Defining Protein Electrostatic Recognition Processes

Abstract

The objective of this proposal is to elucidate the nature of electrostatic forces controlling protein recognition processes by using a tightly coupled computational and interactive computer graphics approach. We developed the TURNIP program to determine the most favorable precollision orientations for two molecules by systematic search of all orientations and evaluation of the resulting electrostatic interactions. TURNIP was applied to the transient interaction between two electron transfer metalloproteins, plastocyanin and cytochrome c. Our results suggest that the productive electron- transfer complex involves interaction of the positive region of cytochrome c with the negative patch of plastocyanin, consistent with experimental data. Application of TURNIP to the formation of the stable complex between the HyHEL-5 antibody and its protein antigen lysozyme showed that long-distance electrostatic forces guide lysozyme toward the HyHEL-5 binding site, but do not fine tune its orientation. Determination of docked antigen/antibody complexes requires including steric as well as electrostatic interactions, as we have done for the U10 mutant of the anti-phosphorylcholine antibody S107. We have enhanced the graphics program Flex, a convenient desktop workstation program for visualizing molecular dynamics and normal mode motions. Flex now has a user interface and has been rewritten to use standard graphics libraries, so as to run on most desktop workstations. Electrostatic recognition, Computer graphics, Protein binding, Electron transfer, Computational search.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1992
Accession Number
ADA264225

Entities

People

  • Elizabeth D. Getzoff
  • Victoria A. Roberts

Tags

Communities of Interest

  • C4I
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force
  • Antibodies
  • Biological Sciences
  • Chemistry
  • Computer Graphics
  • Computers
  • Electron Transfer
  • Experimental Data
  • Graphics
  • Military Research
  • Molecular Biology
  • Molecular Dynamics
  • Molecules
  • Orientation (Direction)
  • Proteins
  • Recognition
  • User Interface

Readers

  • Computer Vision.
  • Molecular and Cellular Biochemistry
  • Quantum Chemistry

Technology Areas

  • Microelectronics
  • Microelectronics - Microelectromechanical Systems