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

Introduction : Computational Structural Biology
Lecture L01 by Bruce Donald, Duke University
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From CBB 590/CS 590
Introduction to Computational Biology
Recorded Jan. 11, 2022
Textbook for this course:
Algorithms in Structural Molecular Biology, MIT Press
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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.

[@HindIsmaeel]

Thanks alot very detailed and clear explanation 👍

[@LucasPaul-d9q]

Thank you very much

[@DonaldLab]

You are welcome

[@annagardberg9765]

I really enjoyed this lecture look forward to continuing the course playlist.

[@DonaldLab]

Glad you enjoyed it!

[@teddyma3781]

Thx Proffesor!