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1.
e-Pharmacophore modeling and in silico study of CD147 receptor against SARS-CoV-2 drugs by
Material type: Text Text; Format: print ; Literary form: Not fiction
Language: English
Publication details: 2023
Dissertation note: THIS THESIS BELONGS TO DEPARTMENT OF BIO TECHNOLOGY
Availability: Items available for loan: Central Library, NIT Jalandhar (1)Call number: 579 PA-E.

2.
In silico identification of drug targets and prediction of drug candidates for the treatment of Hepatocellular carcinoma by
Material type: Text Text; Format: print ; Literary form: Not fiction
Language: English
Publication details: 2023
Dissertation note: THIS THESIS BELONGS TO DEPARTMENT OF BIO TECHNOLOGY
Availability: Items available for loan: Central Library, NIT Jalandhar (1)Call number: 579 MA-S.

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