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Browse materialsMIT 20.482J · Spring 2006

Foundations of Algorithms and Computational Techniques in Systems Biology

Subject: Biology

Art: PSM V09 D115 Pasteur apparatus for germ studies, 1876 · Public domain

Instructors: Prof. Bruce Tidor, Prof. Jacob White
Term: Spring 2006
Level: Graduate
What's inside: 1 lecture note · 61 other files · 2 web pages
Materials open: MIT OCW

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Source: MIT OpenCourseWare 20.482J Foundations of Algorithms and Computational Techniques in Systems Biology, Spring 2006, Prof. Bruce Tidor, Prof. Jacob White — original course page on ocw.mit.edu ↗. License: CC BY-NC-SA 4.0. Study order: MIT's own listing order, section by section. Taken from MIT's published course files, downloaded from ocw.mit.edu on September 23, 2026. How RedLectern is built.

Materials are grouped the way MIT organized them. A verified, course-wide order has not been established here.

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Prerequisites are not listed here. Check MIT's own syllabus for this course.

This course’s cited books, in our reading lists: Numerical Linear Algebra

How this course was organized

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A lecture sequence of 26 items is confirmed. Assignment and exam materials exist too, but MIT's own order for them could not be verified, so they're shown as materials below rather than a sequence.

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Materials by section

Grouped by section, as MIT organized them. Not sequenced or ordered.

Lecture Notes

27 files

Assignments

32 problem sets

Other materials from this course

MIT OpenCourseWare, Prof. Bruce Tidor, Prof. Jacob White, 20.482J Foundations of Algorithms and Computational Techniques in Systems Biology, Spring 2006.

License: CC BY-NC-SA 4.0 · Edition: Spring 2006 · Open the original course on OCW ↗

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Foundations of Algorithms and Computational Techniques in Systems Biology

Before you start

What's here, and what isn't

Not included here

Materials by section

Lecture Notes

Assignments

Other materials from this course

Lecture 1: Introduction and Protein Modeling Questions ( PDF )

Lecture 2: Models of Proteins ( PDF )

Lecture 3: Discrete Conformational Search ( PDF )

Lecture 4: Binding and Docking ( PDF )

Lecture 5: Molecular Dynamics Simulation ( PDF )

Lecture 6: Molecular Dynamics and Electrostatics ( PDF )

Lecture 7: Continuum Electrostatic Modeling I ( PDF )

Lecture 8: Continuum Electrostatic Modeling II ( PDF )

Lecture 9: Electrostatic Optimization and Design ( PDF )

Lecture 10: Electrostatics Modeling ( PDF 1 ) ( PDF 2 )

Lecture 11: Statistical Mechanics ( PDF )

Lecture 12: Statistical Mechanics (cont.) ( PDF )

Lecture 13: Formulating and Simulating Network Models in Biology ( PDF )

Lecture 14: Formulating Models ( PDF )

Lecture 15: Nonlinear Dynamics and Stability ( PDF )

Lecture 16: Steady-State Problems ( PDF )

Lecture 17: Parameter Fitting and Estimation ( PDF )

Lecture 18: Parameter Estimation; Robustness, Fragility, Control ( PDF )

Lecture 19: 2-D and 3-D Light Microscopy; Image Reconstruction ( PDF )

Lecture 20: Deconvolution ( PDF )

Lecture 21: Deconvolution II ( PDF )

Lecture 22: Blind Deconvolution ( PDF )

Lecture 23: Optical Flow ( PDF )

Lecture 24: High-Throughput Data and its Analysis ( PDF )

Lecture 25: Inference and Statistics ( PDF )

Lecture 26: Roundup