Dr. Sohini Chakraborty Assistant Professor

Specialization

Onco-informatics and Neuro-informatics

Qualification

PhD

Teaching Experience

• Assistant Professor of Bioinformatics, REVA University – teaching computational and molecular biology, and mentoring translational research.
• Regional Ambassador, Breast Cancer Hub (USA) – promoting global cancer awareness and translational science.
• Teaching Assistant, Clariwell Global Services, Pune – clinical research, documentation, pharmacovigilance, and scientific writing.

Awards & Recognition

• DST International Travel Grant Recipient – Presented research at AACR Annual Meeting 2024, San Diego, USA.
• Multiple Best Presentation Awards – Best Oral Presentation (IACR Conference, Tata Memorial Centre, 2023); Best Poster at INBIX (2023), ICRABES (2022), IBS (2024).
• Best Young GGI Leader (2021) – Awarded by Green Governance Initiative for scientific and social leadership.
• Regional Ambassador (Assam) for Breast Cancer Hub (BCH), North Carolina, USA.
• Life Member of BIDDS (Bioinformatics and Drug Discovery Society) and Indian Pharmaceutical Society (IPS).

International Visits:

• AACR Annual Meeting – San Diego, USA (2024)
• IEEE-EMBS Conference – Orlando, USA (2024)
• GENEDIS Conference – Athens, Greece (2024)
• JOPP Conference – Bangkok, Thailand (2025)

Orcid ID

https://orcid.org/0009-0043-3767-5535

Vidwan ID/Profile URL

https://vidwan.inflibnet.ac.in/myprofile

Scopus ID/Google Scholar ID

58709515200

Publications In Refereed Journals

Key Publications (Only Q1 & Q2 rated):

• Chakraborty, S., Shakhapur, N.K., Banerjee, S. (2025). Comparative machine learning analysis for predicting organ tropism in breast cancer and identifying key gene signatures. Computers in Biology and Medicine, 110749. DOI: 10.1016/j.compbiomed.2025.110749 (Impact Factor: 6.3)
• Lipids: Driving Forces in the Underlying Biology of Carcinogenesis. ACS Pharmacology & Translational Science. DOI: 10.1021/acsptsci.5c00170 (Impact Factor: 4.4)
• Maima Matina, Rajeev K. Singla, Artur Jóźwik, Jarosław O. Horbańczuk, … Chakraborty, S., Atanasov, A.G. (2025). Health-promoting and medicinal properties of Zingiberaceae family plants. Current Research in Biotechnology (CRBIOT). DOI: 10.1016/j.crbiot.2025.100329 (Impact Factor: 4.4)
• Boyina, H.K., Chakraborty, S., Atrooz, O.K., et al. (2025). Zingiberaceae wonders: The antioxidant powerhouse for optimal health. Animal Science Papers and Reports, 43(1): 1–18. DOI: 10.2478/aspr-2025-0001 (Impact Factor: 1.1)
• Chakraborty, S., Banerjee, S. (2025). Bridging molecular insights and clinical application: non-coding RNAs, targeted drug delivery, and metastatic breast cancer therapy. Discover Oncology. DOI: 10.1007/s12672-025-03090-1 (Impact Factor: 2.9)

Other Publications:

• Chakraborty, S., Banerjee, S. Combatting cellular immortality in cancers by targeting the Shelterin protein complex. Biology Direct. DOI: [10.1186/s13062-024-00552-4] (Impact Factor: 5.7)
• Chakraborty, S., Sharma, G., Karmakar, S., Banerjee, S. (2024). Multi-OMICS approaches in cancer biology: New era in cancer therapy. Biochimica et Biophysica Acta (Molecular Basis of Disease), 1870. DOI: [10.1016/j.bbadis.2024.167120] (Impact Factor: 4.2)
• Chakraborty, S., Banerjee, S. Integrated in-silico approach to explore the therapeutic potential of RNAs and druggable polyphenols to mine alternative breast cancer therapeutic strategies targeting cancer hallmarks. Journal of Biomolecular Structure and Dynamics (In Press: 16/05/2024). (Impact Factor: 2.7)
• Chakraborty, S., Pramoda, N.S., Megotia, P., Rathore, T., Ahmad, S.F., Banerjee, S. Sesamolin, a Polyphenol with Potential Breast Cancer Therapeutic Benefits: Unveiling Insights through Structural Mining of Surfacesome Proteins. Journal of Functional Foods. (Impact Factor: 3.8)
• Chakraborty, S., Paul, U., Saha, D., Banerjee, S. An integrated approach to understanding the regulatory role of miR-27 family in breast cancer metastasis. BioSystems, 238. DOI: [10.1016/J.BIOSYSTEMS.2024.105200]. (Impact Factor: 2.0)
• Chakraborty, S., Banerjee, S. Multidimensional computational study to understand non-coding RNA interactions in breast cancer metastasis. Scientific Reports, 13. DOI: [10.1038/s41598-023-42904-6] (Impact Factor: 3.8)
• Chakraborty, S., Banerjee, S. Understanding crosstalk of organ tropism, tumour microenvironment and noncoding RNAs in breast cancer metastasis. Molecular Biology Reports, 50. DOI: [10.1007/s11033-023-08852-0] (Impact Factor: 2.6)
• Chakraborty, P., Niyanta, T., Ritankar, B., Satarupa. Identification and understanding association of differentially expressed RNA in Renal Cell Carcinoma. Research Journal of Biotechnology, 18. DOI: [10.25303/1810rjbt035040].
• Chakraborty, S., Banerjee, S. Bridging molecular insights and clinical application: non-coding RNAs, targeted drug delivery, and metastatic breast cancer therapy. Discover Oncology. DOI: [10.1007/s12672-025-03090-1]. (Impact Factor: 2.9)