18.417 Introduction to Computational Molecular Biology


Class Info

Introduces the basic computational methods used to model and predict the structure of biomolecules (proteins, DNA, RNA). Covers classical techniques in the field (molecular dynamics, Monte Carlo, dynamic programming) to more recent advances in analyzing and predicting RNA and protein structure, ranging from Hidden Markov Models and 3-D lattice models to attribute Grammars and tree Grammars.

This class has 6.006, and 6.01 as prerequisites.

18.417 will be offered this semester (Fall 2018). It is instructed by .

This class counts for a total of 12 credits. This is a graduate-level class.

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