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Structural genomics efforts contribute new protein structures that often lack significant sequence and fold similarity to known proteins. Traditional sequence and structure-based methods may not be sufficient to annotate the molecular functions of these structures. Techniques that combine structural and functional modeling can be valuable for functional(More)
Structural genomics efforts have led to increasing numbers of novel, uncharacterized protein structures with low sequence identity to known proteins, resulting in a growing need for structure-based function recognition tools. Our method, SeqFEATURE, robustly models protein functions described by sequence motifs using a structural representation. We built a(More)
The leaves of the Coriandrum sativum plant, known as cilantro or coriander, are widely used in many cuisines around the world. However, far from being a benign culinary herb, cilantro can be polarizing—many people love it while others claim that it tastes or smells foul, often like soap or dirt. This soapy or pungent aroma is largely attributed to several(More)
BACKGROUND The emergence of structural genomics presents significant challenges in the annotation of biologically uncharacterized proteins. Unfortunately, our ability to analyze these proteins is restricted by the limited catalog of known molecular functions and their associated 3D motifs. RESULTS In order to identify novel 3D motifs that may be(More)
Open Science is gathering pace both as a grass roots effort amongst scientists to enable them to share the outputs of their research more effectively, and as a policy initiative for research funders to gain a greater return on their investment. In this workshop, we will discuss the current state of the art in collaborative research tools, the social(More)
The International Conference on Intelligent Systems for Molecular Biology (ISMB) has become an important communication hub for bioinformaticians, and the core element of the Conference— presentations of peer-reviewed papers—is now only one of many activities. Presentation of timely journal publications (the Highlights sessions), Special Sessions organized(More)
  • Hsueh-I Lu, Ph D Dissertation, +27 authors Sean
  • 1996
iii Preface Linear programming has been fruitful in designing approximation algorithms for many combinatorial optimization problems. Nonlinear programming did not receive as much attention in this respect until the recent work by Goe-mans and Williamson 62]. They use semideenite programs, which are nonlinear programs, to obtain approximation solutions with(More)
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