Back

Predicting assembly/disassembly orders of protein complexes using coarse-grained simulations

Lu, Y.; Liu, X.; Zhang, Z.

2024-04-02 biophysics
10.1101/2024.01.24.576999 bioRxiv
Show abstract

Assembly of a protein complex is very important to its biological function, which can be investigated by determining assembly/disassembly order of its protein subunits. Although static structures of many protein complexes are available in the protein data bank, their assembly/disassembly orders of subunits are largely unknown. In addition to experimental techniques for studying subcomplexes in the assembly/disassembly of a protein complex, computational methods can be used to predict the assembly/disassembly order. Since sampling is a nontrivial issue in simulating the assembly/disassembly process, coarse-grained simulations are more efficient than atomic simulations are. In this work, we developed computational protocols for predicting assembly/disassembly orders of protein complexes using coarse-grained simulations. The protocols were illustrated using two protein complexes, and the predicted assembly/disassembly orders are consistent with available experimental data.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
PLOS Computational Biology
1633 papers in training set
Top 1.0%
19.2%
2
Briefings in Bioinformatics
326 papers in training set
Top 0.2%
12.6%
3
Quantitative Biology
11 papers in training set
Top 0.1%
7.3%
4
PLOS ONE
4510 papers in training set
Top 30%
5.0%
5
Physical Biology
43 papers in training set
Top 0.3%
4.1%
6
Scientific Reports
3102 papers in training set
Top 30%
4.1%
50% of probability mass above
7
Frontiers in Molecular Biosciences
100 papers in training set
Top 0.4%
3.7%
8
Journal of Chemical Information and Modeling
207 papers in training set
Top 1%
2.7%
9
Biophysics and Physicobiology
10 papers in training set
Top 0.1%
1.9%
10
The Journal of Physical Chemistry B
158 papers in training set
Top 1%
1.7%
11
Journal of Chemical Theory and Computation
126 papers in training set
Top 0.5%
1.7%
12
eLife
5422 papers in training set
Top 41%
1.7%
13
Entropy
20 papers in training set
Top 0.1%
1.7%
14
Proteins: Structure, Function, and Bioinformatics
82 papers in training set
Top 0.6%
1.3%
15
Journal of Structural Biology
58 papers in training set
Top 1.0%
1.3%
16
Journal of Molecular Biology
217 papers in training set
Top 2%
1.3%
17
Biophysical Journal
545 papers in training set
Top 4%
0.9%
18
Bioengineering
24 papers in training set
Top 1.0%
0.9%
19
iScience
1063 papers in training set
Top 26%
0.9%
20
Chaos, Solitons & Fractals
32 papers in training set
Top 2%
0.8%
21
BMC Bioinformatics
383 papers in training set
Top 7%
0.8%
22
Physica A: Statistical Mechanics and its Applications
10 papers in training set
Top 0.2%
0.8%
23
Computational Biology and Chemistry
23 papers in training set
Top 0.5%
0.7%
24
Genomics, Proteomics & Bioinformatics
171 papers in training set
Top 7%
0.7%
25
Bioinformatics
1061 papers in training set
Top 10%
0.7%
26
Computational and Structural Biotechnology Journal
216 papers in training set
Top 10%
0.7%
27
Biochemistry and Biophysics Reports
28 papers in training set
Top 2%
0.5%
28
PeerJ
261 papers in training set
Top 19%
0.5%
29
The Journal of Chemical Physics
49 papers in training set
Top 0.6%
0.5%
30
Nature Communications
4913 papers in training set
Top 67%
0.5%