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A PCA-guided Search Algorithm to Probe the Conformational Space of the Ras Protein

Published: 22 September 2013 Publication History

Abstract

We present an algorithm to probe the conformational space of Ras, a critical enzyme that employs conformational switching for its biological activity. The algorithm is guided by experimental data on crystallographic structures of wildtype and mutant Ras. A principal component analysis (PCA) over these structures provides search directions, which are used in combination with energetic refinement to sample low-energy conformations of Ras. Our results show that experimental structures are reproduced, and the space is further populated with novel structures, warranting further investigation into structural characterization of Ras.

References

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B. J. Grant, A. G. Alemayehu, and J. A. McCammon. Ras conformational switching: Simulating nucleotide-dependent conformational transitions with accelerated molecular dynamics. PLoS Comp Biol, 5(3):e1000325, 2009.
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D. Gront, S. Kmiecik, and A. Kolinski. Backbone building from quadrilaterals: a fast and accurate algorithm for protein backbone reconstruction from alpha carbon coordinates. J. Comput. Chem., 28(29):1593--1597, 2007.
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S. Kirillova, J. Cortes, A. Stefaniu, and T. Simeon. An nma-guided path planning approach for computing large-amplitude conformational changes in proteins. Proteins: Struct. Funct. Bioinf., 70(1):131--143, 2008.
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K. Molloy and A. Shehu. A robotics-inspired method to sample conformational paths connecting known functionally-relevant structures in protein systems. In Comput Struct Biol Workshop (CSBW), pages 56--63, Philadelphia, PA, October 2012. IEEE.
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B. Olson, and A. Shehu. Populating local minima in the protein conformational space. In IEEE Intl Conf on Bioinf and Biomed, pages 114--117, 2011.
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B. Olson, I. Hashmi, K. Molloy, and A. Shehu. Basin hopping as a general and versatile optimization framework for the characterization of biological macromolecules. Advances in AI J, 2012(674832), 2012.
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B. Olson, K. Molloy, and A. Shehu. Enhancing sampling of the conformational space near the protein native state. In BIONETICS: Intl. Conf. on Bio-inspired Models of Network, Information, and Computing Systems, Boston, MA, December 2010.
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B. Olson, K. Molloy, and A. Shehu. In search of the protein native state with a probabilistic sampling approach. J. Bioinf. and Comp. Biol., 9(3):383--398, 2011.
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A. Shehu. Probabilistic search and optimization for protein energy landscapes. In S. Aluru and A. Singh, editors, Handbook of Computational Molecular Biology. Chapman & Hall/CRC Computer & Information Science Series, 2013.

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  1. A PCA-guided Search Algorithm to Probe the Conformational Space of the Ras Protein

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      cover image ACM Conferences
      BCB'13: Proceedings of the International Conference on Bioinformatics, Computational Biology and Biomedical Informatics
      September 2013
      987 pages
      ISBN:9781450324342
      DOI:10.1145/2506583
      Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      New York, NY, United States

      Publication History

      Published: 22 September 2013

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      Author Tags

      1. PCA
      2. Ras
      3. mulsticaling
      4. search
      5. structure space

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      BCB'13
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      BCB'13: ACM-BCB2013
      September 22 - 25, 2013
      Wshington DC, USA

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      BCB'13 Paper Acceptance Rate 43 of 148 submissions, 29%;
      Overall Acceptance Rate 254 of 885 submissions, 29%

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