Kuntal Bhusan Kumar, Aparoy Polamarasetty, Reddanna Pallu
School of Life Sciences, University of Hyderabad, Hyderabad 500 046, India.
Protein Pept Lett. 2010 Jun;17(6):765-73. doi: 10.2174/092986610791190246.
In this study, we have developed a standalone tool called as ANAMBS (Analysis of Metal Binding Site) to derive metal neighbourhood information using PERL as the programming language. The tool accepts the structures in the pdb format. The cut off distance to define the metal binding region can be specified. The metal binding site composition, orientation of various amino acids and atoms along with the Hydropathy index within the metal binding site region can be measured. Its speed and efficiency makes it a beneficial tool for various structural biology projects, especially when the characterization of the metal binding domain is needed. Additionally, the database MEDB (Metal Environment Database) was developed which presents quantitative information on metal-binding sites in protein structures. It can be used for identification of trends or patterns in the metal-binding sites. The information obtained can be used to generate structural templates from metal binding sites of known enzymes and to develop constraints for computational modeling of metalloproteins. The tool and database are available at http://www.uohyd.ernet.in/anambs/
在本研究中,我们开发了一个名为ANAMBS(金属结合位点分析)的独立工具,使用PERL作为编程语言来推导金属邻域信息。该工具接受pdb格式的结构。可以指定用于定义金属结合区域的截止距离。可以测量金属结合位点的组成、各种氨基酸和原子的取向以及金属结合位点区域内的亲水性指数。其速度和效率使其成为各种结构生物学项目的有益工具,特别是在需要表征金属结合域时。此外,还开发了数据库MEDB(金属环境数据库),该数据库提供了蛋白质结构中金属结合位点的定量信息。它可用于识别金属结合位点的趋势或模式。获得的信息可用于从已知酶的金属结合位点生成结构模板,并为金属蛋白的计算建模制定约束条件。该工具和数据库可在http://www.uohyd.ernet.in/anambs/获取。