Lecture GK-1
Introduction; transformations and superpostion
Aims
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To place structural bioinformatics in a wider context.
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To describe and explain the use of homogeneous transformation
matrices.
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To describe in outline how to superpose sets of points.
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To introduce C code for working with three-dimensional transformations.
Objectives
After this lecture you will:
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be aware that knowing the three-dimensional structures of
macromolecules can give new insights into biological function,
enabling scientists to formulate new hypotheses and design new experiments;
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understand the form and use of homogeneous transformation matrices;
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understand, in outline, how structure superposition is performed;
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understand how to implement programs for fitting and transforming
structural fragments.
Supplementary Material
Some of the lecture slides are available on-line
(PDF).
Notes on transformations are also available on-line
(local access).
The source code introduced in this lecture is available on-line.
/chalmers/users/kemp/TDA506/practical1/question2
/chalmers/users/kemp/TDA506/src
/chalmers/users/kemp/TDA506/include
Kearsley's method for finding the rotation matrix that minimses the average
distance between sets of atoms is described in:
Kearsley, S.K. (1989)
"On the orthogonal transformation used for structural comparisons",
Acta Cryst., A45, 208-210.
(PDF)