Awards & Honours
- Machine learning approach for druggability prediction and prioritization of essential hypothetical genes in Plasmodium falciparum genome and virtual screening of
PATHOGEN BOX small molecule inhibitors through molecular modeling study”
approved by SERB, Govt. of India under MATRICS scheme from 2022-2025.
- Development of Electronic Medical Record (EMR) registry and machine learning
model for prediction of diabetic nephropathy using renal biomarkers and clinical
data” approved by ICMR, Govt. of India under Ad-hoc scheme from 2023-2026.
- Development of an Electronic Medical Record (EMR) registry and AI (Artificial
Intelligence) model for prediction of mortality in liver cirrhosis using hepatic
biomarkers and clinical data” approved by SERB, Govt. of India under CRG
scheme from 2023-2026
- SERB International Research Experience (SIRE) fellowship by DST, Govt. of
- Best oral presentation award in the national seminar held on the occasion of 22 nd , 19 th Odisha Bigyan ‘O’ Paribesh Congress (2021 & 2017) and 16 th Odisha Bigyan Congress (2013).
- Adjudged as ‘A’ grade employee and letter for appreciation based on the
performance by the reviewing authority of KIIT Deemed to be University,
Bhubaneswar (An Institute of Eminence recognised by UGC, New Delhi).
- Awarded travel grant (DBT/CTEP/02/201100924) from Department of
Biotechnology, Government of India to participate in InCOB-2011 from 30 th Nov-2 nd
Dec, 2011 at Kuala Lumpur, Malaysia.
- Studentship sponsored by Department of Biotechnology, Government of India for
pursuing Adv. PG Diploma in Bioinformatics for the academic year 2005-06.
- Recognized as an external examiner of Sambalpur University and visiting professor
of Ramadevi Women’s University for the subject Bioinformatics and advisory board
member of Department of Bioinformatics, BJB(Autonomous) College, Bhubaneswar.
1. Aregitu Mekuriaw Arega , Ajit Kumar Dhal, Kali Prasad Pattanaik, Sasmita Nayak, Rajani Kanta Mahapatra*(2023).An immunoinformatic based study of Mycobacterium tuberculosis Region of Difference-2 uncharacterized protein (Rv1987) as a potential subunit vaccine candidate for preliminary ex-vivo analysis. Applied Biochemistry and Biotechnology (Accepted) IF:3.0
2. Mohammad Mustafa Kazan, Misgana Mengistu Asmare, Rajani Kanta Mahapatra*(2023). Identification of potential drug targets in erythrocyte invasion pathway of Plasmodium falciparum. Current Microbiology 80(5):165. IF:2.6
3. Ssemuyiga Charles, Mulumba Pius Edgar, Rajani Kanta Mahapatra*(2023). Artificial intelligence based virtual screening study for competitive and allosteric inhibitors of the SARS-CoV-2 main protease. J of Biomolecular Structure and Dynamics (Accepted), DOI:
4. Chinmaya Panda, Rajani Kanta Mahapatra*(2023). Bi-directional relationship between autophagy and inflammasomes in neurodegenerative disorders. Cellular and Molecular
Neurobiology, 43(1):115–137, IF:4.0
5. Ajit Kumar Dhal, Chinmaya Panda, Soon-IL Yun*, Rajani Kanta Mahapatra** (2022). An update on Cryptosporidium biology and therapeutic avenue. J of Parasitic
6. Chinmaya Panda, Rajani Kanta Mahapatra* (2022). An update on cerebral malaria for therapeutic intervention. Molecular Biology Reports, 49(11):10579–10591 IF:2.8
7. Aregitu Mekuriaw Arega, Ajit Kumar Dhal, Sasmita Nayak, Rajani Kanta Mahapatra* (2022). In silico and in vitro study of Mycobacterium tuberculosis H37RV uncharacterized protein (RipD): an insight on tuberculosis therapeutics. J of Molecular Modeling, 28(6):171, DOI: https://doi.org/10.1007/s00894-022-05148-1 IF:2.2
8. Ajit Kumar Dhal, Glenn M Young, Soon-IL Yun*, Rajani Kanta Mahapatra* (2022). Computational analysis of Elongation Factor-2 (EF-2) protein of Cryptosporidium parvum for identification of therapeutics. Biologia, 77(5): 1447–1457 IF:1.5
9. Misgana Mengistu Asmare, Nitin Nitin, Soon-IL Yun*, Rajani Kanta Mahapatra** (2022). QSAR and DEEP LEARNING model for virtual screening of potential inhibitors against Inosine 5’ Monophosphate dehydrogenase (IMPDH) of Cryptosporidium parvum. J of Molecular Graphics and Modeling, 111:108108 IF:2.9
10. Nitika Pradhan, Rajani Kanta Mahapatra, Rupenangshu. K Hazra (2022). The Plasmodium falciparum infection status of two major anopheline vectors in three hyper- meso-, and hypoendemic districts in Odisha, India. The Canadian Entomologist, 154(1) e16 IF: 0.9
11. Aregitu Mekuriaw Arega, Rajani Kanta Mahapatra* (2021). Glycoconjugates, hypothetical proteins and post translational modification: impact in host pathogen interaction and antitubercular intervention development. Chemical Biology and Drug Design,98(1):30–48 IF:3.0
12. Aregitu Mekuriaw Arega, Kali Prasad Pattanaik, Sasmita Nayak, Rajani Kanta Mahapatra* (2021). Computational discovery and experimental validation of novel immunogenic vaccine candidates against tuberculosis. Acta Tropica. 217:105870 IF:2.7
13. Ajit Kumar Dhal, Alok Pani, Soon-IL Yun*, Rajani Kanta Mahapatra* (2020). In silico analysis of Cryptosporidium parvum CDPK6 protein through molecular modeling, docking and molecular dynamics simulation study. J of Bimolecular Structure and Dynamics, 39(15): 5461–5470 IF:4.4
14. Rajani Kanta Mahapatra*, Mahin Das (2020). A computational approach to validate novel drug targets of gentianine from Swertiya chirayita in Plasmodium falciparum. BioSystems,196: 104175 IF:1.6
15. Ajit Kumar Dhal, Alok Pani, Rajani Kanta Mahapatra*, Soon-IL Yun* (2019). An immunoinformatics approach for design and validation of multi-subunit vaccine against Cryptosporidium parvum. Immunobiology, 224(6):747–757 IF:2.8
16. Somdeb Chattopadhyay, Rajani Kanta Mahapatra* (2019). Identification of adaptive inhibitors of Cryptosporidium parvum fatty acyl-coenzyme A synthetase isoforms by virtual screening. Parasitology Research, 118(11):3159-3171 IF:2.0
17. Subhashree Rout, Rajani Kanta Mahapatra* (2019). In silico study of M18 aspartyl amino peptidase of Plasmodium vivax as therapeutic candidate. Bio-organic and Medicinal Chemistry,27(12):2553-2571 IF: 3.5
18. Subhashree Rout, Rajani Kanta Mahapatra* (2019). Plasmodium falciparum: Multidrug resistance. Chemical Biology and Drug Design, 93(5):737-759. IF: 3.0
19. Subhashree Rout, Rajani Kanta Mahapatra* (2018). In silico analysis of Plasmodium falciparum CDPK5 protein through molecular modeling, docking and dynamics simulation. J of Theoretical Biology, 461: 254–267. IF: 2.0
20. Ajit Kumar Dhal, Alok Pani, Rajani Kanta Mahapatra*, Soon-IL Yun* (2018). In silico screening of novel small molecule inhibitors against Lactate Dehydrogenase (LDH) of Cryptosporidium parvum. Computational Biology and Chemistry,77:44-51. IF:3.1
21. Chinmaya Panda, Rajani Kanta Mahapatra* (2018). Identification of novel therapeutic candidates in Cryptosporidium parvum: An in-silico approach. Parasitology 145(14):1907-1916. IF: 2.4
22. Subhashree Rout, Namrata Priyadarshini Patra, Rajani Kanta Mahapatra* (2017). An in-silico strategy for identification of novel drug targets in Plasmodium falciparum. Parasitology Research, 116(9): 2539–2559. IF: 2.0
23. Arpit Kumar Shirvastava, Subrat Kumar, Priyadashi Soumyaranhan Sahu*, Rajani Kanta Mahapatra* (2017). In silico identification and validation of a novel hypothetical protein in Cryptosporidium hominis and virtual screening of inhibitors as therapeutics. Parasitology Research, 116(5): 1533-1544. IF: 2.0
24. Sandeep Kumar Panda, Rajani Kanta Mahapatra* (2017). In-silico screening, identification and validation of a novel vaccine candidate in the fight against Plasmodium falciparum. Parasitology Research, 116(4):1293-1305. IF: 2.0
25. Subhashree Rout, Rajani Kanta Mahapatra* (2016). In-silico screening of novel inhibitor of M17 Leucine Amino Peptidase (LAP) of Plasmodium vivax as therapeutic candidate. Biomedicine & Pharmacotherapy, 82:192–201. IF:7.5
26. Jugal Kishore Das, Rajani Kanta Mahapatra, Subhranshu Patro, Chandan Goswami, Mrutyunjay Suar* (2016). Lactobacillus acidophilus binds to MUC3 component of cultured intestinal epithelial cells with highest affinity. FEMS Microbiology Letters, 363(8). IF: 2.1
27. Himanshu Bhusan Samal, Jugal Kishore Das, Rajani Kanta Mahapatra*, Mrutunjay Suar* (2015). Molecular modeling, simulation and virtual screening of MurD ligase protein from Salmonella Typhimurium LT2. J of Pharmacological and Toxicological Methods, 73: 34-41 IF:1.9
28. Himanshu Bhusan Samal, Jyoti Prava, Mrutunjay Suar, Rajani Kanta Mahapatra* (2015). Comparative genomics analysis of Salmonella Typhimurium LT2 for the identification of putative therapeutic candidate. J. of Theoretical Biology, 369:67-79 IF: 2.0
29. Subhashree Rout, David Charles Warhurst, Mrutyunjay Suar, Rajani Kanta Mahapatra* (2015). In-silico comparative genomics analysis of Plasmodium falciparum for the identification of putative essential genes and therapeutic candidates. J. of Microbiological Methods, 109: 1-8. IF: 2.2
30. Soma Ghosh, Jyoti Prava, Himanshu Bhusan Samal, Mrutunjay Suar, Rajani Kanta Mahapatra* (2014). Comparative genomics for the identification of drug and vaccine targets in Staphylococcus aureus. MurA ligase enzyme as a proposed candidate. J. of Microbiological Method, 101:1-8. IF: 2.2
31. Parmita Chawley, Himanshu Bhusan Samal, Jyoti Prava, Mrutunjay Suar, Rajani Kanta Mahapatra* (2014). Comparative genomics study for identification of drug and vaccine targets in Vibrio cholerae: MurA ligase as a case study. Genomics, 103(1):83-93 IF: 4.4 (Illustrated on the cover page of the journal)
32. Alok Pani, Rajani Kanta Mahapatra* (2013). Computational identification of miRNAs and their targets in Catharanthus roseus expressed sequence tags. Genomics Data,1:2-6
33. Alok Pani, Rajani Kanta Mahapatra*, Niranjan Behera and Pradeep Kumar Naik (2011). Computational identification of Sweet Wormwood (Artemisia annua) miRNA and their mRNA targets. Genomics, Proteomics & Bioinformatics, 9(6): 200-210. IF:9.5