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Memprot.GPCR-ModSim:膜蛋白的建模与模拟简述。

Memprot.GPCR-ModSim: modelling and simulation of membrane proteins in a nutshell.

机构信息

Department of Cell and Molecular Biology, Uppsala University, BMC - Box 596, Uppsala, SE 751 24, Sweden.

Division of Medicinal Chemistry, Leiden Academic Centre for Drug Research, Leiden University, Leiden 2333 CC, The Netherlands.

出版信息

Bioinformatics. 2024 Nov 1;40(11). doi: 10.1093/bioinformatics/btae662.

Abstract

SUMMARY

Memprot.GPCR-ModSim leverages our previous web-based protocol, which was limited to class-A G protein-coupled receptors, to become the first one-stop web server for the modelling and simulation of any membrane protein system. Motivated by the exponential growth of experimental structures and the breakthrough of deep-learning-based structural modelling, the server accepts as input either a membrane-protein sequence, in which case it reports the associated AlphaFold model, or a 3D (experimental, modelled) structure, including quaternary complexes with associated proteins and/or ligands of any kind. In both cases, the molecular dynamics (MD) protocol produces a membrane-embedded, solvated, and equilibrated system, ready to be used as a starting point for further MD simulations, including ligand-binding free energy calculations.

AVAILABILITY AND IMPLEMENTATION

Memprot.GPCR-ModSim web server is publicly available at https://memprot.gpcr-modsim.org/. The standalone modules for 3D modelling (PyModSim) or membrane embedding and MD equilibration (PyMemDyn) are available under CC BY-NC 4.0 license terms at the GitHub repository https://github.com/GPCR-ModSim/.

摘要

摘要

Memprot.GPCR-ModSim 利用我们之前的基于网络的协议,该协议仅限于 A 类 G 蛋白偶联受体,成为第一个用于任何膜蛋白系统建模和模拟的一站式网络服务器。受实验结构的指数级增长和基于深度学习的结构建模的突破的推动,该服务器接受输入为膜蛋白序列,在这种情况下,它会报告相关的 AlphaFold 模型,或者是 3D(实验、建模)结构,包括与任何类型的相关蛋白质和/或配体的四级复合物。在这两种情况下,分子动力学(MD)协议都会产生一个嵌入式、溶剂化和平衡的系统,可作为进一步 MD 模拟的起点,包括配体结合自由能计算。

可用性和实现

Memprot.GPCR-ModSim 网络服务器可在 https://memprot.gpcr-modsim.org/ 上公开访问。用于 3D 建模(PyModSim)或膜嵌入和 MD 平衡(PyMemDyn)的独立模块可根据 CC BY-NC 4.0 许可证条款在 GitHub 存储库 https://github.com/GPCR-ModSim/ 上获得。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f432/11578594/d84b7d90c791/btae662f1.jpg

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