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Showing 10 out of a total of 12 results for community: Computational Biology. (0.046 seconds)

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Machine learning based design of multi-targeting inhibitors for Alzheimer disease and structure based validation

Kumar, Virendra; Murugan, N Arul (Advisor) (IIIT-Delhi, 2024-06-01)
Development of the scoring function for protein ligand binding affinity by implementing graph-theory based approaches

Singh, Shikha; Murugan, N Arul (Advisor) (IIIT-Delhi, 2024-05-01)
Machine learning and tanimoto similarity based virtual screening of chemical libraries to develop novel PD therapeutics

Singhal, Divyanshi; Murugan, N Arul (Advisor) (IIIT-Delhi, 2024-05-01)
RNN based molecule generation for developing novel therapeutics for neurodegenerative diseases

Sibin; Vaishnavi; Murugan, N Arul (Advisor) (IIIT-Delhi, 2023-11-29)
Machine learning and deep learning models for solvation energy prediction

Tejas; Murugan, N Arul (Advisor) (IIIT-Delhi, 2023-08)
Computational design of multi-targeting lead-compounds to disrupt quorum sensing pathway for combating drug-resistant gramnegative bacteria superbugs

Yadav, Dilip Kumar; Murugan, N Arul (Advisor); Sharma, D K (Advisor) (IIIT-Delhi, 2023-12)
Assessment of data-driven and deterministic approaches for predicting bace-1 inhibitor binding affinities

S, Amaithi Priya; Murugan, N Arul (Advisor) (IIIT-Delhi, 2022-06)
Developing machine learning and deep learning models for predicting the thermal stability of proteins

Singh, Surabhi; Murugan, N Arul (Advisor) (IIIT-Delhi, 2024-05-01)
Machine learning and deep learning models for prediction of protein-ligand binding affinity

Kaur, Parneet; Murugan, N Arul (Advisor) (IIIT-Delhi, 2024-05-01)
Deep learning-based Alzheimer’s disease diagnostics using medical images

Seraj, Mohammad; Murugan, N Arul (Advisor); Subramanyam, A V (Advisor) (IIIT-Delhi, 2024-05-01)

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