کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
425339 685723 2007 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A parallel hybrid genetic algorithm for protein structure prediction on the computational grid
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نظریه محاسباتی و ریاضیات
پیش نمایش صفحه اول مقاله
A parallel hybrid genetic algorithm for protein structure prediction on the computational grid
چکیده انگلیسی

Solving the structure prediction problem for complex proteins is difficult and computationally expensive. In this paper, we propose a bicriterion parallel hybrid genetic algorithm (GA) in order to efficiently deal with the problem using the computational grid. The use of a near-optimal metaheuristic, such as a GA, allows a significant reduction in the number of explored potential structures. However, the complexity of the problem remains prohibitive as far as large proteins are concerned, making the use of parallel computing on the computational grid essential for its efficient resolution. A conjugated gradient-based Hill Climbing local search is combined with the GA in order to intensify the search in the neighborhood of its provided configurations. In this paper we consider two molecular complexes: the tryptophan-cage   protein (Brookhaven Protein Data Bank ID 1L2Y) and αα-cyclodextrin. The experimentation results obtained on a computational grid show the effectiveness of the approach.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Future Generation Computer Systems - Volume 23, Issue 3, March 2007, Pages 398–409
نویسندگان
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