AI-Driven Computational Biology
for Infectious Disease Research
AI Concepts Computational Research Laboratory develops computational methods in viral genomics, immunoinformatics, structural biology, comparative genomics, and artificial intelligence to investigate infectious diseases and support vaccine and therapeutic discovery.
Platforms
Projects
Studied
Pipelines
Experience
Scientific Focus Areas
Our research integrates computational biology, immunology, and AI to address infectious diseases
Computational Virology
Virus evolution, phylogenetics, mutation intelligence, and genomic surveillance.
Immunoinformatics
CTL, HTL, B-cell epitope prediction with population coverage analysis.
Reverse Vaccinology
Multi-epitope vaccine design using computational pipelines.
Structural Bioinformatics
Protein modeling, molecular docking, and dynamics simulation.
AI for Vaccine Design
Machine learning for antigen prioritization and immune response prediction.
Viral Evolution
Mutation tracking, selection pressure, and phylogenetic analysis.
Comparative Genomics
Cross-species genomic analysis and pathogen surveillance.
High-Performance Computing
Scalable pipelines for large-scale genomic analysis.