Coarse-Grained Model of Collagen Molecules Using an Extended MARTINI Force Field

被引:81
|
作者
Gautieri, Alfonso [1 ,2 ]
Russo, Antonio [2 ]
Vesentini, Simone [2 ]
Redaelli, Alberto [2 ]
Buehler, Markus J. [1 ,3 ]
机构
[1] MIT, Dept Civil & Environm Engn, Lab Atomist & Mol Mech, Cambridge, MA 02139 USA
[2] Politecn Milan, Dept Bioengn, Biomech Grp, I-20133 Milan, Italy
[3] MIT, Ctr Computat Engn, Cambridge, MA USA
基金
美国国家科学基金会;
关键词
DYNAMICS SIMULATIONS; MECHANICAL-PROPERTIES; SEQUENCE DEPENDENCE; ELASTIC PROPERTIES; LIGHT-SCATTERING; YOUNGS MODULUS; FLEXIBILITY; MEMBRANE; PEPTIDES; PROTEINS;
D O I
10.1021/ct100015v
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
Collagen is the most abundant protein in the human body, providing mechanical stability, elasticity, and strength to connective tissues such as tendons, ligaments, and bone. Here, we report an extension of the MARTINI coarse-grained force field, originally developed for lipids, proteins, and carbohydrates, used to describe the structural and mechanical properties of collagen molecules. We identify MARTINI force field parameters to describe hydroxyproline amino acid residues and for the triple helical conformational structure found in collagen. We validate the extended MARTINI model through direct molecular dynamics simulations of Young's modulus of a short 8-nm-long collagen-like molecule, resulting in a value of approximately 4 GPa, in good agreement with earlier full atomistic simulations in explicit solvent as well as experimental results. We also apply the extended MARTINI model to simulate a 300-nm-long human type I collagen molecule with the actual amino acid sequence and calculate its persistence length from molecular dynamics trajectories. We obtain a value of 51.5 +/- 6.7 nm for the persistence length, which is within the range of earlier experimental results. Our work extends the applicability of molecular models of collagenous tissues by providing a modeling tool to study collagen molecules and fibrils at much larger scales than accessible to existing full atomistic models, while incorporating key chemical and mechanical features and thereby presenting a powerful approach to computational materiomics.
引用
收藏
页码:1210 / 1218
页数:9
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