Influence of Genomic and Other Biological Data Sets in the Understanding of Protein Structures, Functions and Interactions

N. Srinivasan, G. Agarwal, R. Bhaskara, R. Gadkari, O. Krishnadev, B. Lakshmi, Swapnil Mahajan, S. Mohanty, R. Mudgal, R. Rakshambikai, S. Sandhya, Govindarajan Sudha, L. S. Swapna, Nidhi Tyagi
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引用次数: 3

Abstract

In the post-genomic era, biological databases are growing at a tremendous rate. Despite rapid accumulation of biological information, functions and other biological properties of many putative gene products of various organisms remain either unknown or obscure. This paper examines how strategic integration of large biological databases and combinations of various biological information helps address some of the fundamental questions on protein structure, function and interactions. New developments in function recognition by remote homology detection and strategic use of sequence databases aid recognition of functions of newly discovered proteins. Knowledge of 3-D structures and combined use of sequences and 3-D structures of homologous protein domains expands the ability of remote homology detection enormously. The authors also demonstrate how combined consideration of functions of individual domains of multi-domain proteins helps in recognizing gross biological attributes. This paper also discusses a few cases of combining disparate biological datasets or combination of disparate biological information in obtaining new insights about protein-protein interactions across a host and a pathogen. Finally, the authors discuss how combinations of low resolution structural data, obtained using cryoEM studies, of gigantic multi-component assemblies, and atomic level 3-D structures of the components is effective in inferring finer features in the assembly.
基因组和其他生物学数据集在理解蛋白质结构、功能和相互作用中的影响
在后基因组时代,生物数据库正以惊人的速度增长。尽管生物信息迅速积累,但各种生物的许多假定的基因产物的功能和其他生物学特性仍然是未知的或模糊的。本文探讨了大型生物数据库的战略性整合和各种生物信息的组合如何帮助解决一些关于蛋白质结构、功能和相互作用的基本问题。通过远程同源检测和序列数据库的战略性使用,功能识别的新进展有助于新发现的蛋白质的功能识别。三维结构的知识和同源蛋白结构域的序列和三维结构的结合使用极大地扩展了远程同源检测的能力。作者还展示了如何结合考虑多结构域蛋白质的各个结构域的功能有助于识别总体生物学特性。本文还讨论了结合不同生物数据集或不同生物信息组合的几个案例,以获得关于宿主和病原体之间蛋白质-蛋白质相互作用的新见解。最后,作者讨论了使用低温电镜研究获得的大型多组分组件的低分辨率结构数据与组件的原子级三维结构的组合如何有效地推断组件中的更精细特征。
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