| CancerPPD: a database of anticancer peptides and proteins A Tyagi, A Tuknait, P Anand, S Gupta, M Sharma, D Mathur, A Joshi, ... Nucleic acids research 43 (D1), D837-D843, 2015 | 320 | 2015 |
| A web server and mobile app for computing hemolytic potency of peptides K Chaudhary, R Kumar, S Singh, A Tuknait, A Gautam, D Mathur, ... Scientific reports 6, 2016 | 173 | 2016 |
| SATPdb: a database of structurally annotated therapeutic peptides S Singh, K Chaudhary, SK Dhanda, S Bhalla, SS Usmani, A Gautam, ... Nucleic acids research 44 (D1), D1119-D1126, 2016 | 164 | 2016 |
| PEPlife: A Repository of the Half-life of Peptides D Mathur, S Prakash, P Anand, H Kaur, P Agrawal, A Mehta, R Kumar, ... Scientific reports 6, 2016 | 147 | 2016 |
| Hemolytik: a database of experimentally determined hemolytic and non-hemolytic peptides A Gautam, K Chaudhary, S Singh, A Joshi, P Anand, A Tuknait, D Mathur, ... Nucleic acids research 42 (D1), D444-D449, 2014 | 122 | 2014 |
| In silico approaches for predicting the half-life of natural and modified peptides in blood D Mathur, S Singh, A Mehta, P Agrawal, GPS Raghava PloS one 13 (6), e0196829, 2018 | 78 | 2018 |
| ParaPep: a web resource for experimentally validated antiparasitic peptide sequences and their structures D Mehta, P Anand, V Kumar, A Joshi, D Mathur, S Singh, A Tuknait, ... Database 2014, bau051, 2014 | 72 | 2014 |
| SAPdb: A database of short peptides and the corresponding nanostructures formed by self-assembly D Mathur, H Kaur, A Dhall, N Sharma, GPS Raghava Computers in Biology and Medicine, 104391, 2021 | 11 | 2021 |
| TopicalPdb: A database of topically delivered peptides D Mathur, A Mehta, P Firmal, G Bedi, C Sood, A Gautam, GPS Raghava PloS one 13 (2), e0190134, 2018 | 11 | 2018 |
| PrePCI: A structure- and chemical similarity-informed database of predicted protein compound interactions Trudeau, Stephen J., Howook Hwang, Deepika Mathur, Kamrun Begum, Donald ... Protein Science, doi: 10.1002/pro.4594, 2023 | 6* | 2023 |
| Genome-wide analysis of a model-derived binge eating disorder phenotype identifies risk loci and implicates iron metabolism D Burstein, TC Griffen, K Therrien, J Bendl, S Venkatesh, P Dong, ... Nature Genetics, 1-9, 2023 | 5 | 2023 |
| Genome-wide analysis of binge-eating disorder identifies the first three risk loci and implicates iron metabolism David Burstein, Trevor C Griffen, Karen Therrien, Jaroslav Bendl, Sanan ... medRxiv, https://doi.org/10.1101/2022.04.28.22274, 2022 | 4* | 2022 |
| Detecting and Adjusting for Hidden Biases due to Phenotype Misclassification in Genome-Wide Association Studies D Burstein, GE Hoffman, D Mathur, S Venkatesh, K Therrien, A Fanous, ... medRxiv, 2023.01. 17.23284670, 2023 | 2 | 2023 |
| The neuronal chromatin landscape in adult schizophrenia brains is linked to early fetal development K Girdhar, J Bendl, A Baumgartner, K Therrien, S Venkatesh, D Mathur, ... | 1 | 2023 |
| Alzheimer's disease transcriptional landscape in ex-vivo human microglia P Roussos, R Kosoy, J Fullard, J Bendl, S Kleopoulos, Z Shao, S Argyriou, ... | | 2024 |
| PrePCI: A structure- and chemical similarity-informed database of predicted protein compound interactions Stephen J Trudeau, Howook Hwang, Deepika Mathur, Kamrun Begum, Donald Petrey ... bioRxiv, http://doi.org/10.1101/2022.09.17.508184, 2022 | | 2022 |
