Biophysics 204B: Methods in Macromolecular Structure

Winter 2022 Syllabus

What is the next experiment?

Course Title: Methods in Macromolecular Structure

Course Format: 6 hours of lecture/group work per week in class, substantial group work outside of class

Location and Date/Hours: Monday, Tuesday, Wednesday - 9AM-11AM in either Genentech Hall 227 or The Zoom where it happens!

Zoom Links

Prerequisites: All incoming first year BP and CCB graduate students are required to enroll in this course.

Grading: Letter grade

Textbook: None. Lab protocols and course materials will be available in class or online

Instructors: John Gross, Aashish Manglik, James Fraser

NMR guru: Alexandra Born (Manglik/Gross labs)

TAs:

Lecturers/Facilitators:

James Fraser, Yifan Cheng, Aashish Manglik, Robert Stroud, John Gross, Alexandra Born, Tom Goddard, Cynthia Wolberger (JHU), Tanja Kortemme, Michael Grabe, James Lincoff

Background:

Fluency in multiple biophysical methods is often critical for answering mechanistic questions. Traditionally, students are exposed to the fundamentals of multiple techniques through lectures that cover the theory prior to exposure, for some, in analysis or data collection during lab rotations. However, this structure means that only students that rotate in specific labs gain hands-on-exposure, which could limit adventurous experiments in future years. To train the next generation of biophysicists at UCSF, we have decided to alter this traditional structure by creating “Macromolecular Methods”, a class that places emphasis on playing with data. Based on our experiences designing the project-based class Physical Underpinnings of Biological Systems, aka PUBS!, which used deep sequencing to assay the function of a comprehensive set of point mutants to introduce principles of high-throughput interrogation of biological functions, we have designed Macromolecular Methods to be a team-based class where students develop their own analysis of real data that, in non-pandemic years, they have collected.

Course Description:

This is a team-based class where students work in small groups develop their own analysis of real data. Statistical aspects of rigor and reproducibility in structural biology will be emphasized throughout lectures, journal club presentations, and hands-on activities. The website for the 2017, 2018, 2019, and 2020 editions are available online.

Ethics: This course is more than a training experience; it is an active research project whose results will be published to the broader scientific community. The community must be able to understand our work, replicate it, and have confidence in its findings. We must therefore ensure the integrity of the information we disseminate. To do so, it is essential that students perform and document their experiments and analyses as faithfully as possible. Mistakes and oversights are normal and to be expected, but they must not be ignored, concealed, or disguised. In addition, to merit authorship, students must contribute to three aspects of the project: intellectual conception or interpretation of the methods or data, technical execution of the experiments and/or analyses, and documentation or dissemination of the results. We fully expect that by actively participating in the course and working toward the course objectives, all students will merit authorship.

Respect: This course is built around an open research project performed in teams. Successful completion of the course objectives will require that students work together effectively, so please respect the time and effort of your classmates and instructors. Moreover, as part of the research process, we will consider and debate a variety of ideas and approaches; however, we must not allow our position on a particular idea or argument to compromise our respect for its author. We therefore expect course participants to give all instructors and students, regardless of academic or personal background, their complete professional respect; anything less will not be tolerated.

Accommodations for students with disabilities: The Graduate Division embraces all students, including students with documented disabilities. UCSF is committed to providing all students equal access to all of its programs, services, and activities. Student Disability Services (SDS) is the campus office that works with students who have disabilities to determine and coordinate reasonable accommodations. Students who have, or think they may have, a disability are invited to contact SDS (StudentDisability@ucsf.edu); or 415-476-6595) for a confidential discussion and to review the process for requesting accommodations in classroom and clinical settings. More information is available online at http://sds.ucsf.edu. Accommodations are never retroactive; therefore students are encouraged to register with Student Disability Services (http://sds.ucsf.edu/) as soon as they begin their programs. UCSF encourages students to engage in support seeking behavior via all of the resources available through Student Life, for consistent support and access to their programs.

Commitment to Diversity, Equity and Inclusion: The course instructors and teaching assistants value the contributions, ideas and perspective of all students. It is our intent that students from diverse backgrounds be well-served by this course, that students’ learning needs be addressed both in and out of class, and that the diversity that the students bring to this class be viewed as a resource, strength and benefit. It is our intent to present materials and activities that are respectful of diversity: gender identity, sexuality, disability, age, socioeconomic status, ethnicity, race, nationality, religion, and culture. However, we also acknowledge that many of the literature examples used in this course were authored in an environment that marginalized many groups. Integrating a diverse set of experiences is important for a more comprehensive understanding of science and we strive towards that goal. Although the instructors are committed to continuous improvement of our practices and our learning environment, we value input from students and your suggestions are encouraged and appreciated. Please let the course director or program leadership know ways to improve the effectiveness of the course for you personally, or for other students or student groups. (modeled after CCB and Brown University’s Diversity & Inclusion Syllabus Statements)

2021 schedule

Jan 3-5 - Class intro

Monday January 3

Tuesday January 4

Wednesday January 5

Jan 10-18 - CryoEM - Lectures Yifan Cheng, Tutorials James Fraser

Monday January 10

Lecture 1 from Yifan Cheng

Tuesday January 11

Lecture 2 from Yifan Cheng

Tutorial 1:

Wednesday January 12

Tutorial 2:

Monday January 17 - no class (Martin Luther King Jr. day)

Tuesday January 18

Lecture 3 from Yifan Cheng

Tutorial 3:

Reading on rigor and reproducibility in EM:

Jan 19-31 - X-ray Crystallography - Lectures Bob Stroud, Tutorials Aashish Manglik

Wednesday January 19

Lecture 1 from Bob Stroud

Tutorial 1 : What’s the deal with the spots

Monday January 24

Lecture 2 from Bob Stroud

Tutorial 2: Molecular Replacement

Tuesday January 25

Lecture 3 from Bob Stroud

Tutorial 3: Model refinement

Wednesday January 26

Monday January 31

Reading on rigor and reproducibility in Crystallography:

Feb 1-9 - NMR - Lectures John Gross, Tutorials Alexandra Born

Tuesday February 1

Lecture 1 from John Gross, Introduction to Multidimensional NMR

Wednesday February 2

Lecture 2 from John Gross, Detecting Ligand and Protein Interactions by NMR

Monday February 7

Lecture 3 from John Gross, Dynamic NMR -Hydrogen Deuterium Exchange (HDX) and intro to ms-usec dynamics

Tuesday February 8

Lecture 4 from John Gross, Methods to quantify slow dynamics, ZZ-exchange and CPMG

Wednesday February 9

Lecture 5 from John Gross, Measuring ns-ps dynamics in proteins

Reading on rigor and reproducibility in NMR:

Feb 14-15 - Computational approaches - Lectures Tanja Kortemme, James Lincoff, Michael Grabe

Monday February 14

Lecture from Tanja Kortemme, AlphaFold and RosettaFold

Lecture from Tom Goddard?

Tuesday February 15

Lecture from James Lincoff and Michael Grabe, Molecular Dynamics simulations

Final presentations - Feb 16

Presenting as a team, in 15 minutes (we will stop you at 15 minutes sharp!) tell us about the scientist your team is named after, what you did, what you learned, and what is one more experiment you’d like to do! Followed by 5 minutes of questions.

Email your slides to Aashish Manglik by 8:30AM that morning!

Supplemental material and tutorial videos