کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
496265 | 862854 | 2008 | 12 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Advances on protein folding simulations based on the lattice HP models with natural computing
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
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چکیده انگلیسی
This paper introduces the hydrophobic-polar (HP) models and several natural computing approaches. The biological background of the protein structure prediction, the Levinthal paradox and HP model are firstly revised. Subsequently the evolutionary algorithm, memetic algorithm, ant colony optimization algorithm, tabu search, self organizing map-based iterative approaches and the typical chain growth computing approaches are reviewed. The advantages/disadvantages of various computing approaches and the current optimal results are introduced. Finally, the promising model and computing approaches are discussed.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Soft Computing - Volume 8, Issue 2, March 2008, Pages 1029–1040
Journal: Applied Soft Computing - Volume 8, Issue 2, March 2008, Pages 1029–1040
نویسندگان
Xinchao Zhao,