Items where Subject is "Computational Biology"

Article

Amsaveni, S and Radha, Mahendran and Surya, G and Umashankar, Vetrivel and Luke Elizabeth, Hanna (2025) In-silico screening of potential targets from wound healing pathways against Hordenine and selected Bioisostere. SEEJPH, XXVII. pp. 621-669. ISSN 2197-5248

Amsaveni, Sivaprakasam and Radha, Mahendran and Manju, Lata and Krishna, Mohana and Sowmya, Jagadeesan (2025) The Neurobiology of Stress and Its Impact on Cognitive Function: A Review of Biomarkers and Early Detection Using Machine Learning Models. vascular and endovascular review, 8 (8). pp. 238-246.

Amsaveni, Sivaprakasam and Radha, Mahendran and Vidhya, Chandrasekaran and Dilip Kumar, Chanchal and Sojomon, Mathew and Mukesh Chandra, Sharma and Jailani, Shiekmydeen and Syed Salman, Ali (2024) Immune Modulation Strategies in Gene Therapy: Overcoming Immune Barriers and Enhancing Efficacy. Current Gene Therapy, 25.

Anbarasu, K and Radha, Mahendran and Sharath Kumar, R M (2019) COMPUTATIONAL INSIGHTS ON ANTIVIRAL RESISTANCE MECHANISM OF HIV-1 PROTEASE WITH GS-8374. INTERNATIONAL JOURNAL OF PHARMACEUTICAL SCIENCES AND RESEARCH, 10 (1). ISSN 23205148

Kiresee Saghana, P R and Shanmugavani, S. and Priya, R and Hasifa Banu, M (2025) Structure-Based Discovery Of Marine Natural Inhibitors Against AMPC Β-Lactamase Of Burkholderia Multivorans: An In Silico Pharmacological And Dynamic Simulation Study. International Journal of Environmental Sciences.

Mayuri, Kannan and Varalakshmi, Durairaj and Tharaheswari, Mayakrishnan and Somala, Chaitanya Sree and Senthil, Renganathan and Bharathkumar, Nagaraj and Priya, Selvaraj Sathya and Kushwah, Raja Babu Singh and Vickram, Sundaram and Anand, Thirunavukarasou and Saravanan, Konda Mani (2024) Identifying Potent Fat Mass and Obesity-Associated Protein Inhibitors Using Deep Learning-Based Hybrid Procedures. BioMedInformatics, 4 (1). pp. 347-359. ISSN 2673-7426

Nishandhini, Marimuthu and Viswanathan, T and Radha, Mahendran and Rathisre, P R and Suganya, J (2017) Advancing Plant-Based Anti-Cancer Drug Discovery through Hybrid Ensemble Models. International Journal Of Pharmaceutical Sciences and Research, 8 (9). ISSN 23205148

Ramalakshmi, Satyanarayana and Sathyapriya, Selvaraj and Senthil, Renganathan and Anand, Thirunavukarasou and Saravanan, Konda Mani (2025) Integrating Deep Learning and Molecular Dynamics to Identify GPR17 Ligands for Glioblastoma Therapy. Current Chemical Biology, 19 (1): 9916. pp. 38-49. ISSN 22127968

Saghana, P.R.Kiresee and Shanmugavani, S. and Priya, R. and Amudha, P. and Dhivya, V. (2026) In-Silico Approach Based Identification of Potential Bioactive Compounds from Phytochemicals as Inhibitors of Hbv- Mediated Hepatocellular Carcinoma. Research Journal of Pharmacy and Technology, 19 (3). pp. 1357-1364. ISSN 0974-3618

Surya, G and Amsaveni, S and Mahendran, Radha (2025) Anti-Inflammatory Potential of Anisomeles malabarica (L.): Integrated Phytochemical, ADMET and Molecular Docking Analysis Targeting IL-6. Asian Journal of Chemistry, 37 (11). pp. 2689-2696. ISSN 0970-7077

Swetha, Subramaniyan and Ling Shing, Wong and Prabhu, Narayanasamy Marimuthu and Agnal, Arumugam and Radha, Mahendran and Karthikeyan, Muthusamy (2025) Molecular insights and risk estimating computational database for Parkinson’s disease (PDASD). Network Modeling Analysis in Health Informatics and Bioinformatics (17).

Vardhana, Janakiraman and Priya, Rajan (2026) Computational screening of GC-MS-derived secondary metabolites from Botryodiplodia theobromae (Lasiodiplodia theobromae) as potential ERBIN inhibitors in breast cancer. DISCOVER CHEMISTRY.

Venkatachalam, Vasudevan and Senthil, Renganathan (2026) Computational Structural Analysis and Interaction Network Profiling of Lipases: Implications for Biomedical and Therapeutic Applications. Journal of Medico Informatics, 02 (Issue). pp. 6-13. ISSN 3108-2696

Book Section

Juhi, Saurabh and Radha, Mahendran and Fowziya, S. A. and Palanivelu,, M and Mohammed, Fallah and Vishalkumar, Sunilbhai Patel (2025) Leveraging Artificial Intelligence for Predictive Models in Personalized Healthcare. In: Transforming Healthcare with Artificial Intelligence. Springer, pp. 87-97. ISBN 1932-1228

Radha, Mahendran and Ramanakar Reddy, Danda and Asma, Anjum and Rashmi Abhay, Kamde and Bhagyashree, Shailesh Firake and Jayshree Suhas, Wasnik (2025) Optimizing Crop Traits with ANN and Genetic Innovations for Sustainable Agriculture. In: International Conference on Visual Analytics and Data Visualization (ICVADV-2025). IEEE, Francis Xavier Engineering College-Thirunelveli, pp. 1387-1392.

Shanmugavani, S (2026) Computational Analysis and Molecular Docking of Bioactive Compounds from Strobilanthes glutinosus Targeting the HER2 Receptor. In: Advanced Materials: Bridging Physics, Chemistry, Biosciences and Computational Modelling (AMBPC-2026). ACTA Classic Publisher, p. 72. ISBN ISBN: 978-81-994316-2-1

Shanmugavani, S and UNSPECIFIED1 and UNSPECIFIED1 and UNSPECIFIED1 and UNSPECIFIED1 (2025) Computational Nanomedicine: Bioinformatics-Driven Design of Nanocarriers for Targeted Drug Delivery. In: Bioradar proceedings 2025. A2Z Edu learning Hub. ISBN ISBN: 978-81-991683-8-1

Conference or Workshop Item

Eswaran, S. and Rajagopalan, S.P. (2011) A study of performance of longest common subsequence identification with sequence identity of biosequences. In: International Conference on Sustainable Energy and Intelligent Systems (SEISCON 2011), 20-22 July 2011, Chennai, India.

Book

Punitha, A and Amudha, P. and Jayaraman, G and Poojitha, B.N (2025) The Craft of Research: Methodological Approaches for Achieving Academic Excellence. Sudarmanipathipagam, India. ISBN 978-81-987513-5-5