Computational Biology Seminar
Lecture 01
(BIOSC 1630)
Aug 28, 2024
1. Understand course structure and expectations.
2. Outline the requirements and goals of the perspective primers.
3. Compare and contrast different types of scientific articles.
4. Explain the key components of the research ecosystem.
5. Apply effective strategies to find relevant literature.
Instructor
Alex Maldonado, PhD
he/him/his
B.S.E in Chemical Engineering, 2018
Western Michigan University
Ph.D. in Chemical Engineering, 2023
University of Pittsburgh
Postdoctoral Associate in Computational Biology
Acceptable ways to address me:
Alex (preferred)
Dr. Maldonado
Dr. Alex
Dr. M
Office hours: By appointment
Email: alex.maldonado@pitt.edu
Every male in my (maternal) family played football
—I rebelled
Part-time jobs
Website: pitt-biosc1630-2024f.oasci.org/
Things that contain student information will be only on Canvas to be FERPA compliant
Assignments will be submitted on Gradescope
We will be routinely reading primary research articles within computational biology
New methods come out all of the time, which ones should you use?
Will enhance your knowledge of the field
I have picked several papers across computational biology published in 2023
A pre-class assignment will ensure you are prepared for discussion-based activities
"I'm not going to graduate school, so why am I taking a whole class reading literature?"
Reading literature is a great activity to practice critical thinking and skepticism
Peer reviewed does not mean infallible
BIOSC 1640 is where you problem solve
Every job description likely contains "Excellent communication skills"
We will help you hone your communication skills with writing a perspective paper
Writing-intensive courses require 11 to 13 single-spaced pages of writing
This is an atypical two-credit course
Paper is chunked into smaller assignments due periodically throughout the semester
Research statements for these applications are more rigorous than this perspective
1. Understand course structure and expectations.
2. Outline the requirements and goals of the perspective primers.
3. Compare and contrast different types of scientific articles.
4. Explain the key components of the research ecosystem.
5. Apply effective strategies to find relevant literature.
AlphaFold has undoubtedly revolutionized protein structure prediction
AF3 can predict any (ordered) biomolecule with post-translational modifications
AlphaFold is a complicated machine learning model that is trained to reproduce experimental structures
It achieves transferability by learning to find coevolutionary signals of residue-residue proximity
Ab initio methods use physical representations and calculations to compute structures
Expensive but interpretable
Drug discovery aims to identify drug candidates from a large search space
Protein-ligand docking can rapidly identify binding poses based on parameterized scoring functions and/or machine learning
Molecular simulations account for solvent, protein, and ligand dynamics
Significantly enhanced conformational sampling and free energies (e.g., entropy)
With experimental assays becoming more economical, why spend the time running simulations?
Alchemical simulations systematically turn off the ligand's interaction with proteins
Experimental techniques probe drug action before investing in clinical trials
Example: Terray Therapeutics
1. Understand course structure and expectations.
2. Outline the requirements and goals of the perspective primers.
3. Compare and contrast different types of scientific articles.
4. Explain the key components of the research ecosystem.
5. Apply effective strategies to find relevant literature.
Primary literature: Original research by scientists in the field
Review: Summarizes the current state of knowledge in a specific area
Perspective: Presents author's viewpoint on a specific topic or issue
1. Understand course structure and expectations.
2. Outline the requirements and goals of the perspective primers.
3. Compare and contrast different types of scientific articles.
4. Explain the key components of the research ecosystem.
5. Apply effective strategies to find relevant literature.
Doctorate-granting universities
R1: Very high research activity
R2: High research activity
Basically how much money a university spends on research
Application process
Selection criteria
Impact factor tries to communicate how "groundbreaking" publications in that journal are
H-index is a quick, imperfect way to quantify research quality of a professor
Grant databases
Just because it is peer-reviewed does not mean it is perfect
Things you should be considerate of
1. Understand course structure and expectations.
2. Outline the requirements and goals of the perspective primers.
3. Compare and contrast different types of scientific articles.
4. Explain the key components of the research ecosystem.
5. Apply effective strategies to find relevant literature.
Lecture 02:
Reading literature
Lecture 01:
Course overview
Today
Next Wednesday