Research And IT Assistant

Dr. Zeeshan Arif is a distinguished computational chemist, toxicologist, and bioinformatician with extensive expertise in quantum mechanics/molecular mechanics (QM/MM) approaches, including Density Functional Theory (DFT) and Molecular Dynamics Simulations, applied to Structure-Based Drug Discovery (SBDD). His research spans a broad spectrum, encompassing molecular descriptor generation, QSAR/QSTR predictive modeling, cheminformatics for toxicity endpoint prediction, computational toxicology, and chemical space exploration. With a focus on translational bioinformatics, Dr. Arif excels in biomarker identification, ligand-protein interaction studies, and predictive toxicology. His innovative approaches and multidisciplinary expertise contribute significantly to advancing drug discovery and toxicity prediction, solidifying his position as a thought leader in the field.