Here's the introduction to Science's special issue on the nuclear pore complex. Make sure to check out all the incredible papers in the issue with our Science Special Issue tag.

Science

AI-based structure prediction empowers integrative structural analysis of human nuclear pores

Frontiers in synaptic neuroscience

Correlative Assembly of Subsynaptic Nanoscale Organizations During Development

Array

Must Read

VIDEO: Emma Lundberg on Mapping the Spatiotemporal Proteome Architecture of Human Cells

Frontiers in molecular biosciences

AlphaFold 2 and NMR Spectroscopy: Partners to Understand Protein Structure, Dynamics and Function

Jun

01

Emma Lundberg on Mapping the Spatiotemporal Proteome Architecture of Human Cells

Wednesday, June 1, 2022

Methods in molecular biology (Clifton, NJ)

Prediction of the Effect of pH on the Aggregation and Conditional Folding of Intrinsically Disordered Proteins with SolupHred and DispHred

Jul

07

36th Annual Symposium of the Protein Society

Thursday, July 7, 2022 | San Francisco, United States

Array

PSPredictor

Oct

21

The 3rd International Conference on Education and Artificial Intelligence Technologies (EAIT 2022)

Friday, October 21, 2022 | Birmingham, United Kingdom

Artificial Intelligence

Viscosity Measurement in Biocondensates Using Deep-Learning-Assisted Single-Particle Rotational Analysis

UCSF Genentech Postdoctoral Fellow

Genome-wide quantification of RNA flow across subcellular compartments reveals determinants of the mammalian transcript life cycle

An Interpretable Machine-Learning Algorithm to Predict Disordered Protein Phase Separation Based on Biophysical Interactions

IDPfun All Hands Meeting 2022: Machine Learning and Protein Structural Disorder

DiscoverBMB

Molecular organization of the early stages of nucleosome phase separation visualized by cryo-electron tomography

Stochastic particle unbinding modulates growth dynamics and size of transcription factor condensates in living cells

Conference on Artificial Intelligence Technology (CAIT 2022)

An interpretable machine learning algorithm to predict disordered protein phase separation based on biophysical interactions

Building the nuclear pore complex

Jill Bouchard