A review of algorithmic techniques for disulfide-bond determination.
Disulfide bonds play an important role in understanding protein folding, evolution, and in studies related to determining structural and functional properties of specific proteins. At the state-of-the-art, a large number of computational techniques have been proposed for determining disulfide bonds. Operating across the gamut of input data, from pure sequence-based information to spectra from mass spectrometry, these techniques provide researchers with a variety of methodological choices and trade-offs. Techniques for disulfide-bond determination are also underpinned by a rich variety of algorithmic formulations. Analysis of these algorithms can provide valuable cues towards choosing a particular technique and understanding its results. Further, their study is critical in developing the next generation of techniques. This paper discusses the importance and applicability of disulfide-bond determination in understanding protein structure and function and provides a detailed review of computational approaches to this problem.
Singh
Rahul
R
Department of Computer Science, San Francisco State University, San Francisco, CA 94132, USA. rsingh@cs.sfsu.edu
D000465:Algorithms; D001669:Biochemical Phenomena; D001671:Biochemistry; D019295:Computational Biology / Q000379:methods*; D004220:Disulfides / Q000032:analysis* / Q000378:metabolism*; D013058:Mass Spectrometry; D011506:Proteins / Q000737:chemistry / Q000378:metabolism
D004220:Disulfides; D011506:Proteins