| Genome-scale metabolic modeling enables in-depth understanding of big data A Passi, JD Tibocha-Bonilla, M Kumar, D Tec-Campos, K Zengler, ... Metabolites 12 (1), 14, 2021 | 60 | 2021 |
| Crowd Sourcing a New Paradigm for Interactome Driven Drug Target Identification in Mycobacterium tuberculosis R Vashisht, AK Mondal, A Jain, A Shah, P Vishnoi, P Priyadarshini, ... PloS one 7 (7), e39808, 2012 | 47 | 2012 |
| In-silico predictive mutagenicity model generation using supervised learning approaches A Seal, A Passi, UCA Jaleel, ... Journal of cheminformatics 4, 1-11, 2012 | 28 | 2012 |
| Modeling of nitrogen fixation and polymer production in the heterotrophic diazotroph Azotobacter vinelandii DJ D Tec-Campos, C Zuñiga, A Passi, J Del Toro, JD Tibocha-Bonilla, ... Metabolic engineering communications 11, e00132, 2020 | 26 | 2020 |
| RepTB: a gene ontology based drug repurposing approach for tuberculosis A Passi, NK Rajput, DJ Wild, A Bhardwaj Journal of cheminformatics 10, 1-12, 2018 | 22 | 2018 |
| Assessing therapeutic potential of molecules: molecular property diagnostic suite for tuberculosis AS Gaur, A Bhardwaj, A Sharma, L John, MR Vivek, N Tripathi, ... Journal of Chemical Sciences 129, 515-531, 2017 | 20 | 2017 |
| Data-Driven Systems Level Approaches for Drug Repurposing: Combating Drug Resistance in Priority Pathogens A Passi, B Jolly, T Sharma, A Pandya, A Bhardwaj In Silico Drug Design, 229-253, 2019 | 2 | 2019 |
| Software Platform for Metabolic Network Reconstruction of Mycobacterium tuberculosis S Ghosh, Y Matsuoka, Y Asai, H Kitano, A Bhardwaj, V Scaria, R Vashisht, ... Systems Biology of Tuberculosis, 21-35, 2013 | 2 | 2013 |
| Computational drug repositioning identifies niclosamide and tribromsalan as inhibitors of Mycobacterium tuberculosis and Mycobacterium abscessus JJ Yang, A Goff, DJ Wild, Y Ding, A Annis, R Kerber, B Foote, A Passi, ... Tuberculosis, 102500, 2024 | | 2024 |
