| • | Label composition of all the formulations manufactured in India and their market value, sponsored by National Pharmaceutical Pricing Authority (NPPA), Govt. of India. A database containing information about various formulations being manufactured by different manufacturers in the country, their label composition particularly with respect to the levels of Active Pharmaceutical Ingredients (API) present and their sales volumes during specified period of the year has been developed. |
| • | Directory of R&D capabilities in the field of tuberculosis, sponsored by MRC, South Africa and DST, Govt. of India. Available at http://www.databases.niper.ac.in/TBIndia |
| • | Pharmaceutical Education & Practicing Pharmacist Information System, sponsored by Department of Science and Technology, Govt. of India. Database of registered pharmacists in India have been developed to have accurate & updated information regarding the distribution profile and the services rendered by the registered pharmacists. |
| • | GenMAPP database for fission yeast. A custom Gene Database and MAPP Archives for saccharomyces pombe have been created through collaboration with J. David Gladstone Institutes, at the University of California, San Francisco. |
| • | LeishBase: L. majorstructural database |
Databases developed:
| • | Data Mining and Pattern Recognition: Protein function prediction using data mining and machine learning approaches |
| • | Databases: Customized database development |
| • | QSAR modeling: ApplyingArtificial Neural Network to predict the activity of the new chemical entities |
| • | Garg, P. and Verma, J. (2006) In silico Prediction of Blood Brain Barrier Permeability: An Artificial Neural Network Model, Journal of Chemical Information and Modeling, 46, 289-297. |
| • | Aher, Y.D., Agrawal, A., Bharatam, P.V. and Garg, P. (2007) 3D-QSAR studies of substituted 1-(3, 3-diphenylpropyl)-piperidinyl amides and ureas as CCR5 receptor antagonists, Journal of Molecular Modeling, 13, 519-529. |
| • | Aher, Y.D. and Garg, P. (2007) QSAR Modeling of CCR5 Receptor Antagonists using Artificial Neural Network, The IASTED Conference on Artificial Intelligence and Application, Innsbruck, Austria <http://www.actapress.com/Abstract.aspx?paperId=29450> |
| • | Aher, Y.D. and Garg, P. (2007) QSAR Modeling of CCR5 Receptor Antagonists using Artificial Neural Network, The IASTED Conference on Artificial Intelligence and Application, Innsbruck, Austria <http://www.actapress.com/Abstract.aspx?paperId=29450> |
| • | Garg, P., Sharma, V., Chaudhari, P. and Roy, N. (2009) SubCellProt: Predicting Protein Subcellular Localization Using Machine Learning Approaches, In Silico Biology, 9(1-2): 35-44. |
| • | Gupta, P., Roy, N., Garg, P., (2009) Docking-based 3D-QSAR study of HIV-1 Integrase Inhibitors, European Journal of Medicinal Chemistry, 44: 4276-4287. |
Selected Publications:
Dr. Prabha Garg
Dr. Prabha Garg Associate Professor and In-charge of Computer Centre, NIPER and faculty of National center of Pharmacoinformatics at NIPER. Dr. Garg did her PhD from Thapar University. She is actively engaged in customized database development at national and international levels for seven years. She has several years of research experience on ANN and customized algorithm development.
Her main fields of activities are:
Her main fields of activities are:
