INSTRUCTIONS - PROFESSORS: Please print and review this form. Complete or correct the sections, as applicable, from "Supervisor's Name" to "Ethics, safety, and training". Please sign and date near the bottom ("Supervisor's signature").
INSTRUCTIONS - STUDENTS: You may receive this form by email, or you may download it after it has been posted here. Either way, print and review this form. Complete or correct the sections, from "Student's Name" to "Student's Level", and sign ("Student signature"). Ask your supervisor to sign her/his section near the bottom. Take it to the department* corresponding to the course number in Section A; this may or may not be your own department. (* EXCEPTIONS: For NSCI 396 and COGS 396, please bring it to the Interdisciplinary Programs Adviser in Dawson Hall.) Do not register for a '396' course on Minerva until you receive departmental permission. Have a discussion with your supervisor about time/work expectations, keeping in mind that this is a 3-credit course (roughly, 10 hours per week for 12 weeks). Remember that a '396' course is an elective.
INSTRUCTIONS - DEPARTMENTS: After the unit chair/director/designate approves (or not) this project, please notify student. If approved, please give student permission to register on Minerva, and send a copy of this form (with signatures) to the Office for Undergraduate Research in Science (either fax, or internal mail to Dawson Hall 408-A, or PDF scan + email).
QUESTIONS OR FEEDBACK? Contact the Office for Undergraduate Research in Science.
Supervisor's Name: Nicolas Moitessier
Supervisor's Email: nicolas [dot] moitessier [at] mcgill [dot] ca
Supervisor's Phone: 514 398 8543
Supervisor's Website: moitessier-group.mcgill.ca
Supervisor's department: Chemistry
Course number: CHEM 396 (Chemistry)
Term: Fall 2013-2014
Project start date: Tuesday, September 3, 2013
Project end date: Tuesday, December 3, 2013
Project title: Novel computational methods for the design of biocatalysts
Project description (50-100 words suggested): Biocatalysts (enzymes) are greener, easier and often more selective than metal catalysts and organocatalysts. However their development is difficult and lengthy. Traditionally, thousands of enzyme mutants have to be generated and tested before identifying an efficient biocatalyst if any. We propose to develop a computational method to design efficient biocatalysts by identifying the optimal mutations of a known enzyme.
Prerequisite: 1 term completed at McGill + CGPA of 3.0 or higher; or permission of instructor.
Grading scheme (The final report must be worth at least 50% of final grade): Lab performance 40%; Final report 50%; Oral presentation 10%
Project status: This project is taken; however students may contact the professor to discuss other possible '396' projects this term.
How students can apply: Bring a printed copy of this application form and your advising transcript to me during office hours.
Ethics, safety, and training: Supervisors are responsible for the ethics and safety compliance of undergraduate students. This project involves NEITHER animal subjects, nor human subjects, nor biohazardous substances, nor radioactive materials, nor handling chemicals, nor using lasers.