scholarly journals Dynamic folding pathway models of the villin headpiece subdomain (HP-36) structure

2010 ◽  
Vol 31 (1) ◽  
pp. 57-65 ◽  
Author(s):  
In-Ho Lee ◽  
Seung-Yeon Kim ◽  
Jooyoung Lee
2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
In-Ho Lee ◽  
Seung-Yeon Kim

Using action-derived molecular dynamics (ADMD), we study the dynamic folding pathway models of the Trp-cage protein by providing its sequential conformational changes from its initial disordered structure to the final native structure at atomic details. We find that the numbers of native contacts and native hydrogen bonds are highly correlated, implying that the native structure of Trp-cage is achieved through the concurrent formations of native contacts and native hydrogen bonds. In early stage, an unfolded state appears with partially formed native contacts (~40%) and native hydrogen bonds (~30%). Afterward, the folding is initiated by the contact of the side chain of Tyr3 with that of Trp6, together with the formation of the N-terminalα-helix. Then, the C-terminal polyproline structure docks onto the Trp6 and Tyr3 rings, resulting in the formations of the hydrophobic core of Trp-cage and its near-native state. Finally, the slow adjustment processes of the near-native states into the native structure are dominant in later stage. The ADMD results are in agreement with those of the experimental folding studies on Trp-cage and consistent with most of other computational studies.


2005 ◽  
Vol 412 (4-6) ◽  
pp. 307-312 ◽  
Author(s):  
In-Ho Lee ◽  
Seung-Yeon Kim ◽  
Jooyoung Lee

2019 ◽  
Vol 21 (33) ◽  
pp. 18219-18226 ◽  
Author(s):  
Ercheng Wang ◽  
Peng Tao ◽  
Jun Wang ◽  
Yi Xiao

Six folding states and three folding pathways are identified for HP35 with U and F being unfolded and folded states and I1, I2, I3 and I4 being intermediate states.


2008 ◽  
Vol 47 (02) ◽  
pp. 104-148
Author(s):  
M. Breit ◽  
B. Pfeifer ◽  
C. Baumgartner ◽  
R. Modre-Osprian ◽  
B. Tilg ◽  
...  

Summary Objectives: Presently, the protein interaction information concerning different signaling pathways is available in a qualitative manner in different online protein interaction databases. The challenge here is to derive a quantitative way of modeling signaling pathways from qualitative way of modeling signaling pathways from a qualitative level. To address this issue we developed a database that includes mathematical modeling knowledge and biological knowledge about different signaling pathways. Methods: The database is part of an integrative environment that includes environments for pathway design, visualization, simulation and a knowledge base that combines biological and modeling information concerning pathways. The system is designed as a client-server architecture. It contains a pathway designing environment and a simulation environment as upper layers with a relational knowledge base as the underlying layer. Results: DMSP – Database for Modeling Signaling Pathways incorporates biological datasets from online databases like BIND, DIP, PIP, and SPiD. The modeling knowledge that has been incorporated is based on a literature study. Pathway models can be designed, visualized and simulated based on the knowledge stored in the DMSP. The user can download the whole dataset and build pathway models using the knowledge stored in our database. As an example, the TNF? pathway model was implemented and tested using this approach. Conclusion: DMSP is an initial step towards the aim of combining modeling and biological knowledge concerning signaling pathways. It helps in understanding pathways in a qualitative manner from a qualitative level. Simulation results enable the interpretation of a biological system from a quantitative and systemtheoretic point of view.


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