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Ms. Madhmita Aggunna

B.Tech. (Biotechnology)

Juniorette Assistant Professor,

Head of the Branch (HoB),

Multiomics-Oncology & Immunotherapy Branch, 

Department of Intramural Research Core (IRC)

The Center for Advanced-Applied Biological Sciences & Entrepreneurship (TCABS-E), Visakhapatnam (A.P.) India.

Telephone: +91 8660301662; Email: aggunnamadhumita(at)gmail(dot)com.

NIH Biosketch coming soon...

Research Interests: Applications of multiomics to Oncology & Immunotherapy.

According to the International Agency for Research on Cancer (IARC), the number of cancer patients rose to 17.0 million and there are 9.5 million deaths due to cancer worldwide. The immune system is a complex network of defense mechanisms against foreign bodies and also terminally differentiated cancer cells. The immune system can distinguish foreign bodies and cancer cells from healthy cells except in the tumor microenvironment (TME). Cancer-Immunotherapy (Can-IT) is a biologics-based therapy for the treatment of diseases by modulating the immune system. Can-IT is an excellent synergistic approach along with chemotherapy either with/without radiation. Failure in patient response to Can-IT has been a challenging medical task to date. Although different research groups have evaluated various reasons for the failure of Can-IT, we believe that more accuracy can be achieved by using a multi-omics approach for a deeper investigation and analysis. Thus, we propose an Immunomics-based approach that considers multi-omics for the evaluation of patient’s immune system in the context of Can-IT.

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Publications (Listed Chronologically)

  1. Aggunna, M., Yedidi, R.S. (2020) The OMICAS, Can-IT: Onco-Molecular Immunotherapeutic Constellation Analytics Spectrum in Cancer Immunotherapy. TCABSE-J, Spl. issue 1:24-26. Epub: Oct 25th , 2020.            (View publication)

  2. Aggunna, M., Yedidi, R.S. (2021) Circos plot: a colourful depiction of highly knotty and convoluted scientific data. TCABSE-J, Vol. 1, Issue 2:33-34. Epub: Oct 15th, 2021. (View publication)

  3. Aggunna, M., Yedidi, R.S. (2021) HelicoTAC©, a PROTAC-based small molecule targeting the virulence factor Cag A of H. pylori as a potential therapeutic for gastritis and gastric cancers. TCABSE-J, Vol. 1, Issue 3:46-48. Epub: Apr 2nd, 2022. (View publication)

  4. Aggunna, M., Grandhi, V.K.S.A., Yedidi, R.S. (2022) Artistic representation of scientific data: prediction of mutant SARS-CoV-2 viral fitness based on the viral spike protein coding mRNA stability. TCABSE-J, Vol. 1, Issue 3:1-3. Epub: Apr 2nd, 2022. (View publication)

  5. Gampa, S., Aggunna, M., Grandhi, A.V.K.S., Adduri, V., Ayithamsetti, P., Korabu, M., Addala, S., Vissapragada, M., Palakurty, M., Yedidi, R.S.  (2022) Increase in the predicted mRNA stability of certain SARS CoV-2 mutant spike proteins compared to wild type may pose potential risk to vaccines. TCABSE-J, Vol. 1, Issue 3:4-9. Epub: Apr 2nd, 2022. (View publication)

  6. Aggunna, M., Yedidi, R.S. (2022) In silico quantitative structure-activity relationship analysis of a highly potent experimental HIV-1 protease inhibitor, GRL10413. TCABSE-J, Vol. 1, Issue 3:10-17. Epub: Apr2nd , 2022. (View publication)

  7. Addala, S., Vissapragada, M., Aggunna, M., Mukala, N., Lanka, M., Gampa, S., Sodasani, M., Chintalapati, J., Kamidi, A., Veeranna, R.P., Yedidi, R.S. (2022) Success of Current COVID-19 Vaccine Strategies vs. the Epitope Topology of SARS-CoV-2 Spike Protein-Receptor Binding Domain (RBD): A Computational Study of RBD Topology to Guide Future Vaccine Design. Vaccines. 2022; 10(6):841. https://doi.org/10.3390/vaccines10060841

  8. Vissapragada, M., Addala, S., Aggunna, M., Mukala, N., Chintalapati, J., Kamidi, A., Korabu, M. S., Lanka, M., Palla, H., Sodasani, M., Grandhi, A. V. K. S., Unnisa, A., Adhikari, A., Kumpatla, A. D., Yerabolu, B., Paidi, C., Pemmadi, G., Penta, H., Mallavalli, H., Gadigoyala, K., Voleti, M., Ravilisetty, M., Akula, N., Gundubogula, P., Puripanda, P., Lankapalli, P., Sandipamu, P., Nagraj, R., Tamarala, R., Geddam, R., Kolluru, R., Oggu, R., Garbhapu, R., Meka, S., Geddam, S., Viyyapu, S., Sammangi, S., Javvaji, S., Chattopadhyay, S., Inemella, S., Grandhi, V., Chigilipalli, Y., Puppala, Y. C., Sharma, M. H., Gubbala, S., Thakur, K., Aanaparthi, S., Pothula, B. and Yedidi, R.S. (2023). In silico analysis of molnupiravir usage vs. efficacy of COVID-19 vaccines. TCABSE-J, Vol. 1, Issue 5:1-14. Mar 22nd, 2023. Epub: Oct 20th, 2022. (View publication)

  9. Mukala, M., Aggunna, M., and Yedidi, R. S. (2023). Sequence homology-based identification of paracetamol metabolizing enzymes in chicken liver homogenates for in vitro drug metabolism studies. TCABSE-J, Vol. 1, Issue 5:12-19. Mar 22nd, 2023. Epub: Oct 25th, 2022. (View publication)