基于结构的蛋白质功能位点计算预测方法
Structure-based Methods for Computational Protein Functional Site Prediction.
作者信息
Dukka B Kc
机构信息
Department of Computational Science and Engineering, North Carolina A&T State University, Greensboro, NC, 27411, USA.
出版信息
Comput Struct Biotechnol J. 2013 Nov 11;8:e201308005. doi: 10.5936/csbj.201308005. eCollection 2013.
Abstract
Due to the advent of high throughput sequencing techniques and structural genomic projects, the number of gene and protein sequences has been ever increasing. Computational methods to annotate these genes and proteins are even more indispensable. Proteins are important macromolecules and study of the function of proteins is an important problem in structural bioinformatics. This paper discusses a number of methods to predict protein functional site especially focusing on protein ligand binding site prediction. Initially, a short overview is presented on recent advances in methods for selection of homologous sequences. Furthermore, a few recent structural based approaches and sequence-and-structure based approaches for protein functional sites are discussed in details.
摘要
由于高通量测序技术和结构基因组计划的出现，基因和蛋白质序列的数量一直在不断增加。注释这些基因和蛋白质的计算方法变得更加不可或缺。蛋白质是重要的大分子，蛋白质功能的研究是结构生物信息学中的一个重要问题。本文讨论了多种预测蛋白质功能位点的方法，尤其侧重于蛋白质配体结合位点的预测。首先，简要概述了同源序列选择方法的最新进展。此外，还详细讨论了一些基于结构的方法以及基于序列和结构的蛋白质功能位点预测方法。
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