Keretsu, S., Hana, T., Lee, A., Kedei, N., Malik, N., Kim, H., … Terabe, M. (2025).
Characterization of MAIT cells in glioblastoma reveals a potential immunosuppressive role through a
MAIT–Neutrophil axis. Neuro-Oncology Advances, vdaf173.
DOI
Keretsu, S., & Sarmah, R. (2016).
Weighted edge based clustering to identify protein complexes in protein–protein interaction networks
incorporating gene expression profile. Computational Biology and Chemistry, 65, 69–79.
DOI
Keretsu, S., Bhujbal, S. P., & Cho, S. J. (2019).
Computational study of paroxetine-like inhibitors reveals new molecular insight to inhibit GRK2 with
selectivity over ROCK1. Scientific Reports, 9(1), 1–14.
DOI
Keretsu, S., Bhujbal, S. P., & Cho, S. J. (2019).
Docking and 3D-QSAR studies of hydrazone and triazole derivatives for selective inhibition of GRK2
over ROCK2. Letters in Drug Design & Discovery, 17(5), 618–632.
DOI
Keretsu, S., Bhujbal, S. P., & Cho, S. J. (2020).
Molecular modeling studies of pyrrolo[2,3-d]pyrimidin-4-amine derivatives as JAK1 inhibitors based on
3D-QSAR, molecular docking, molecular dynamics and MM-PBSA calculations.
Journal of Biomolecular Structure and Dynamics, 1–13.
DOI
Keretsu, S., Bhujbal, S. P., & Cho, S. J. (2020).
Rational approach toward COVID-19 main protease inhibitors via molecular docking, molecular dynamics
simulation and free energy calculation. Scientific Reports, 10, 17716.
DOI
Keretsu, S., Ghosh, S., & Cho, S. J. (2020).
Molecular modelling study of c-KIT/PDGFRα dual inhibitors for the treatment of gastrointestinal
stromal tumors. International Journal of Molecular Sciences, 21(21), 8232.
DOI
Other Publications
Keretsu, S., & Sarmah, R. (2017).
Identification of protein complexes in protein–protein interaction networks by core-attachment
approach incorporating gene expression profile.
International Journal of Bioinformatics Research and Applications, 13(4), 313–328.
DOI
Keretsu, S., Balasubramanian, P. K., Bhujbal, S. P., & Cho, S. J. (2017).
Receptor-guided 3D-QSAR and docking studies of 6-substituted 2-arylaminopurines as CDK2 kinase
inhibitors. Bulletin of the Korean Chemical Society, 38(11), 1275–1284.
DOI
Bhujbal, S. P., Keretsu, S., & Cho, S. J. (2019).
Receptor-guided 3D-QSAR study of anilinoquinazolines as RET receptor tyrosine kinase antagonists.
Bulletin of the Korean Chemical Society, 40(3), 207–213.
DOI
Bhujbal, S. P., Keretsu, S., & Cho, S. J. (2019).
Macrocyclic effect on inhibitory activity: a modeling study on MerTK inhibitors.
Medicinal Chemistry Research, 1–16.
DOI
Bhujbal, S. P., Keretsu, S., & Cho, S. J. (2019).
A combined molecular docking and 3D-QSAR studies on tetrahydropteridin derivatives as PLK2
antagonists. Bulletin of the Korean Chemical Society, 40(8), 796–802.
DOI
Bhujbal, S. P., Keretsu, S., & Cho, S. J. (2019).
Design of new therapeutic agents targeting FLT3 receptor tyrosine kinase using molecular docking and
3D-QSAR approach. Letters in Drug Design & Discovery, 17(5), 585–596.
DOI
Keretsu, S., Bhujbal, S. P., & Cho, S. J. (2020).
Computational study of pyrimidin-2-aminopyrazol-hydroxamate based JAK2 inhibitors for the treatment of
myeloproliferative neoplasms. Bulletin of the Korean Chemical Society, 41(5), 542–551.
DOI
Bhujbal, S. P., Keretsu, S., & Cho, S. J. (2019).
Molecular modelling studies on pyrazole derivatives for the design of potent RET kinase inhibitors.
Molecules.
DOI