Computational & 

Systems Biology Lab


Leishmaniasis

Lab CSB is dedicated to finding better ways to treat and prevent Leishmaniasis. Our innovative approach combines Systems Biology, Synthetic Circuit and Peptide Design to identify and develop effective treatments. Our team is comprised of researchers and engineers from all over India, and all of us are passionate about finding new solutions that can make a difference in people’s lives. 

Biochemical Journal

Kabra, R., Ingale, P., & Singh, S. (2020).

Computationally designed synthetic peptides for transporter proteins imparts allostericity in Miltefosine resistant L. major. 

The Biochemical journal, 477(10), 2007–2026. PMID: 32391551

https://doi.org/10.1042/BCJ20200176

The Protein Journal 

Kumar, A., Nimsarkar, P., & Singh, S. (2022).

 Probing the Interactions Responsible for the Structural Stability of Trypanothione Reductase Through Computer Simulation and Biophysical Characterization. 

The protein journal, 41(2), 230–244. PMID: 35364760

https://doi.org/10.1007/s10930-022-10052-x

Biochimica et Biophysica Acta (BBA) 

Jawale, D., Khandibharad, S., & Singh, S. (2023).

Decoding systems immunological model of sphingolipids with IL-6/IL-17/IL-23 axes in L. major infection. 

Biochimica et biophysica acta. Molecular and cell biology of lipids, 1868(2), 159261. PMID: 36494028

https://doi.org/10.1016/j.bbalip.2022.159261

Khandibharad, S., & Singh, S. (2022).

Artificial intelligence channelizing protein-peptide interactions pipeline for host-parasite paradigm in IL-10 and IL-12 reciprocity by SHP-1. 

Biochimica et biophysica acta. Molecular basis of disease, 1868(10), 166466. PMID: 35750267

https://doi.org/10.1016/j.bbadis.2022.166466

Oncology

Lab CSB is committed to advancing the field of computational oncology. Our team is made up of experts from a variety of scientific backgrounds, including computer science, biomedical engineering, and molecular biology. Our research focuses on understanding the molecular pathways that are involved in the development of cancer and harnessing this knowledge to develop new treatments and therapies. Devising a combination of traditional and advanced technology to build predictive models to create meaningful solutions that can improve Onco-therapeutics. 

Translational Oncology 

Gulhane, P., & Singh, S. (2023).

Unraveling the Post-Translational Modifications and therapeutical approach in NSCLC pathogenesis. 

Translational oncology, 33, 101673. PMID: 37062237; PMCID: PMC10133877

https://doi.org/10.1016/j.tranon.2023.101673

Frontiers in oncology 

Samarth, N., Gulhane, P., & Singh, S. (2022).

Immunoregulatory framework and the role of miRNA in the pathogenesis of NSCLC - A systematic review. 

Frontiers in oncology, 12, 1089320. PMID: 36620544; PMCID: PMC9811680

https://doi.org/10.3389/fonc.2022.1089320

Oncotarget

Gulhane, P., Nimsarkar, P., Kharat, K., & Singh, S. (2022). 

Deciphering miR-520c-3p as a probable target for immunometabolism in non-small cell lung cancer using systems biology approach. Oncotarget, 13, 725–746. PMID: 35634241; PMCID: PMC9131939. 

 https://doi.org/10.18632/oncotarget.28233 

Journal of Cellular Biochemistry

Gulhane, P., & Singh, S. (2022). 

MicroRNA-520c-3p impacts sphingolipid metabolism mediating PI3K/AKT signaling in NSCLC: Systems perspective. 

Journal of cellular biochemistry, 123(11), 1827–1840. PMID: 35977046 

https://doi.org/10.1002/jcb.30319