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Inverse Kinematics for Molecular World

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Determine whether ligand and receptor can associate. ... Inverse Kinematics can be used to solve this problem. ... [2] Parsons, D. and Canny, J. 1994. ... – PowerPoint PPT presentation

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Title: Inverse Kinematics for Molecular World


1
Inverse Kinematics for Molecular World
  • Sadia Malik
  • April 18, 2002
  • CS 395T
  • U.T. Austin

2
Protein Docking
3
Goals
  • Determine whether ligand and receptor can
    associate.
  • Predict the geometric structure of the combined
    complex.

4
Solution Requirements
  • Solve geometric problem of computing reasonable
    relative configurations.
  • Inverse Kinematics can be used to solve this
    problem.
  • Solve chemical problem of evaluating the free
    energies of tentative molecules.

5
Constraints
  • Rotational
  • Torsional degrees of freedom and the allowed
    values.
  • Distance
  • Relative position between feature atoms.

6
Does Inverse Kinematics Apply?
  • For a given desired position of the end
    effector, what set of angle values for the joints
    will achieve this goal?

7
Robots and Bio-Molecules?
  • Both have three-dimensional geometry.
  • Structure of both depends on the geometry.
  • Most of the chemical and biological function of
    molecules can be explained as a function of their
    geometric conformations.
  • Synthesis of robots and robotic algorithms is
    tightly bound with geometric analysis.

8
Molecules as Robots?
  • Molecules can be modeled as tiny robots.
  • Treat molecule as rigid body
  • Each atom acts as a point, or, in some cases, can
    group atoms such that none of the bonds among the
    atoms rotate.
  • Replace each link of the robot by a section of
    molecular chain with fixed dihedral angles and
    each joint with variable dihedral angle.

9
Inverse Kinematics
  • Can use Inverse Kinematics
  • For robotics, dihedral angles used to solve IK
    problems..
  • For molecules, torsional Angles used to solve IK
    problems.
  • Position of any point can be represented as
    polynomial or trigonometric equation.

10
Tree Structure
11
Information Per Atom
  • Each atom has
  • Van der Waals radius
  • Bond length
  • Bond angle
  • Set of possible torsion angles
  • In most studies, only variations in torsion
    angles are considered.

12
Denavit Hartenburg
13
Hypothetical Molecule
14
Post Kinematics Calculations
  • Kinematics Error Function
  • Expresses how closely the feature atoms
    constraints are satisfied.
  • Minimum Energy Function
  • Measures the likelihood that the computed
    conformation can exist in nature.
  • Inverse Kinematics can generate several false
    positive geometries.

15
Other Molecular Problems
  • Protein Folding
  • Predict native protein structure using amino-acid
    sequence knowledge only.
  • Requires molecular dynamics algorithms
  • Ring Closure
  • Conformation of cyclic molecules in which the
    cyclic covalent structure of the molecule is
    maintained.
  • Can use inverse kinematics to solve this.

16
Our Molecular World
  • Algorithms used to compute geometric
    configurations can be used for molecular world
    project.
  • Information given in a PDB file can be used to
    solve inverse kinematics problems for molecules.

17
Plans for Animation
  • Work with the Human Body group to implement
    software that will solve molecular configuration
    for our project.
  • Similar co-ordinate system.
  • Both projects can use Inverse Kinematics to
    compute animation frames.

18
Conclusion
  • Molecular structure, though much smaller in size,
    can be approximated to robotic structure.
  • Inverse Kinematics is a very useful mechanism to
    compute geometrical structures.

19
References
  • 1 Zhang, M. and Kavraki, L. Finding Solutions
    of the Inverse Kinematics Problems in
    Computer-aided Drug Design,
  • http//cs-tr.cs.rice.edu/Dienst/UI/2.0/Describe/n
    cstrl.rice_cs/TR02-385
  • 2 Parsons, D. and Canny, J. 1994. Geometric
    Problems in Molecular Biology and Robotics,
    http//citeseer.nj.nec.com/parsons94geometric.html
  • 3 Lavalle, S.,Finn, P., Kavraki, L., Latombe,
    J. 2000. A Randomized Kinematics-Based Approach
    to Pharmacophore-Constrained Conformational
    Search and Database Screening,
    http//robotics.stanford.edu/latombe/papers/jcc/p
    aper.pdf
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