计算机科学
蛋白质结构预测
领域(数学)
软件
数据挖掘
机器学习
蛋白质结构
数据科学
人工智能
数学
生物
生物化学
程序设计语言
纯数学
作者
Vrushali Bongirwar,Anil Mokhade
标识
DOI:10.1016/j.pbiomolbio.2022.05.002
摘要
Because of the increase in different types of diseases in human habitats, demands for designing various types of drugs are also increasing. Protein and its structure play a very important role in drug design. Therefore researchers from different areas like mathematics, medicines, and computer science are teaming up for getting better solutions in the said field. In this paper, we have discussed different methods of secondary and tertiary protein structure prediction (PSP), along with the limitations of different approaches. Different types of datasets used in PSP are also discussed here. This paper also tells about different performance measures to evaluate the prediction accuracy of PSP methods. Different software's/servers are available for download, which are used to find the protein structures for the input protein sequence. These softwares will also help to compare the performance of any new algorithm with other available methods. Details of those softwares are also mentioned in this paper.
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