Monday, March 6, 2023

Guest lecture in Computational Drug Design

 St. JOSEPH’S COLLEGE FOR WOMEN (A)

DEPARTMENT OF BIOCHMISTRY

CAREER COUNSELING/ GIEST LECTURE


Date- 7th March, 2023     Time- 9.45 to 11.30AM

Faculty Coordinators- Dr P. Mary Anupama, Head, Dept of Biochemistry and Dr Mousami Shankar Addala, Asst. Prof., Dept of Biochemistry


Guest speaker: Dr A. Krishna Chaitanya , Assistant Professor, Department of Biochemistry & Bioinformatics, Gitam School of sciences, Gitam Deemed to be University, Visakhapatnam


Topic- Computational Drug Design


Summary: Computational Drug Discovery or Computer Aided Drug Discovery ( CADD) is used for novel drug discovery. Drugs - medicines used for treatment or cure disease. It modifies body's function physically or physiologically. Eg: Paracetamol blocks inflammation pathway by blocking prostaglandin G. Drug discovery is process of finding a small molecule using combination of approaches 

Design - it is more rationale and targeted. Drug development. A process of performing clinical trials on animals and humans.Sources of drugs- Plants, animals and microbes

Traditional drug design and rational drug design.. differences

Steps in drug discovery- 

Target identification- By blocking cell wall synthesis, Folic acid metabolism, Protein synthesis, DNA replication,  

New drug targets- Cell envelope, Transcription, Signal transduction, Virulence, Translation

Cellular metabolism. Same can be applied for cancer cells and virus cells

Validation approaches .. best if expression profile method. There are many ways for validation approaches. Comparative genomics approach ... Network based approach.  

Lead identification through CADD approach- It is structure based and ligand based, Virtual screening and docking. Lower the energy.. higher the stability of the compound. Select one with low energy among all docked samples

SBDD .  Target ligand interactions

LBDD

Similarity search

Selection 

The distances and interactions between atoms of query and huts is done

QSAR- quantitative structure activity relationship

Clinical trials. phases 1 to 3
























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