ReviewNucleus (Austin, Tex.)2024
Deciphering the intrinsically disordered characteristics of the FG-Nups through the lens of polymer physics.
Review in Nucleus (Austin, Tex.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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Who cites it
4 citing papers in PubMed.
- Intrinsically disordered regions facilitate Mlp1-Nab2 recognition in mRNA quality control.Nucleus (Austin, Tex.) · 2026Article
- Elucidating the nanoscopic organization and dynamics of the nuclear pore complex.Nucleus (Austin, Tex.) · 2025Article
- Role of pore dilation in molecular transport through the nuclear pore complex: Insights from polymer scaling theory.PLoS computational biology · 2025Article
- Regulating transport efficiency through the nuclear pore complex: The role of binding affinity with FG-Nups.Molecular biology of the cell · 2024Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The nuclear pore complex (NPC) is a critical gateway regulating molecular transport between the nucleus and cytoplasm. It allows small molecules to pass freely, while larger molecules require nuclear transport receptors to traverse the barrier. This selective permeability is maintained by phenylalanine-glycine-rich nucleoporins (FG-Nups), intrinsically disordered proteins that fill the NPC's central channel. The disordered and flexible nature of FG-Nups complicates their spatial characterization with conventional structural biology techniques. To address this challenge, polymer physics offers a valuable framework for describing FG-Nup behavior, reducing their complex structures to a few key parameters. In this review, we explore how polymer physics models FG-Nups using these parameters and discuss experimental efforts to quantify them in various contexts, providing insights into the conformational properties of FG-Nups.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.