Suppr超能文献

2015年的各向异性网络模型网络服务器(ANM 2.0)。

The anisotropic network model web server at 2015 (ANM 2.0).

作者信息

Eyal Eran, Lum Gengkon, Bahar Ivet

机构信息

Cancer Research Institute, Sheba Medical Center, 2 Sheba Rd, Ramat Gan 52621, Israel and Department of Computational and System Biology, University of Pittsburgh, 3501 Fifth Ave, Pittsburgh, PA 15213, USA.

出版信息

Bioinformatics. 2015 May 1;31(9):1487-9. doi: 10.1093/bioinformatics/btu847. Epub 2015 Jan 6.

Abstract

SUMMARY

The anisotropic network model (ANM) is one of the simplest yet powerful tools for exploring protein dynamics. Its main utility is to predict and visualize the collective motions of large complexes and assemblies near their equilibrium structures. The ANM server, introduced by us in 2006 helped making this tool more accessible to non-sophisticated users. We now provide a new version (ANM 2.0), which allows inclusion of nucleic acids and ligands in the network model and thus enables the investigation of the collective motions of protein-DNA/RNA and -ligand systems. The new version offers the flexibility of defining the system nodes and the interaction types and cutoffs. It also includes extensive improvements in hardware, software and graphical interfaces.

AVAILABILITY AND IMPLEMENTATION

ANM 2.0 is available at http://anm.csb.pitt.edu

CONTACT

eran.eyal@sheba.health.gov.il, eyal.eran@gmail.com.

摘要

摘要

各向异性网络模型(ANM)是探索蛋白质动力学最简单却最强大的工具之一。其主要用途是预测和可视化大型复合物及组件在其平衡结构附近的集体运动。我们于2006年推出的ANM服务器,有助于让非专业用户更易使用该工具。我们现在提供了一个新版本(ANM 2.0),它允许在网络模型中纳入核酸和配体,从而能够研究蛋白质 - DNA/RNA和 - 配体系统的集体运动。新版本提供了定义系统节点、相互作用类型和截止值的灵活性。它还在硬件、软件和图形界面方面有了广泛改进。

可用性与实现方式

ANM 2.0可在http://anm.csb.pitt.edu获取。

联系方式

eran.eyal@sheba.health.gov.ileyal.eran@gmail.com

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94f8/4410662/502a8118e3cd/btu847f1p.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验