期刊名称：Studia Universitatis Babes-Bolyai : Series Informatica
印刷版ISSN：1224-869X
出版年度：2017
卷号：LXII
期号：1
页码：107-120
出版社：Babes-Bolyai University, Cluj-Napoca
摘要：Proteins are large, complex molecules with crucial roles in the functioning of living organisms. Understanding the underlying mechanisms by which proteins achieve their structures and substructures, as well as those involved in the conformational transitions may contribute to a deeper comprehension of the involved biological processes. This paper investigates a new machine learning perspective upon analyzing protein conformational transitions and introduces a new formalization for the problem, with the more general goal of uncovering interesting patterns in protein conformational transitions. This study represents the starting point of a research which is being conducted in order to obtain a better comprehension of proteins’ structures and, implicitly, functions, by investigating computational intelligence methods for analyzing and deducing proteins conformational transitions.
