2022 AMS-535 Fall
Please see http://ringo.ams.sunysb.edu/~rizzo for Rizzo Group Homepage
|Instructor|| Dr. Robert C. Rizzo [631-632-8519, rizzorc -at- gmail.com]
Brock Boysan [631-632-8519, brock dot boysan -at- stonybrook dot edu]
|Course No.||AMS-535 / CHE-535|
|Location/Time||ESS 069, Monday and Wednesday 2:40PM - 4:00PM|
|Office Hours||Anytime by appointment, Math Tower 3-129|
|Grading|| Grades will be based on the quality of: |
(1) Pre-recorded oral presentations (25%)
(2) Class discussion (30%)
(3) Take home quizzes (45%)
GENERAL INFORMATION: AMS-535 provides an introduction to the field of computational structure-based drug design. The course aims to foster collaborative learning and will consist of presentations by instructors, course participants, and guest lecturers arranged in five major sections outlined below. Presentations should aim to summarize key papers, theory, and application of computational methods relevant to computational drug design. Grade will be based on oral presentations, class discussion/attendance/participation, and quizzes.
- (1) Become informed about the field of computational structure-based drug design and the pros and cons of its methods.
- (2) Dissect seminal theory and application papers relevant to computational drug design.
- (3) Gain practice in giving an in-depth oral powerpoint presentation on computational drug design.
- (4) Read, participate in discussion, and be tested across five key subject areas:
- (i) Drug Discovery and Biomolecular Structure:
Drug Discovery, Chemistry Review, Proteins, Carbohydrates, Nucleic acids
Molecular Interactions and Recognition, Experimental Techniques for Elucidating Structure
- (ii) Molecular Modeling:
Classical Force Fields (Molecular Mechanics),
Solvent Models, Condensed-phase Calculations, Parameter Development
- (iii) Sampling Methods:
Conformational Space, Molecular Dynamics (MD), Metropolis Monte Carlo (MC)
Sampling Techniques, Predicting Protein Structure, Protein Folding
- (iv) Lead Discovery:
Docking as a Lead Generation Tool, Docking Algorithms
Discovery Methods I, Discovery Methods II, Applications
- (v) Lead Refinement:
Free Energy Perturbation (FEP), Linear Response (LR), Extended Linear Response (ELR)
MM-PBSA, MM-GBSA, Properties of Known Drugs, Property Prediction
- (i) Drug Discovery and Biomolecular Structure:
LITERATURE DISCLAIMER: Hyperlinks and manuscripts accessed through Stony Brook University's electronic journal subscriptions are provided below for educational purposes only.
PRESENTATION DISCLAIMER: Presentations may contain slides from a variety of online sources for educational and illustrative purposes only, and use here does not imply that the presenter is claiming that the contents are their own original work or research.
This is a mixed course meaning that there will be both synchronous and asynchronous aspects. Note that course grading criteria has been modified from previous years (see grading breakdown above). Other details for this semester are as follows:
- We will hold class at the regularly scheduled time (M/W 2:40-4:00PM) and class will be held in person. There is no online section.
- The first 5 lectures are to help put everyone on an even footing with regards to background material and will be given by the Instructors at the regularly scheduled class time.
- All class correspondence should be addressed to ALL course Instructors.
- The bulk of the classes will be devoted to Discussion of papers read prior to coming to class (2 per class) for which everyone will also have watched oral presentations prior to coming to class (2 per class). Oral presentations will be in the form of pre-recorded videos made by students taking the class.
- During the Discussion sessions which are held in person the Instructors(s) will ask participants to explain details of the papers they have read which will form the basis of the "Discussion/Participation" part of their grade. Thus, it is important that everyone attend all of the classes. All students are expected to participate especially those whose papers are being discussed that day. As noted above each student will prepare two questions per paper to facilitate discussion. Your questions, and any answers that may have been discussed in class, will be uploaded into Google Forms (details to be given in class) by midnight of the day the papers are covered.
- If a student is unable to attend a specific class for reasons beyond their control they will instead be asked to email the instructor(s) AND submit a one page Paper Summary Sheet answering questions about the papers that were discussed on the day that they missed. The "Paper Summary Sheets" will form the basis of the "Discussion" part of their grade for any synchronous classes that were missed.
- If a students misses a class they will have 24 hours to submit their Paper Summary Sheets. Late Paper Summary Sheets will not be accepted.
- Please note that this is an in-person class and all participants are expected to attend each and every class.
- Students will pre-record 1-2 ZOOM presentations based on papers assigned to them from the schedule shown below.
- Students will email their pre-recorded presentations to ALL course Instructors by Friday at 5PM before the week in which their presentations will be discussed.
- Course participants will watch the student presentations before the class in which they are to be discussed.
- Course participants will score each student presentation using a Presentation Assessment Sheet which will be emailed to ALL Instructors within 24 hours after the class in which the presentation were discussed.
Take home Quizzes:
- At the end of each of the five different sections of the course a take home quiz will be assigned. The "Quiz" portion of the grade will based on the four highest quiz scores attained.
- Although the Quiz format is open book, students are expected to work alone and do their own work. Representing another person's work as your own is always wrong. The Instructors are required to report any suspected instances of academic dishonesty to the Academic Judiciary.
- Students will have 24 hours to complete each Quiz. Late Quizzes will not be accepted.
- Quiz question answers should integrate topics, concepts, and outcomes of the different papers covered for the section being tested.
Recording Your Oral Presentations Using Zoom: It is very straightforward to create a video of yourself giving a PPT presentation using Zoom:
- Download the Zoom app ( https://it.stonybrook.edu/services/zoom )
- Open the Zoom app
- Create a new Zoom meeting with only yourself (make sure audio and video are turned on)
- Share your screen
- Open your paper presentation in PPT and put in presentation mode
- Start recording and give a short test presentation to make sure that everything is working smoothly (use mouse as necessary to highlight specific regions of your slides)
- Stop recording and quit the meeting
- Open the newly created video (using QuickTime or some other video player) to make sure that your test presentation has both audio and video and looks good
- Follow the above steps to create your "full-length" video presentation (videos should not exceed 20-25 minutes)
- Email your video to ALL Instructors who will make it available to the class (please name your Zoom video Lastname_Paper1.mp4 or Lastname_Paper2.mp4 )
Oral Presentation Guidelines: Pre-recorded talks should be formal (as if at a scientific meeting or job talk), presented in PPT format, and be 20-25 minutes long. All talks will be posted on the course website. References should occur at the bottom of each slide when necessary. Presentations should be based mostly on the primary references however secondary references and other sources may be required to make some presentations complete. It is the responsibility of each presenter to email their talk by Friday at 5PM before the week in which their talk is being discussed. Talks will likely be arranged in the following order:
- Introduction/Background (include biological relevance if applicable)
- Specifics of the System or General Problem
- Computational Methods (theory) and Details (system setup) being used
- Results and Discussion (critical interpretation of results and any problems/challenges)
Required Syllabi Statements:
The University Senate Undergraduate and Graduate Councils have authorized that the following required statements appear in all teaching syllabi (graduate and undergraduate courses) on the Stony Brook Campus.. This information is also located on the Provost’s website: https://www.stonybrook.edu/commcms/provost/faculty/handbook/academic_policies/syllabus_statement.php
Student Accessibility Support Center Statement: If you have a physical, psychological, medical, or learning disability that may impact your course work, please contact the Student Accessibility Support Center, 128 ECC Building, (631) 632-6748, or at firstname.lastname@example.org. They will determine with you what accommodations are necessary and appropriate. All information and documentation is confidential. Students who require assistance during emergency evacuation are encouraged to discuss their needs with their professors and the Student Accessibility Support Center. For procedures and information go to the following website: https://ehs.stonybrook.edu/programs/fire-safety/emergency-evacuation/evacuation-guide-people-physical-disabilities and search Fire Safety and Evacuation and Disabilities.
Academic Integrity Statement: Each student must pursue his or her academic goals honestly and be personally accountable for all submitted work. Representing another person's work as your own is always wrong. Faculty is required to report any suspected instances of academic dishonesty to the Academic Judiciary. Faculty in the Health Sciences Center (School of Health Technology & Management, Nursing, Social Welfare, Dental Medicine) and School of Medicine are required to follow their school-specific procedures. For more comprehensive information on academic integrity, including categories of academic dishonesty please refer to the academic judiciary website at http://www.stonybrook.edu/commcms/academic_integrity/index.html
Critical Incident Management: Stony Brook University expects students to respect the rights, privileges, and property of other people. Faculty are required to report to the Office of Student Conduct and Community Standards any disruptive behavior that interrupts their ability to teach, compromises the safety of the learning environment, or inhibits students' ability to learn. Until/unless the latest COVID guidance is explicitly amended by SBU, during Fall 2021"disruptive behavior” will include refusal to wear a mask during classes. For the latest COVID guidance, please refer to: https://www.stonybrook.edu/commcms/strongertogether/latest.php