Back

Computational Studies Of Cargo Transport Through The Nuclear Pore Complex

Gautam, S. K.; Laghaei, R.; Nasrabad, A. E.; Coalson, R. D.

2026-02-24 biophysics
10.64898/2026.02.23.707554 bioRxiv
Show abstract

Nuclear Pore Complexes (NPCs) are large protein complexes in eukaryotic cells that span the double-membrane of the nucleus and regulate bi-directional transport between nucleus and cytoplasm. T h e NPC core is lined by intrinsically disordered protein chains called nucleoporins (Nups) which form a selective barrier where large macromolecules (cargoes) need to bind to nuclear transport receptors (NTRs) such as Karyopherins (Kaps) to cross. Previous experimental results have suggested that not only Nups but Kaps, too, are important in the transport process of other NTRs/NTR-cargo complexes. In this work, we assess the role of Kaps in the transport of other NTRs (specifically, NTF2s) through the NPC, a process referred to as the "Kap-centric transport model". Here, using coarse-grained MD simulation we show that Kaps are able to direct NTF2s into the Nup meshwork, which leads to their increased flow. Our results also suggest that NTRs follow specific lanes inside the pore to maximize efficient transport.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

1
Journal of Chemical Information and Modeling
207 papers in training set
Top 0.5%
12.3%
2
The Journal of Chemical Physics
49 papers in training set
Top 0.1%
10.1%
3
PLOS Computational Biology
1633 papers in training set
Top 5%
7.2%
4
Frontiers in Molecular Biosciences
100 papers in training set
Top 0.1%
6.8%
5
Journal of Chemical Theory and Computation
126 papers in training set
Top 0.2%
6.8%
6
Biophysical Journal
545 papers in training set
Top 0.9%
6.4%
7
The Journal of Physical Chemistry B
158 papers in training set
Top 0.3%
4.9%
50% of probability mass above
8
The Journal of Physical Chemistry Letters
58 papers in training set
Top 0.3%
4.3%
9
Scientific Reports
3102 papers in training set
Top 29%
4.2%
10
Physical Biology
43 papers in training set
Top 0.4%
4.0%
11
Physical Chemistry Chemical Physics
34 papers in training set
Top 0.1%
3.6%
12
PLOS ONE
4510 papers in training set
Top 46%
2.4%
13
iScience
1063 papers in training set
Top 10%
2.1%
14
Biophysics and Physicobiology
10 papers in training set
Top 0.1%
1.2%
15
eLife
5422 papers in training set
Top 51%
0.9%
16
Computational and Structural Biotechnology Journal
216 papers in training set
Top 7%
0.9%
17
Journal of Computational Chemistry
11 papers in training set
Top 0.1%
0.9%
18
International Journal of Molecular Sciences
453 papers in training set
Top 13%
0.9%
19
Nano Letters
63 papers in training set
Top 3%
0.7%
20
ACS Omega
90 papers in training set
Top 4%
0.7%
21
Journal of Molecular Graphics and Modelling
16 papers in training set
Top 0.3%
0.6%