Narendra Suhas Jagannathan (Suhas) is a postdoctoral fellow in the Tucker-Kellogg lab who works on computational modelling of biological processes. Suhas did his PhD in the Singapore-MIT Alliance - Computational and systems biology programme. His work (past and current) has primarily focused on developing and applying computational tools for metabolic network modelling, analysis of cancer cell phenotype transitions, and structural biology of disordered proteins.
Jagannathan, N. S. et al. Transcompp : understanding phenotypic plasticity by estimating Markov transition rates for cell state transitions. Bioinformatics 36, 2813–2820 (2020).
Jagannathan, N. S., Hogue, C. W. V. & Tucker-Kellogg, L. Computational modeling suggests binding-induced expansion of Epsin disordered regions upon association with AP2. PLoS Comput Biol 17, e1008474 (2021).
Jagannathan, N. S., Hogue, C. W. V. & Tucker-Kellogg, L. De novo ensemble modeling suggests that AP2-binding to disordered regions can increase steric volume of Epsin but not Eps15. Pac Symp Biocomput 25, 183–194 (2020).
Zhang, S. et al. Mitochondrial peptide BRAWNIN is essential for vertebrate respiratory complex III assembly. Nat Commun 11, 1312 (2020).
Alok, A. et al. Wnt proteins synergize to activate β-catenin signaling. J Cell Sci 130, 1532–1544 (2017).
Jagannathan, N. S. & Tucker-Kellogg, L. Membrane permeability during pressure ulcer formation: A computational model of dynamic competition between cytoskeletal damage and repair. Journal of Biomechanics 49, 1311–1320 (2016).
Erady, C. et al. Pan-cancer analysis of transcripts encoding novel open-reading frames (nORFs) and their potential biological functions. npj Genom. Med. 6, 4 (2021).