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Niranjan V, Uttarkar A, Ramakrishnan A, Muralidharan A, Shashidhara A, Acharya A, Tarani A, Kumar J. De Novo Design of Anti-COVID Drugs Using Machine Learning-Based Equivariant Diffusion Model Targeting the Spike Protein. Current Issues in Molecular Biology. 2023; 45(5):4261-4284. https://doi.org/10.3390/cimb45050271

Niranjan, Vidya, Akshay Uttarkar, Ananya Ramakrishnan, Anagha Muralidharan, Abhay Shashidhara, Anushri Acharya, Avila Tarani, and Jitendra Kumar. 2023. "De Novo Design of Anti-COVID Drugs Using Machine Learning-Based Equivariant Diffusion Model Targeting the Spike Protein" Current Issues in Molecular Biology 45, no. 5: 4261-4284. https://doi.org/10.3390/cimb45050271

Niranjan, V., Uttarkar, A., Ramakrishnan, A., Muralidharan, A., Shashidhara, A., Acharya, A., Tarani, A., & Kumar, J. (2023). De Novo Design of Anti-COVID Drugs Using Machine Learning-Based Equivariant Diffusion Model Targeting the Spike Protein. Current Issues in Molecular Biology, 45(5), 4261-4284. https://doi.org/10.3390/cimb45050271