Building alternate protein structures using the elastic network model

2009 ◽  
Vol 74 (3) ◽  
pp. 682-700 ◽  
Author(s):  
Qingyi Yang ◽  
Kim A. Sharp
2017 ◽  
Vol 2017 ◽  
pp. 1-15 ◽  
Author(s):  
Guang Hu ◽  
Luisa Di Paola ◽  
Zhongjie Liang ◽  
Alessandro Giuliani

The overall topology and interfacial interactions play key roles in understanding structural and functional principles of protein complexes. Elastic Network Model (ENM) and Protein Contact Network (PCN) are two widely used methods for high throughput investigation of structures and interactions within protein complexes. In this work, the comparative analysis of ENM and PCN relative to hemoglobin (Hb) was taken as case study. We examine four types of structural and dynamical paradigms, namely, conformational change between different states of Hbs, modular analysis, allosteric mechanisms studies, and interface characterization of an Hb. The comparative study shows that ENM has an advantage in studying dynamical properties and protein-protein interfaces, while PCN is better for describing protein structures quantitatively both from local and from global levels. We suggest that the integration of ENM and PCN would give a potential but powerful tool in structural systems biology.


2016 ◽  
Vol 145 (1) ◽  
pp. 014104 ◽  
Author(s):  
Chunhua Li ◽  
Dashuai Lv ◽  
Lei Zhang ◽  
Feng Yang ◽  
Cunxin Wang ◽  
...  

2018 ◽  
Vol 20 (25) ◽  
pp. 17020-17028 ◽  
Author(s):  
Adolfo B. Poma ◽  
Mai Suan Li ◽  
Panagiotis E. Theodorakis

The generalized elastic network (GEN) model enables the study of large conformational changes in proteins.


2019 ◽  
Vol 21 (8) ◽  
pp. 4359-4366 ◽  
Author(s):  
D. Vijay Anand ◽  
Zhenyu Meng ◽  
Kelin Xia

The CMVP-ENM for virus normal mode analysis. With a special ratio parameter, CMVP-ENM can characterize the multi-material properties of biomolecular complexes and systematically enhance or suppress the modes for different components.


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