Journals · Preprints · Book Chapters
4
Journal Articles
2
Preprints
1
Book Chapter
1
Under Preparation
Maiti, S., Rangarajan, A. and Kareenhalli, V. (2024). Experimentally-driven mathematical model to understand the effects of matrix deprivation in breast cancer metastasis. npj Systems Biology and Applications, 10(1), p.132.
Maiti, S., Khillar, P.S., Mishra, D., Nambiraj, N.A. and Jaiswal, A.K. (2021). Physical and self-crosslinking mechanism and characterization of chitosan-gelatin-oxidized guar gum hydrogel. Polymer Testing, 97, p.107155.
Karuppasamy, R., Veerappapillai, S., Maiti, S., Shin, W.H. and Kihara, D. (2021). Current progress and future perspectives of polypharmacology: From the view of non-small cell lung cancer. Seminars in Cancer Biology, Vol. 68, pp. 84–91.
Karuppasamy, R., Maiti, S., Veerappapillai, S., Shin, W.H. and Kihara, D. (2019). Implementation of pharmacophore-based 3D QSAR model and scaffold analysis in order to excavate pristine ALK inhibitors. Medicinal Chemistry Research, 28, 1726–1739.
Kumar, S., Maiti, S., Banerjee, D., Hari, K., Jolly, M.K. and Rangarajan, A. (2026). Feedback loops involving AMPK, ERK and TFEB in matrix detachment leads to non-genetic heterogeneity. bioRxiv, 736546.
Maiti, S., Chedere, A., Jolly, M.K., Chandra, N. and Rangarajan, A. (2025). Balance between autophagy and apoptosis determines anoikis resistance: a mathematical model on cell fate. bioRxiv, pp. 2025–06.
Understanding metabolic adaptations that enable survival of matrix-deprived cancer cells.
Maiti, S., Banerjee, D., and Rangarajan, A.
Balasundaram, P., Kanagavelu, R., James, N., Maiti, S., Veerappapillai, S. and Karuppaswamy, R. (2018). Implementation of a pipeline using disease-disease associations for computational drug repurposing. In Computational Methods for Drug Repurposing (pp. 129–148). Springer New York.