A Dream Takes Shape

A CENTRE OF EXCELLENCE FOR ADVANCED STUDIES AND RESEARCH IN PHARMACEUTICAL SCIENCES

 Distinctiveness:
Drug discovery research has become much more complex science requiring a multidisciplinary approach. Converging concepts of several disciplines such as molecular biology, chemistry, toxicology, pharmaceutical sciences and computational technology has become more than a trend in education. It has become a necessity for solving real-world problems. This course is designed to teach the new millennium drug discovery science to the pharmacy graduates to become the successful drug discovery scientist in pharmaceutical industry. The center is equipped to carry out research and provide training in the advanced areas of genomics, proteomics, computational drug discovery techniques including bioinformatics, QSAR, Molecular Docking, pharmacophore mapping, chemoinformatics, computational ADME / Toxicity prediction methods, pharmaceutical informatics and medical informatics. The focus of this department is on the practical applications of computer aided target identification, validation and drug-design, this centre is quite different from other academic centres where the focus is either on theoretical studies or on development of bioinformatic methods or on chemoinformatic methods.
Activities Πgram


Events Conferences and Meetings on Genomics and Bioinformatics

Worldwide Bioinformatics & Computational Biology Related Events
Latest Research A novel context-aware retrieval framework for biomedical knowledge integration with large language models

Enzyme classification integrating LSTM and Prot-BERT sequence encoding

CRAFT: a web-integrated cavity prediction tool based on flow transfer algorithm

Graph-Based Classification with GNN-Explainer for Predicting Cardiac Toxicity Associated with Multi-Ion Channel Blockers

Diagnosing Respiratory Variability: Convolutional Neural Networks for Chest X-ray Classification Across Diverse Pulmonary Conditions

Computational discovery of ATP-competitive GSK3β inhibitors using database-driven virtual screening and deep learning

Redefining precision medicine in hepatocellular carcinoma through omics, translational, and AI-based innovations