1. Anju Sharma, Rajnish Kumar, Shabnam Ranjta and Pritish Varadwaj. (2021) SMILES to Smell: Decoding the Structure–Odor Relationship of Chemical Compounds Using the Deep Neural Network Approach. J. Chem. Inf. Model. 61, 2:676–688.


2. Anju Sharma, Rajnish Kumar, Rahul Semwal, Imlimaong Aier, Pankaj Tyagi and Pritish Varadwaj. (2022) DeepOlf: Deep neural network-based architecture for predicting odorants and their interacting Olfactory Receptors," in IEEE/ACM Transactions on Computational Biology and Bioinformatics. 19(1): 418–428.


3. Anju Sharma A, Rajnish Kumar, Imlimaong Aier, Rahul Semwal, Pankaj Tyagi, Pritish Varadwa. (2019) Sense of Smell: Structural, Functional, Mechanistic Advancements and Challenges in Human Olfactory Research. Curr Neuropharmacol. 17(9):891-911.


4. Anju Sharma, Rajnish Kumar, Pritish Varadwaj. (2021) OBPred: feature-fusion-based deep neural network classifier for odorant-binding protein prediction. Neural Comput & Applic. 33: 17633–17646.


5. Anju Sharma, Bishal Saha, Rajnish Kumar, Pritish Varadwaj (2022). OlfactionBase: a repository to explore odors, odorants, olfactory receptors, and odorant-receptor interactions. Nucleic Acids Research, 50(D1): D678–D686.


6. Anju Sharma, Rajnish Kumar, Pritish Varadwaj (2022). Decoding seven basic odors by investigating pharmacophores and molecular features of odorants. Current Bioinformatics.