Items where Author is "Mishra, Madhulika"

Article

Chedere, Adithya ; Mishra, Madhulika ; Kulkarni, Omkar ; Sriraman, Shrisruti ; Chandra, Nagasuma (2022) Personalized quantitative models of NAD metabolism in hepatocellular carcinoma identify a subgroup with poor prognosis Frontiers in Oncology, 12 . ISSN 2234-943X

Nagarajan, Deepesh ; Nagarajan, Tushar ; Roy, Natasha ; Kulkarni, Omkar ; Ravichandran, Sathyabaarathi ; Mishra, Madhulika ; Chakravortty, Dipshikha ; Chandra, Nagasuma (2018) Computational antimicrobial peptide design and evaluation against multidrug-resistant clinical isolates of bacteria Journal of Biological Chemistry, 293 (10). pp. 3492-3509. ISSN 0021-9258

Mishra, Madhulika ; Jayal, Priyanka ; Karande, Anjali A. ; Chandra, Nagasuma (2018) Identification of a co‐target for enhancing efficacy of sorafenib in HCC through a quantitative modeling approach FEBS Journal, 285 (21). pp. 3977-3992. ISSN 1742-464X

Nagarajan, Deepesh ; Nagarajan, Tushar ; Roy, Natasha ; Kulkarni, Omkar ; Ravichandran, Sathyabaarathi ; Mishra, Madhulika ; Chakravortty, Dipshikha ; Chandra, Nagasuma (2017) Computational antimicrobial peptide design and evaluation against multidrug-resistant clinical isolates of bacteria Journal of Biological Chemistry . No pp. given. ISSN 0021-9258

Sambarey, Awanti ; Devaprasad, Abhinandan ; Baloni, Priyanka ; Mishra, Madhulika ; Mohan, Abhilash ; Tyagi, Priyanka ; Singh, Amit ; Akshata, J. S. ; Sultana, Razia ; Buggi, Shashidhar ; Chandra, Nagasuma (2017) Meta-analysis of host response networks identifies a common core in tuberculosis npj Systems Biology and Applications, 3 . Article ID 3. ISSN 2056-7189

Conference or Workshop Item

Metri, Rahul ; Saxena, Shikhar ; Mishra, Madhulika ; Chandra, Nagasuma (2017) Modelling metabolic rewiring during melanoma progression using flux balance analysis In: IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 13-16 November 2017, Kansas City, MO, USA.

Sambaturu, Narmada ; Mishra, Madhulika ; Chandra, Nagasuma (2015) EpiTracer - an algorithm for identifying epicenters in condition-specific biological networks In: 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 9-12 November 2015, Washington, DC, USA.