- QIIME2 pipeline for sequencing data
- Diversity analysis (alpha/beta diversity)
- Clustering using ML algorithms
- Correlation with immune diseases
- Cloud workflow automation
17. Computational Epigenomics Platform
- “Next-Gen Epigenomic Intelligence System for Cardiovascular Disease Risk Profiling”
- DNA methylation and histone modification analysis
- R-based statistical modeling (Bioconductor)
- Integration with transcriptomics data
- AI models to predict disease risk
- Interactive visualization dashboards
19. Drug Interaction Prediction Engine
- “Graph AI-Based Drug-Drug Interaction Prediction Platform for Precision Medicine”
- Builds drug interaction networks using graph models
- Applies ML classification for interaction prediction
- Integrates DrugBank datasets
- API-based prediction service
- Dashboard for clinical decision support
21. Epitranscriptomics Intelligence System
- “RNA Modification Analytics Platform for Decoding Cancer Progression via Epitranscriptomics”
- Detects RNA modifications (m6A, m5C)
- Integrates RNA-seq datasets
- Correlates modifications with cancer stages
- AI models for predictive insights
- Visualization of RNA modification landscapes
23. Drug Response Variability Platform
- “Multi-Omics AI Engine for Predicting Drug Response Variability in Oncology”
- Integrates genomic + epigenomic data
- Uses ML models for prediction
- Identifies key regulators
- Personalized therapy recommendations
- Visualization dashboards
25. Mpox CADD Platform
- “Advanced AI-Driven CADD Pipeline for Novel Therapeutic Target Discovery Against Mpox”
- Identifies viral targets via structural analysis
- Virtual screening + docking simulations
- ML-based scoring of candidates
- ADMET optimization
- Cloud HPC integration
27. Ligand Screening Engine
- “AI-Powered Ligand-Based Virtual Screening Platform for Viral Entry Inhibitor Discovery”
- QSAR modeling for compound activity prediction
- Chemical descriptor extraction using Python
- ML-based screening of libraries
- Ranking of top inhibitors
- Validation pipeline
29. Mpox Drug Discovery Platform
- “End-to-End AI-Enabled Drug Discovery System for High-Efficacy Mpox Therapeutics”
- Compound library screening
- Docking + ADMET analysis
- ML-based ranking
- Optimization of drug properties
- Cloud deployment
31. Cancer Hub Gene Engine
- “Integrated Bioinformatics Platform for Hub Gene Discovery and Drug Repurposing in Cancer”
- Gene expression analysis
- Network construction (Cytoscape)
- Hub gene identification
- Drug repurposing via databases
- Visualization dashboards
33. Pan-Genome Intelligence Platform
- “Pan-Genome Analytics System for Antibiotic Resistance Profiling in Klebsiella pneumoniae”
- Genome collection and comparison
- Core/accessory gene identification
- Resistance gene profiling
- Phylogenetic analysis
- Visualization tools
35. Herbal Drug Discovery Platform
- “Computational Metabolomics Engine for Bioactive Compound Discovery in Herbal Medicine”
- Metabolite database mining
- Docking analysis
- ML-based activity prediction
- Identification of bioactive compounds
- Visualization
37. Rheumatoid Arthritis Simulation Engine
- “Systems Biology-Based Computational Engine for Modeling Inflammatory Pathways in Rheumatoid Arthritis”
- Pathway modeling using ODEs
- Simulation of inflammation dynamics
- System-level predictions
- Validation using datasets
- Visualization
39. scRNA-seq Automation Platform
- “End-to-End AI-Driven Workflow Automation System for Single-Cell RNA-Seq Analysis”
- QC and filtering pipeline
- Normalization and clustering
- Cell type annotation
- Automation scripts
- Visualization
41. Gene-Disease Network Platform
- “Graph-Based Gene-Disease Network Analytics Engine for Rare Mitochondrial Disorders”
- Network construction
- Graph algorithms
- Key gene identification
- Visualization tools
- Predictive insights
43. GNN Cancer Intelligence Platform
- “Graph Neural Network-Based Gene Regulatory Network Inference Platform for Cancer Systems Biology”
- Builds gene regulatory networks
- Applies GNN models
- Infers gene interactions
- Cancer pathway analysis
- Visualization dashboards
4. Structure-Based Precision Drug Discovery for Alzheimer’s via Docking
- Targets Alzheimer’s disease proteins (Amyloid-beta)
- Uses AutoDock Vina for ligand-protein docking
- RDKit for chemical optimization and ADMET prediction
- AI-based ranking of compounds using regression models
- Cloud HPC for large-scale docking simulations
6. Network Pharmacology Framework for miR-4454 Target Discovery
- Extracts miRNA-gene interactions from databases
- Builds gene-drug interaction networks
- Pathway enrichment using KEGG/GO analysis
- Uses Python (NetworkX) for graph modeling
- Identifies druggable targets via network centrality
8. AI-Augmented Variant Annotation in Breast Cancer
- Uses TCGA mutation datasets
- Variant calling and annotation via ANNOVAR
- ML model to classify pathogenic mutations
- Python pipelines for automation
- Cloud storage + compute integration
10. Genome-Wide Analysis of Type 2 Diabetes
- GWAS data processing
- Identifies gene-disease associations
- Uses R for statistical modeling
- ML prediction of risk genes
- Network visualization
12. Hybrid Sequence Alignment & Homology Modeling Platform
- BLAST for sequence similarity search
- Clustal Omega for alignment
- SWISS-MODEL for 3D structure prediction
- Structure validation tools
- Visualization using PyMOL
13. AI-Powered Antimicrobial Resistance Prediction
- Genome analysis for resistance genes
- ML classification models
- Phylogenetic tree construction
- Data pipelines in Python
- Cloud deployment for surveillance
16. CRISPR Functional Genomics Engine
- “AI-Optimized CRISPR Genome Engineering Platform for Precision Therapeutics in Rare Genetic Disorders”
- Designs high-efficiency gRNA with off-target minimization
- Uses Python pipelines + CRISPR design tools
- ML-based scoring for editing efficiency
- Simulates gene-edit outcomes in silico
- Cloud deployment for scalable genome editing workflows
18. Single-Cell Tumor Intelligence Platform
- “AI-Powered Single-Cell Analytics Engine for Tumor Microenvironment Deconvolution”
- scRNA-seq processing using Seurat
- Cell clustering + annotation via ML
- UMAP/t-SNE for visualization
- Detects tumor heterogeneity patterns
- Cloud-enabled large-scale cell analysis
20. CKD Biomarker Discovery Platform
- “AI-Driven Early Detection System for Chronic Kidney Disease via Genomic Biomarkers”
- Gene expression analysis for biomarker discovery
- ML classification for early-stage detection
- Statistical validation using R
- Predictive modeling for risk assessment
- Clinical dashboard visualization
22. Protein Interaction Modeling Engine
- “Structural Bioinformatics Platform for Protein-Protein Interaction Mapping in Neurodegenerative Diseases”
- Builds PPI networks using STRING DB
- Identifies hub proteins via graph analysis
- Structural modeling of interactions
- Cytoscape-based visualization
- AI-assisted target prioritization
24. Circular RNA Cancer Platform
- “AI-Based Circular RNA Regulatory Network Platform for Cancer Metastasis Prediction”
- Detects circRNAs from RNA-seq
- Builds regulatory interaction networks
- Functional prediction via ML
- Identifies metastasis biomarkers
- Visualization tools
26. PTM Analysis Platform
- “Post-Translational Modification Intelligence System for Disease Proteomics”
- Identifies phosphorylation/acetylation sites
- Correlates PTMs with disease states
- ML prediction of modification sites
- Protein function analysis
- Visualization of PTM patterns
28. Structure-Based Drug Design Suite
- “Next-Gen Structure-Based Drug Design Platform for Viral Protease Inhibitor Optimization”
- Protein structure modeling and docking
- Ligand optimization pipelines
- Binding affinity analysis
- AI-driven compound refinement
- Visualization of molecular interactions
30. Multi-Target Anti-Cancer Platform
- “AI-Integrated Multi-Target Drug Discovery Engine with Docking and Quantum (DFT) Analysis”
- Identifies multiple cancer targets
- Docking simulations across targets
- DFT analysis for compound stability
- Optimization pipelines
- Visualization of results
32. Personalized Nutrition AI System
- “SNP-Driven Precision Nutrition Recommendation Engine Using Gut Microbiome Analytics”
- SNP data analysis
- Microbiome correlation
- ML-based diet recommendations
- Personalized health insights
- API deployment
34. CRISPR Crop Engineering Platform
- “AI-Optimized CRISPR gRNA Design System for Enhancing Stress Tolerance in Rice”
- Target gene identification
- gRNA design and scoring
- Off-target prediction
- Simulation of edits
- Optimization pipeline
36. Skin Microbiome Intelligence System
- “Comparative Metagenomic Platform for Skin Microbiome Profiling in Psoriasis and Eczema”
- Metagenomic sequencing analysis
- Diversity comparison
- Statistical modeling
- Disease correlation
- Visualization dashboards
38. QSAR Anti-TB Platform
- “Automated AI-Powered QSAR Modeling Platform for Anti-Tuberculosis Drug Discovery”
- Dataset preparation
- Descriptor extraction
- ML model training
- Prediction of activity
- Validation
40. Neoantigen Discovery Platform (Glioblastoma)
- “AI-Powered Neoantigen Discovery Engine for Personalized Immunotherapy in Glioblastoma”
- Tumor mutation analysis
- Neoantigen prediction
- Immunogenicity scoring
- ML-based ranking
- Visualization
42. AI Cancer Vaccine Platform
- “Deep Learning-Based Neoantigen Prediction Platform for Personalized Cancer Vaccine Design”
- Tumor sequencing analysis
- Deep learning models
- Antigen prediction
- Ranking candidates
- Deployment