Skip to main content
  • Oral presentation
  • Open access
  • Published:

Coarse-grained molecular models for high-throughput and multi-scale functional investigations

In this contribution we discuss the development, implementation, and the subsequent application of in silico, coarse-grained molecular models. The proposed approach allows for bridging a methodological gap between sequence-based bioinformatics and molecular dynamics simulations: molecular interactions can be modeled based on physio-chemical model in a highly parallelizable and high-throughput-ready fashion.

We demonstrate the broad applicability of such an approach by discussing the assembly of the bacterial ribosome [1] and potential points of interference by antibiotica, HIV protease [2] and its evolutionary dynamics en route to drug resistance [3]. These methodologies were further applied to a signaling cascade in leukemia [4, 5] and can be used for design by e.g. global optimization techniques [6]. In addition we show recent results on further computational improvements and additional observations from a physicist's/chemist's point of view.


  1. Hamacher K, Trylska J, McCammon JA: Dependency Map of Proteins in the Small Ribosomal Subunit. PLoS Comput Biol. 2006, 2: e10-10.1371/journal.pcbi.0020010.

    Article  Google Scholar 

  2. Hamacher K, McCammon JA: Computing the Amino Acid Specificity of Fluctuations in Biomolecular Systems. J Chem Theo Comp. 2006, 2: 873-10.1021/ct050247s.

    Article  CAS  Google Scholar 

  3. Hamacher K: Gene. 2007, submitted

    Google Scholar 

  4. Hamacher K, Hübsch A, McCammon JA: A minimal model for stabilization of biomolecules by hydrocarbon cross-linking. J Chem Phys. 2006, 124: 164907-164914. 10.1063/1.2185645.

    Article  CAS  Google Scholar 

  5. Hamacher K: Information Theoretical Measures to Analyze Trajectories in Rational Molecular Design. J Comp Chem. 2007, 28: 2576-2580. 10.1002/jcc.20759.

    Article  CAS  Google Scholar 

  6. Hamacher K: Adaptation in Stochastic Tunneling Global Optimization of Complex Potential Energy Landscapes. Europhys Lett. 2006, 74: 944-950. 10.1209/epl/i2006-10058-0.

    Article  Google Scholar 

  7. Hamacher K: Energy landscape paving as a perfect optimization approach under detrended fluctuation analysis. Physica A. 2007, 378: 307-314. 10.1016/j.physa.2006.11.071.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations


Corresponding author

Correspondence to Kay Hamacher.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Reprints and permissions

About this article

Cite this article

Hamacher, K. Coarse-grained molecular models for high-throughput and multi-scale functional investigations. Chemistry Central Journal 2 (Suppl 1), S14 (2008).

Download citation

  • Published:

  • DOI: