Total No. of Databases: 9
1.	CAFMS: Central Animal Facility Management System.
2.	Formulations: Label composition of all the formulations manufactured in India and their market value, NPPA, Govt. of India.
3.	GenMAPP: 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.
4.	InAADR: An Adverse Drug Reactions resource for Drugs and Proteins.
5.	LeishBase: Leishmania major structural database.
6.	PIMPD: Polypharmacology of Indian Medicinal Plant.
7.	PPIS: Pharmaceutical Education & Practicing Pharmacist Information System, DST, Govt. of India.
8.	TanCanDB: Tankyrases database.
9.	TBIndia: Directory of R&D capabilities in the field of tuberculosis.
Total No. of GitHub: 17
1.	Alzheimer's Disease: Explainable AI-driven Alzheimer’s disease stage diagnosis leveraging CNN.
2.	AndroPred: An artificial intelligence-based model for predicting androgen receptor inhibitors.
3.	CardioToxicity: Graph-Based Classification with GNN-Explainer for Predicting Cardiac Toxicity Associated with Multi-Ion Channel Blockers.
4.	CellWallPermeability: Prediction of Mycobacterium tuberculosis cell wall permeability using machine learning methods.
5.	Cervical Cancer: Decoding Cervical Cancer Biomarkers.
6.	CNER: LLMs for Chemical Named Entity Recognition.
7.	CRAFT Command: Protein Cavity Prediction.
8.	DeepADRA2A: Predicting adrenergic α2a inhibitors using deep learning.
9.	DPP4: Predictive Modeling for Type-II Diabetes.
10.	ECiLPSE Standalone: Enzyme classification integrating LSTM and Prot-BERT sequence encoding.
11.	FGFR1Pred: An artificial intelligence-based model for predicting fibroblast growth factor receptor 1 inhibitor.
12.	Gastrointestinal: Deep learning-based prediction model for diagnosing gastrointestinal diseases using endoscopy images.
13.	GSK3BPred: A deep learning model to classify potential GSK3β inhibitors.
14.	LungImages: Diagnosing Respiratory Variability: Convolutional Neural Networks for Chest X-ray Classification Across Diverse Pulmonary Conditions.
15.	OpioidBias: A Machine Learning Tool for Predicting the Biased Agonism of Opioid Ligands.
16.	PDAC: Computational theranostics strategy for pancreatic ductal adenocarcinoma.
17.	ProteinTox: Protein Toxicity Prediction.
Total No. of Software: 3
1.	BBB Permeability: In silico prediction of blood brain barrier permeability: an Artificial Neural Network model (Journal of Chemical Information and Modeling 2006, 46: 289-297).
2.	BiAnaCA: A Freely Accessible Tool for Data Analysis of End-Point Biochemical Assay.
3.	ChemSuite: A package for Chemoinformatics calculations and Machine Learning.
Total No. of Webservers: 19
1.	AChE Predictor: To predict AChE inhibitors and non-inhibitors.
2.	BCRP: In Silico Prediction of BCRP Substrate/Non-Substrate Activity.
3.	BiomedKAI: http://pitools.niper.ac.in/BiomedKAI/home.
4.	CRAFT: A web-integrated cavity prediction tool based on flow transfer algorithm.
5.	DPI: In Silico Prediction of Drug-Protein Interaction.
6.	DTI: In Silico Prediction of Drug-Transporter Interaction.
7.	e-Scider: A tool to retrieve, prioritize and analyze the articles from PubMed database.
8.	ECiLPSE: Enzyme classification integrating LSTM and Prot-BERT sequence encoding.
9.	ECPred: Predicting protein function using machine learning approaches.
10.	HToPred: A Tool for Human Topoisomerase II Inhibitor Prediction.
11.	iB3Pred: In Silico Prediction of Blood Brain Barrier Permeability.
12.	MedKG: Enabling drug discovery through a unified biomedical knowledge graph.
13.	MRP1: In Silico Prediction of MRP-1 Substrate/Non-Substrate Activity.
14.	MSubCellProt: Predicting multiple protein subcellular localization using machine learning approaches.
15.	PnGT: Physicochemical n-Grams Tool.
16.	ProIntPred: Protein-protein interaction prediction.
17.	QuinonePred: Accurate Prediction of Quinone Formation during Drug Metabolism.
18.	SubCellProt: Predicting protein subcellular localization using machine learning approaches.
19.	TNFipred: A classification model to predict TNF-α inhibitors.