Discovery of DNA Targeting Drug Candidates Using AI/ML Tools
Professor: Pradeepkumar P.I.
UID: CH01
Machine Learning for industrial chemical process
Professor: Debabrata Maiti
UID: CH02
Machine Learning Guided Chemical Synthesis
Professor: Debabrata Maiti
UID: CH03
CH01
Description: G-quadruplexes (G4) are secondary structures
formed Guanine rich sequences in the genome. Stabilizing of
these structures can lead to gene down regulation. Therefore,
they are being developed as new anti cancer drug targets. This
project envisages use of state-of-the art AI/ML tools to find G4
stabilizers having drug like properties
Number of students: 1
Year of study: Students entering 3rd year, Students
entering 4th/5th year
CPI: 7.5
Prerequisites: Interest to learn biological chemistry,
AI/ML tools and molecular modeling
Duration:6 months-1 year
Learning outcome:
Weekly time commitment:10-20 hrs
General expectations:
General expectations:
Instructions for assignment:
CH02
Description:We are developing new methodologies relevant
to industrial chemical process guided by machine learning
Number of students: 5
Year of study: Students entering 2nd year, Students
entering 3rd year, Students entering 4th/5th year
CPI eligibility criteria: none
Prerequisites: none
Duration: 6 months.
Learning outcome:
Weekly time commitment:14 h
General expectations:
Assignment:
Instructions for assignmen:
CH03
Description:Machine Learning Guided Chemical Synthesis
Number of students: 4
Year of study: Students entering 4th/5th year
CPI eligibility criteria: 7
Prerequisites: none
Duration: 1 year
Learning outcome: Machine Learning Guided Chemical
Synthesis
Weekly time commitment:20 h
General expectations: Machine Learning Guided Chemical
Synthesis
Assignment: Machine Learning Guided Chemical Synthesis