A, Haseena; Kumar, Vibhor (Advisor)(IIIT-Delhi, 2025-06-18)
Regenerative medicine relies on the precise control of stem cell differentiation. While mesenchymal stem cells (MSCs) and human embryonic stem cells (hESCs) hold great promise, current differentiation methods struggle with ...
Bai O P, Kavya; Ghosh, Tarini Shankar (Advisor)(IIIT-Delhi, 2025-07-24)
Celiac disease (CeD) is a chronic immune-mediated enteropathy triggered by the ingestion of gluten, a storage protein complex found in wheat, rye, and barley. Gluten comprises glutenin and gliadins, which are rich in proline ...
Cell-free DNA (cfDNA) has emerged as a promising biomarker for non-invasive cancer diagnostics, offering a window into tumor-derived genetic and epigenetic information through simple blood sampling. However, the biological ...
This thesis explores the development and evaluation of a smart, multi-agent system designed to retrieve information efficiently from a diverse biomedical knowledge graph. The graph was carefully built using BioKG data in ...
Enhancers and their non-coding counterparts, enhancer RNAs (eRNAs), are crucial regulators of gene expression, directing cellular identity, developmental programs, and disease states. The functional implications of enhancer ...
Calendula officinalis (marigold) has long been valued in traditional medicine for its therapeutic effects, yet the molecular mechanisms underlying its action remain largely unexplored. This study investigates the bioactive ...
Alam, Urooj; Raghava, Gajendra Pal Singh (Advisor)(IIIT-Delhi, 2025-05)
The inherent instability of peptides in biological fluids represents a significant challenge for their development as therapeutic agents. To advance the field, we have developed a database of peptide half-life called ...
Oral health is essential for overall human well-being, with oral diseases impacting 3.5 billion people worldwide every year (WHO Report 2022). Oral microbiome is considered as the 2nd most abundant human body site with ...
Protein-ligand interactions are fundamental in regulating protein activity within cellular environments, playing a pivotal role in numerous biochemical processes. These interaction studies are important for understanding ...
Antimicrobial resistance (AMR) presents an immediate threat to public health as microorganisms evolve to resist antimicrobial drugs, leading to challenging or untreatable infections. AMR-related costs could exceed 1 trillion ...
Joshi, Piyush; Murugan, N. Arul (Advisor)(IIIT-Delhi, 2024-05-01)
Deep learning models and generative AI have revolutionized drug discovery, especially with regard to neurodegenerative diseases like Alzheimer's. The developing of canonical SMILES (Simplified Molecular Input Line Entry ...
Pathogenic fungal diseases have become a global threat to human health in immunocompromised individuals. With increasing mortality rates due to systemic infections and limited availability of antifungal classes, it is ...
In the contemporary era, anti-aging stands as a prominent research focus. Recognizing the impact of diet on aging, investigations into caloric restriction methods have emerged as a promising and effective approach in ...
Singhal, Divyanshi; Murugan, N Arul (Advisor)(IIIT-Delhi, 2024-05-01)
Parkinson's disease is a prevalent neurodegenerative disorder that affects a significant portion of the aging population worldwide. The etiology of Parkinson's disease involves the accumulation of misfolded proteins, ...
Singh, Surabhi; Murugan, N Arul (Advisor)(IIIT-Delhi, 2024-05-01)
The accurate prediction of protein stability temperatures is essential for numerous applications in bioinformatics and biotechnology. In this study, we utilized a multifaceted computational approach to develop predictive ...
Along with the remarkable success stories in the evolutionary journey of targeted cancer treatment, there are examples where the targeted therapies failed to match the expectations. There have been multiple reports of ...
The gut microbiome is intricately linked with various aspects of health and physiology, serving as both a potential diagnostic marker and therapeutic target. Understanding its mechanistic inluences on systemic processes, ...
Kaur, Parneet; Murugan, N Arul (Advisor)(IIIT-Delhi, 2024-05-01)
In recent years, there has been significant interest in using Machine Learning and Deep Learning to predict protein-ligand binding affinity. This is due to the rapid growth of the computational approaches that have evolved ...