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  • Introduction
  • Open Access

The 3rd Computational Structural Bioinformatics Workshop

BMC Structural Biology201010 (Suppl 1) :I1

  • Published:


As many other domains in biology, molecular structures have proposed challenging but interesting computational problems. The unique challenge of the 3-dimensional molecular structures comes from the combination of the fundamental concepts of physics, chemistry, biology and geometry, and it is often computationally intensive to search for the correct structure. The Computational Structural Bioinformatics Workshop (CSBW) is a workshop that focuses on the fundamental computational work that is related to 3-dimensional molecular structures. This workshop aims to bring together researchers with expertise in bioinformatics, computational biology, structural biology, data mining, optimization and high performance computing to discuss recent results, new techniques, and open research problems in computational structural bioinformatics.

The first workshop was held on November 4, 2007 in San Jose California, in conjunction with the International Conference on Bioinformatics and Biomedicine (BIBM). The papers in this issue were selected from the third workshop that was held on November 1, 2009 at Washington D.C. We received thirty-three paper submissions in 2009. Eight were selected for an extended version for the publication on BMC Structural Biology. Although the number of the submissions is limited, the papers often come from the research groups that have the established records in structural bioinformatics. The next CSBW is going to be at Norfolk Virginia. We will continue our effort and hold the next workshop even better.



We would like to thank all the members in the workshop steering committee and the program committee for their continuing support.

This article has been published as part of BMC Structural Biology Volume 10 Supplement 1, 2010: Selected articles from the Computational Structural Bioinformatics Workshop 2009. The full contents of the supplement are available online at

Authors’ Affiliations

Department of Computer Science, Old Dominion University, Norfolk, VA 23529, USA
Department of Mathematics and Computer Science, Bioinformatics and Information Sciences Center, Western Kentucky University, Bowling Green, KY 42103, USA


© He and Wu; licensee BioMed Central Ltd. 2010

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.