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计算准确的原子间接触面,用于定量分析非键分子相互作用。

Calculation of accurate interatomic contact surface areas for the quantitative analysis of non-bonded molecular interactions.

机构信息

Department of Molecular Genetics and Microbiology, School of Biological Sciences, Pontificia Universidad Católica de Chile, Santiago, Chile.

出版信息

Bioinformatics. 2019 Sep 15;35(18):3499-3501. doi: 10.1093/bioinformatics/btz062.

Abstract

SUMMARY

Intra- and intermolecular contact surfaces are routinely calculated for a large array of applications in bioinformatics but are typically approximated from differential solvent accessible surface area calculations and not calculated directly. These approximations do not properly take the effects of neighboring atoms into account and tend to deviate considerably from the true contact surface. We implemented an extension of the original Shrake-Rupley algorithm to accurately estimate interatomic contact surface areas of molecular structures and complexes. Our extended algorithm is able to calculate the contact area of an atom to all nearby atoms by directly calculating overlapping surface patches, taking into account the possible shielding effects of neighboring atoms. Here, we present a versatile software tool and web server for the calculation of contact surface areas, as well as buried surface areas and solvent accessible surface areas (SASA) for different types of biomolecules, such as proteins, nucleic acids and small organic molecules. Detailed results are provided in tab-separated values format for analysis and Protein Databank files for visualization. Direct contact surface area calculation resulted in improved accuracy in a benchmark with a non-redundant set of 245 protein-DNA complexes. SASA-based approximations underestimated protein-DNA contact surfaces on average by 40%. This software tool may be useful for surface-based intra- and intermolecular interaction analyses and scoring function development.

AVAILABILITY AND IMPLEMENTATION

A web server, stand-alone binaries for Linux, MacOS and Windows and C++ source code are freely available from http://schuellerlab.org/dr_sasa/.

SUPPLEMENTARY INFORMATION

Supplementary data are available at Bioinformatics online.

摘要

摘要

在生物信息学的众多应用中,通常会计算分子内和分子间的接触表面,但这些接触表面通常是根据差分溶剂可及表面积计算进行近似,而不是直接计算得到的。这些近似不能正确考虑相邻原子的影响,并且往往与真实的接触表面有很大的偏差。我们对原始的 Shrake-Rupley 算法进行了扩展,以准确估计分子结构和复合物的原子间接触表面积。我们的扩展算法能够通过直接计算重叠的表面斑块,考虑到相邻原子的可能屏蔽效应,计算一个原子与所有附近原子的接触面积。在这里,我们提出了一种通用的软件工具和网络服务器,用于计算不同类型生物分子(如蛋白质、核酸和小分子)的接触表面积、埋藏表面积和溶剂可及表面积(SASA)。详细的结果以制表符分隔值的格式提供,用于分析和可视化的 Protein Databank 文件。与非冗余的 245 个蛋白质-DNA 复合物数据集进行基准测试,直接接触表面积计算的结果提高了准确性。基于 SASA 的近似值平均低估了蛋白质-DNA 接触表面 40%。这个软件工具可能对基于表面的分子内和分子间相互作用分析和评分函数开发有用。

可用性和实现

一个网络服务器、适用于 Linux、MacOS 和 Windows 的独立二进制文件以及 C++源代码可从 http://schuellerlab.org/dr_sasa/ 免费获得。

补充信息

补充数据可在《生物信息学》在线获得。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc5e/6748739/31c6cf67addd/btz062f1.jpg

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