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ORCIDRajasekaran Ramalingam
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2020 – today
- 2023
[j1]A. S. Vinutha, Rajasekaran Ramalingam:
Insight on the mechanism of hexameric Pseudin-4 against bacterial membrane-mimetic environment. J. Comput. Aided Mol. Des. 37(9): 419-434 (2023)- 2022
- [c5]Yanran Li, Chandrasekhar Gopalakrishnan, Jian Wang, Rajasekaran Ramalingam, Caixia Xu, Pengyong Han:
Glioblastoma Subtyping by Immuogenomics. ICIC (2) 2022: 116-125 - [c4]Chandrasekhar Gopalakrishnan, Caixia Xu, Yanran Li, Vinutha Anandhan, Sanjay Gangadharan, Meshach Paul, Chandra Sekar Ponnusamy
, Rajasekaran Ramalingam, Pengyong Han, Zhengwei Li:
Elucidating Quantum Semi-empirical Based QSAR, for Predicting Tannins' Anti-oxidant Activity with the Help of Artificial Neural Network. ICIC (2) 2022: 289-301 - [c3]Hailei Liu, Zhenqiong Chen, Chandrasekhar Gopalakrishnan, Rajasekaran Ramalingam, Pengyong Han, Zhengwei Li:
The Prognosis Model of Clear Cell Renal Cell Carcinoma Based on Allograft Rejection Markers. ICIC (2) 2022: 383-393 - 2021
- [c2]Chandrasekhar Gopalakrishnan, Caixia Xu, Pengyong Han, Rajasekaran Ramalingam, Zhengwei Li:
Delineating QSAR Descriptors to Explore the Inherent Properties of Naturally Occurring Polyphenols, Responsible for Alpha-Synuclein Amyloid Disaggregation Scheming Towards Effective Therapeutics Against Parkinson's Disorder. ICIC (3) 2021: 231-241 - 2020
- [c1]Chenxia Ren, Pengyong Han, Chandrasekhar Gopalakrishnan, Caixia Xu, Rajasekaran Ramalingam, Zhengwei Li:
Expression and Gene Regulation Network of ELF3 in Breast Invasive Carcinoma Based on Data Mining. ICIC (2) 2020: 514-523
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