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Minimally Complex Problem Set for an Ab initio Protein Structure Prediction Study  

Kim RyangGug (Interdisciplinary Program for Biochemical Engineering and Biotechnology, College of Engineering, Seoul National University)
Choi Cha-Yong (Interdisciplinary Program for Biochemical Engineering and Biotechnology, College of Engineering, Seoul National University, School of Chemical Engineering, College of Engineering, Seoul National University)
Publication Information
Biotechnology and Bioprocess Engineering:BBE / v.9, no.5, 2004 , pp. 414-418 More about this Journal
Abstract
A 'minimally complex problem set' for ab initio protein Structure prediction has been proposed. As well as consisting of non-redundant and crystallographically determined high-resolution protein structures, without disulphide bonds, modified residues, unusual connectivities and heteromolecules, it is more importantly a collection of protein structures. with a high probability of being the same in the crystal form as in solution. To our knowledge, this is the first attempt at this kind of dataset. Considering the lattice constraint in crystals, and the possible flexibility in solution of crystallographically determined protein structures, our dataset is thought to be the safest starting points for an ab initio protein structure prediction study.
Keywords
ab initio protein Structure prediction; crystal-packing effect; protein data bank; data-set;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
Times Cited By Web Of Science : 1  (Related Records In Web of Science)
Times Cited By SCOPUS : 1
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