Persistent homology for protein folding analysis
محل انتشار: اولین همایش ملی ریاضیات زیستی
سال انتشار: 1397
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 626
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شناسه ملی سند علمی:
BIMM01_034
تاریخ نمایه سازی: 8 تیر 1398
چکیده مقاله:
Persistent homology is a concept in topological data analysis used to reduce the dimensionality and complexity of the data sets, and also to determine topological features and delete noises. In this talk, unfolding process is simulated with the constant velocity pulling algorithm of SMD. Then, we apply the persistent homology to reveal the topological features of intermediate con gurations. Furthermore, we construct a quantitative model based on the accumulation bar length A1 to predict the energy and stability of protein con gurations, which establishes a solid topology-function relationship of proteins with the constant velocity pulling algorithm of SMD.
کلیدواژه ها:
نویسندگان
Hanieh Mirebrahimi
Department of pure mathematics, Ferdowsi university of Mashhad, Mashhad, Iran
Ameneh Babaee
Department of pure mathematics, Ferdowsi university of Mashhad, Mashhad, Iran
Azam Babaee
Department of biophysics, Tarbiat Modares university of Tehran, Tehran, Iran