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Immunoglobulin functional motions and their effects on the complementarity determining regions

Published: 02 August 2010 Publication History

Abstract

Motions of the IgG structure are evaluated using normal mode analysis and a new time dependent form of the elastic network model, to detect hinges, the dominance of low frequency modes, and the most important internal motions. We also evaluate the protein crystal and its packing effects on the experimental temperature factors and disorder prediction. We find that the effects of the protein environment on the crystallographic temperature factors may be misleading for evaluating specific functional motions of IgG. The extent of motion of the antigen binding domains is computed to show their large spatial sampling. We conclude that the IgG structure is specifically designed to facilitate large excursions of the antigen binding domains. Normal modes are shown as capable of computationally evaluating the hinge motions and the spatial sampling of domains of the structure. The antigen binding loops and the major hinge appear to behave similarly to the rest of the structure when we consider the dominance of the low frequency modes and the extent of internal motion.

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cover image ACM Conferences
BCB '10: Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology
August 2010
705 pages
ISBN:9781450304382
DOI:10.1145/1854776
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 02 August 2010

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Author Tags

  1. IgG
  2. elastic network model
  3. hinge prediction
  4. immunoglobin
  5. internal distance
  6. normal mode
  7. protein crystal

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