Back

Unraveling the Impact of W215A/E217A Mutations on Thrombin Dynamics and Thrombomodulin Binding through Molecular Dynamics Simulations

Wu, D.; Salsbury, F.

2023-12-21 biophysics
10.1101/2023.12.20.572552 bioRxiv
Show abstract

Thrombin, a central serine protease in hemostasis, exhibits dual functionality in coagulation processes--favoring fibrinogen cleavage in its native form while shifting towards protein C activation when complexed with thrombomodulin (TM). Thrombin also plays roles in cancer-associated thrombosis and may be involved in metastasis and tumorigenesis. The W215A/E217A (WE) double mutant of thrombin presents a unique case, with its fibrinogen cleavage activity diminished by 19,000-fold, contrasting a modest 7-fold reduction in protein C activation in the presence of TM. The differential substrate specificity of this mutant raises fundamental questions about the underlying molecular mechanisms. In this study, we employed all-atom microsecond-scale molecular dynamics (MD) simulations, complemented by Root Mean Square Fluctuation (RMSF) analysis, clustering algorithms, PCA-based free-energy surfaces, and logistic regression modeling, to dissect the structural and allosteric changes driving thrombins substrate specificity. Our results unveil distinct conformational states within the catalytic triad, each optimized for specific substrate interactions. We demonstrate that the WE mutations synergize with TM456 binding, resulting in altered hydrogen bond networks and distinct free energy landscapes. A key finding of our research is the identification of ARG125 as a pivotal element in these interactions, consistently forming critical hydrogen bonds across different thrombin variants. The persistent role of ARG125 not only elucidates aspects of thrombins functional plasticity but also positions it as a promising target for novel therapies. This comprehensive analysis enhances our understanding of thrombins structural dynamics, paving the way for more effective and targeted therapeutics.

Matching journals

The top 8 journals account for 50% of the predicted probability mass.

1
Biomolecules
100 papers in training set
Top 0.1%
11.8%
2
Biophysical Journal
631 papers in training set
Top 1%
7.8%
3
Journal of Chemical Information and Modeling
238 papers in training set
Top 0.7%
7.2%
4
Journal of Molecular Biology
232 papers in training set
Top 0.2%
6.6%
5
Computational and Structural Biotechnology Journal
242 papers in training set
Top 0.6%
5.4%
6
PLOS Computational Biology
1863 papers in training set
Top 7%
5.4%
7
International Journal of Molecular Sciences
494 papers in training set
Top 1%
5.4%
8
PLOS ONE
5266 papers in training set
Top 31%
4.8%
50% of probability mass above
9
International Journal of Biological Macromolecules
76 papers in training set
Top 0.4%
3.5%
10
Journal of Molecular Graphics and Modelling
17 papers in training set
Top 0.1%
3.5%
11
Frontiers in Molecular Biosciences
102 papers in training set
Top 0.4%
2.4%
12
Journal of Biomolecular Structure and Dynamics
43 papers in training set
Top 0.7%
1.7%
13
Scientific Reports
3612 papers in training set
Top 55%
1.7%
14
Proteins: Structure, Function, and Bioinformatics
88 papers in training set
Top 0.7%
1.7%
15
The Journal of Physical Chemistry B
167 papers in training set
Top 1%
1.5%
16
Viruses
332 papers in training set
Top 3%
1.5%
17
Chemical Science
73 papers in training set
Top 1%
1.5%
18
Molecules
39 papers in training set
Top 0.8%
1.5%
19
Communications Biology
993 papers in training set
Top 19%
1.3%
20
Biochemical and Biophysical Research Communications
84 papers in training set
Top 2%
1.1%
21
Journal of Chemical Theory and Computation
140 papers in training set
Top 0.9%
1.1%
22
Protein Science
246 papers in training set
Top 3%
1.1%
23
Physical Chemistry Chemical Physics
36 papers in training set
Top 0.5%
1.1%
24
eLife
5828 papers in training set
Top 60%
1.1%
25
The Journal of Physical Chemistry Letters
63 papers in training set
Top 0.8%
0.8%
26
Molecular Pharmaceutics
16 papers in training set
Top 0.4%
0.8%
27
Journal of Biological Chemistry
690 papers in training set
Top 9%
0.8%
28
Biochimica et Biophysica Acta (BBA) - General Subjects
18 papers in training set
Top 0.5%
0.6%
29
Toxins
14 papers in training set
Top 0.2%
0.6%
30
Biochimie
25 papers in training set
Top 1.0%
0.6%