Introduction : Computational Structural Biology Lecture L01 by Bruce Donald, Duke University

Introduction : Computational Structural Biology Lecture L01 by Bruce Donald, Duke University https://users.cs.duke.edu/brd/ From CBB 590/CS 590 Introduction to Computational Biology Recorded Jan. 11, 2022 Textbook for this course: Algorithms in Structural Molecular Biology, MIT Press https://users.cs.duke.edu/~brd/books/asmb11/amazon.html ISBN: 0262015595. Some of the most challenging and influential opportunities for Physical Geometric Algorithms (PGA) arise in developing and applying information technology to understand the molecular machinery of the cell. Recent work shows that PGA techniques may be fruitfully applied to the challenges of structural molecular biology and rational drug design. Concomitantly, a wealth of interesting computational problems arise in proposed methods for discovering new pharmaceuticals. This seminar course focuses on topics in computational biology. We will emphasize themes that unite algorithms, modelling, and experimental results. Topics will include algorithms, modeling, and experimental validation for several areas, including protein design, protein:protein interactions, structural biology, structural immunology, and structure-based drug design.