M.S.(Pharm.), 2024, No. of Students: 8

Reg. No.	Name	Thesis Title
22PIM3714	Anil Kr Sharma	Study of clinical characteristics of biomarker VEGF on Renal cell carcinoma(RCC)-Meta-analysis Approach
22PIM3718	Doifode Rupesh Rameshwar	Development of database of repurposed drugs
22PIM3719	Geetanjali Bisht	Prediction of Breast Cancer using Machine Learning
22PIM3720	Goldi Parmar	Prediction of Renal Cell Carcinoma (RCC) using Gene Expression data
22PIM3721	Kancherla Rajesh	Classification of various Lung diseases by using chest X-ray images with CNN approach
22PIM3722	Keshav Raghuwanshi	Graph neural network-based classification of protease inhibitors: Insights into chemical information
22PIM3725	Priyanshi Jain	Machine Learning Approach to identify Biomarker for pancreatic cancer using Sc RNA sequence data.
22PIM3732	Wankhade Nitin Shrikrishna	Prediction of DPP-4 inhibitors and non-inhibitors by using Artificial intelligence

M.S.(Pharm.), 2023, No. of Students: 7

Reg. No.	Name	Thesis Title
21PIM3484	Ekambarapu Sree Charan	Prediction of fibroblasts growth factor inhibitors by using machine learning approaches
21PIM3489	K Prabha Niharika	Prediction of TNF-Alpha inhibitors and non-inhibitors using machine learning methods
21PIM3490	Kajal Dubey	Prediction of cervical cancer using machine learning approach
21PIM3493	Navuluri Triveni	Prediction of prostate cancer using gene expression data
21PIM3495	Rohit Tulshidas Gagare	Machine learning approach for predicting inhibitors and non-inhibitors of Androgen receptor
21PIM3496	Shweta Warghat	Development of database of unapproved drugs
21PIM3497	Ummireddy Daya Sagar	Prediction of alpha-2a adrenergic receptor inhibitors using machine learning approach

M.S.(Pharm.), 2022, No. of Students: 11

Reg. No.	Name	Thesis Title
20PAM3172	Dheeraj Kailas Darekar	Mechanistic PBPK modelling of selected drug in subjects with hepatic impairment
20PAM3174	Kunwar Pal Singh	Drug-drug-gene interaction (DDGI) potential of selected substrate(s) of a genetical polymorphic enzyme employing PBPK modelling
20PAM3176	Pooja Gupta	Drug-drug interaction (DDI) studies of selected drug using physiologically based pharmacokinetic modelling
20PAM3180	Sneha Laxmilal Suthar	Study of the impact of aging on the pharmacokinetics of propranolol via PBPK modelling
20PIM3264	Aniket Jaywant Dhane	Prediction of Multi-Disease Associated Bruton’s Tyrosine Kinase (BTK) Inhibitors Using Machine Learning Approaches
20PIM3267	Aritra Banerjee	Insilico Characterization of Substrate Specificity of GAPDH and Erythrose-4-phosphate Dehydrogenase in the E.coli
20PIM3268	Hemanth Chenga	Prediction of Alpha Synuclein Aggregation Inhibitors by using Machine Learning Methods
20PIM3270	Karishma Namdeorao Khande	Development of Natural Products Database
20PIM3272	Rajesh Alajangi	Prediction of Small Cell Lung Cancer Using Deep Learning Algorithms
20PIM3275	Shivani Kavali	Prediction of Topoisomerase II Inhibitors Using Machine Learning Approaches
20PIM3276	Shritej Avinash Shirsath	Prediction of Triple Negative Breast Cancer (TNBC) using Deep Learning Approach

M.S.(Pharm.), 2021, No. of Students: 7

Reg. No.	Name	Thesis Title
19PIM3060	Animesh Negi	In Silico Approaches For The Prediction Of Fatty Acid Synthase Inhibitors
19PIM3061	Charjan Pratik Gajanan	In Silico Hepatotoxicity Prediction Of Zebrafish Embryo Using Toxicogenomic Data
19PIM3062	Hunjan Amarpal Singh Harbanssingh	Development Of Polypharmacology Database For Indian Medicinal Plants And Their Phytochemicals
19PIM3063	Kamble Pradnya Jaysing	Prediction Of Ovarian Cancer Using Machine Learning Approach
19PIM3064	Koyena Halder	Prediction Of Non-Small Cell Lung Cancer Subtypes Using Deep Learning Approach
19PIM3069	Sarika Dhiman	Deep Learning Approach For Image Based Cancer Cell Detection
19PIM3073	Talware Shubham Krushna	Prediction Of Potential Inhibitors Of Amyloid-Beta Peptide Using Machine Learning Approaches

M.S.(Pharm.), 2020, No. of Students: 7

Reg. No.	Name	Thesis Title
18PIM2861	N P Sharatkumar	Identification of Potential Targets for The Treatment of Parkinson’s Disease Using Network Pharmacology
18PIM2865	Rahulkumar Ramchandrabhai Konkni	Prediction of Carbonic Anhydrase Inhibitor Using Machine Learning Approach
18PIM2866	Rakibul Islam	Machine Learning Based Prediction of Anti-Malarial Peptides
18PIM2867	Ratnakar Vikrant Vinod	Prediction of Cancer Cell Sensitivity To Drugs Using Machine Learning Approach
18PIM2868	Shubham Kumar Pandey	Prediction of Protein Toxicity Using Machine Learning Approach
18PIM2870	Sonti Hemanth Kumar	Prediction of Drug Target Interactions of GPCRs Using Machine Learning Approaches
18PIM2874	Yricherla Shekinah Glory	Prediction of SGLT-1 And SGLT-2 Inhibitors Using Machine Learning Approaches

M.S.(Pharm.), 2019, No. of Students: 7

Reg. No.	Name	Thesis Title
17PIM2666	Baddipadige Raju	In silico approach for the prediction of NRTI’s activity
17PIM2672	Manchikanti Nagarjuna Reddy	Prediction of Neurotoxicity by using Machine learning methods
17PIM2674	Muntha Harshavardhini	Prediction of CYP2E1 substrate and inhibitors using machine learning approach
17PIM2675	Nawar Nupoor Ravindra	Statistical analysis for prediction of Influenza Neuraminidase inhibitors
17PIM2676	Rajaram Naresh Kumar	Drug repurposing for Alzheimer’s acetylcholinesterase target and development of predictive model for acetylcholinesterase inhibitors
17PIM2677	Rajath R	Design of gp120 inhibitors using molecular modeling approach
17PIM2678	Shubham Vishnoi	Prediction of cyclin-dependent kinase inhibitor proteins using machine learning approach

M.S.(Pharm.), 2018, No. of Students: 8

Reg. No.	Name	Thesis Title
16PIM2457	Abhishek Chourasiya	A computational drug repositioning and rescuing approach for PARP cancer target
16PIM2462	Hardeep	in silico Modelling to Predict Drug-Induced Phospholipidosis by using Machine Learning Approach
16PIM2463	Ishpreet Singh	Prediction of protein stability changes for single site mutation using machine learning approach
16PIM2467	Priyanshu Ganeshe	Repurposing Non Cancerous Drugs for Cancers: An in silico Drug Rescuing and Repurposing Approach for Tankyrase Target
16PIM2468	Raj Karan Patel	In silico prediction of Tetrahymena pyriformis toxicity using machine learning approaches
16PIM2470	Rimpa Paul	Development of Knowledge Based System for The Prediction of Hepatotoxicity
16PIM2473	Shiva Chourasiya	Computational Approach for Identifying Candidate Drugs for Rescuing and  Repositioning for Cancer Disease
16PIM2474	Sudhakar Deshmukh	Prediction of CYP2C8 Inhibitors and Substrates using Machine Learning Methods

M.S.(Pharm.), 2017, No. of Students: 8

Reg. No.	Name	Thesis Title
15PIM2237	Chandan Agrawal	Systems Analysis of Bacillus megaterium WSH002 Metabolism for Augmenting the Yield of Bioproducts
15PIM2238	Devarshi Sengupta	Chem-Bio-Informatics Approach for the Prediction of Teratogenicity
15PIM2242	Kajal Nayal	Pathogen Host Interaction Modeling of Leishmania donovani and Human Macrophage
15PIM2244	Mushtaq Ahmad Wani	Prediction of Antimicrobial Peptides by using Machine Learning Approach
15PIM2246	Ponnam Surya Pavani	Prediction of acute oral toxicity in rat using ensemble of machine learning methods
15PIM2247	Pulaparthi Bavitha Sai Lakshmi	Cardiac Toxicity Prediction by Using Machine Learning and Modelling Techniques
15PIM2251	Sahil	Predicting Inhibitors for Multidrug Resistance Protein 2 Transporter by Machine Learning Approach
15PIM2254	Talari Gopaiah	Prediction Of Total Clearance By Machine Learning Techniques

M.S.(Pharm.), 2016, No. of Students: 5

Reg. No.	Name	Thesis Title
14PIM2048	Anunay Sourabh Sharma	Machine Learning Approaches to Predict EC number: An Application to Metabolic Network Gap-Filling
14PIM2049	Bachu Deepak	Therapeutic Target Prediction and Drug Repositioning for Kinetoplastids: A Proteochemometric Approach
14PIM2052	Kapil Dhingra	Target identification of Antikinetoplastid drugs: A Ligand based approach
14PIM2055	Sarika Sonkusre	System Analysis of Klebsiella pneumoniae Metabolic Model (MGH 78578, iYL1228) for Novel Target Identification and Drug Discovery
14PIM2063	Yalavarthi Jayanthi	Development of computational model for P-gp transporter and asses its role in BBB permeability

M.S.(Pharm.), 2015, No. of Students: 3

Reg. No.	Name	Thesis Title
13PIM1838	Jillella Gopala Krishna	in silico prediction of hERG toxicity using machine learning approaches
13PIM1841	Manoj Kumar Gupta	in silico prediction of Ames Mutagenicity using machine learning methods
13PIM1849	Turakhiya Abhikumar Tejasbhai	Tool Development for Computer Aided Process and Formulation Optimization by Statistical Design of Experiments (DoE) Approach

M.S.(Pharm.), 2014, No. of Students: 4

Reg. No.	Name	Thesis Title
12PIM1643	Lingineni Karthik	Development of computational model for MRP-1 substrates and assess its role in BBB permeability
12PIM1645	Mutyala Kuladeep	Computer Aided drug design of LEDGF/p75 inhibitors
12PIM1648	P Gangadhar	BCS classification using machine learning techniques
12PIM1653	Richpreet Kaur	Identification of pregnane X receptor activators by machine learning approaches

M.S.(Pharm.), 2013, No. of Students: 2

Reg. No.	Name	Thesis Title
PI/2011/XIV/1435/MP	Nilkanth Nareshbhai Patel	Design of Selective mTOR Pathway Inhibitors using Computational Approaches
PI/2011/XIV/1438/MP	Rahul Shrimantrao Dhakne	Role of Active efflux transporter on blood brain barrier permeability

M.S.(Pharm.), 2012, No. of Students: 3

Reg. No.	Name	Thesis Title
PI/2010/XIII/1133/MP	S. Abhinaya	Identification of potential drug targets for Mycobacterium tuberculosis using in silico approaches
PI/2010/XIII/1145/MP	Vasava Jaishreeben Mohanbhai	De novo drug design and binding mode analysis for Aspartate Semialdehyde Dehydorgenase for Mycobacterium tuberculosis
PI/2010/XIII/1153/MP	Belekar Vilas Maroti	Off-target Searching for Phloroglucinol Derivatives

M.S.(Pharm.), 2009, No. of Students: 2

Reg. No.	Name	Thesis Title
PI/2007/X/614/MP	Sonali Dhindwal	Protein-Protein Interaction prediction by machine learning approach
PI/2007/X/651/MP	Patel Hitesh Jayantilal	Protein folding prediction using machine learning approach

M.S.(Pharm.), 2008, No. of Students: 2

Reg. No.	Name	Thesis Title
PI/2006/IX/544/MP	Chaudhari Pradeep Natha	Prediction of Protein Function: A Machine Learning Approach
PI/2006/IX/551/MP	Changdev Gorakshnath Gadhe	QSAR: Toxicity Prediction of Chemical Compounds By Using Machine Learning Tools (ANN)

M.S.(Pharm.), 2007, No. of Students: 2

Reg. No.	Name	Thesis Title
PI/2005/VIII/442/MP	Aher Yogesh Dinkar	QSAR Modeling of Biological Activity of CCR5 Receptor Antagonists
PI/2005/VIII/454/MP	Virag Sharma	Prediction of Protein Function: A Data Mining Approach

M.S.(Pharm.), 2006, No. of Students: 3

Reg. No.	Name	Thesis Title
PI/2004/VII/353/MP	Avantika Agrawal	QSAR Modeling of HIV-1 Integrase Inhibitory Activity Using Artificial Neural Network
PI/2004/VII/355/MP	Divita Garg	Development of METABOTOX: A drug Toxicity-Metabolism Database & in silico Toxicity Prediction Model for Screening out HERG Inhibitors
PI/2004/VII/359/MP	Wahajuddin	Development of DataBase of Drugs acting on Angiotensin II Receptors (DBDAR) & QSAR Modelling

M.S.(Pharm.), 2005, No. of Students: 5

Reg. No.	Name	Thesis Title
PI/2003/VI/262/MP	Palak Gulati	Development of A Portal for ADME Softwares With Special Reference to Absorption
PI/2003/VI/267/MP	Jagmohan Singh Saini	Development of A Database for Drug Metabolism and Toxicity With Respect to Cytochrome P450 Enzyme and Quantitative Structure and LD50 Value Model for Beta Adrenoreceptor Blocking Agents
PI/2003/VI/268/MP	Sahjogita	Leishmania Protein Database
PI/2003/VI/270/MP	Jitendra Verma	Development of An Artificial Neural Network Model for Prediction of The Blood Brain Barrier Permeability of The Molecules
PI/2003/VI/271/MP	Vibha Vashistha	Drug Interaction Information System

Ph.D., 2024, No. of Students: 2

Reg. No.	Name	Thesis Title
18PIP495	Anuj	Algorithm Development to Explore Protein Cavities using Geometric 3D Delaunay Triangulation Method
18PIP496	Hardeep	Prediction of the Formation of Quinone Type of Reactive Metabolites and the Site of Quinone Formation Using Machine Learning Approach

Ph.D., 2022, No. of Students: 1

Reg. No.	Name	Thesis Title
17PIP459	Navneet Kumar	A Pharmacoinformatics study on translational factors of Mycobacterium tuberculosis

Ph.D., 2019, No. of Students: 1

Reg. No.	Name	Thesis Title
14PIP386	Sujit Ratnakar Tangadpalliwar	Pharmacoinformatics Tool Development for Adverse Drug Reactions

Ph.D., 2018, No. of Students: 1

Reg. No.	Name	Thesis Title
12PIP345	Mahesh Sharma	Genome-Scale Metabolic Network Reconstruction of Leishmania Donovani and its simulation for target identification and subsequent drug discovery

Ph.D., 2017, No. of Students: 1

Reg. No.	Name	Thesis Title
12PIP347	Shaikh Naeem	Proteochemometric drug interaction profiling for therapeutic targets, cytochrome P450s and transporters

Ph.D., 2015, No. of Students: 1

Reg. No.	Name	Thesis Title
PI/2011/XIX/309/P	Rajender Kumar	Identification and design of novel inhibitors against aspartate-semialdehyde dehydrogenase for Mycobacterium tuberculosis using computational approaches

Ph.D., 2012, No. of Students: 1

Reg. No.	Name	Thesis Title
PI/2007/XV/187/P	Pawan Kumar Gupta	Molecular Modelling Studies of HIV-1 Integrase Inhibitors