Genetics
Most Recent
BioRxiv
Artificial intelligence reveals nuclear pore complexity
Nucleic acids research
RNAPhaSep: a resource of RNAs undergoing phase separation
bioRxiv
The chromatin regulator HMGA1a undergoes phase separation in the nucleus
Dec
01
Cell Bio Virtual 2021
Wednesday, December 1, 2021
Nature Reviews Drug Discovery
What does AlphaFold mean for drug discovery?
Jill Bouchard
Managing editor, Condensates.com
Here's a Nature News article about the implications of AlphaFold and RoseTTAFold on drug discovery efforts.
Nature reviews Methods primers
Subcellular proteomics
iScience
Activation of gene expression by detergent-like protein domains
Biophysical journal
metapredict: a fast, accurate, and easy-to-use predictor of consensus disorder and structure
Database
SGnn
Frontiers in molecular biosciences
SGnn: A Web Server for the Prediction of Prion-Like Domains Recruitment to Stress Granules Upon Heat Stress
bioRxiv
Molecular Organization of the Early Stages of Nucleosome Phase Separation Visualized by Cryo-Electron Tomography
Journal of molecular biology
AlphaFold and implications for intrinsically disordered proteins
Journal of molecular biology
On the potential of machine learning to examine the relationship between sequence, structure, dynamics and function of intrinsically disordered proteins
Jill Bouchard
Managing editor, Condensates.com
The authors made sure to include how machine learning might help study larger interactions involving IDPs, including condensates. Check out what they have to say.
Nature communications
flDPnn: Accurate intrinsic disorder prediction with putative propensities of disorder functions
Jill Bouchard
Managing editor, Condensates.com
Have you tried this disorder (and function) predictor yet? Could be useful!
Nature
Highly accurate protein structure prediction with AlphaFold
Jill Bouchard
Managing editor, Condensates.com
This is one of two big papers that came out on the same day and could reshape how we study proteins involved in condensates. See also the Science paper about RoseTTAFold.
Science
Accurate prediction of protein structures and interactions using a three-track neural network
Jill Bouchard
Managing editor, Condensates.com
This is one of two big papers that came out on the same day and could reshape how we study proteins involved in condensates. See also the Nature paper about AlphaFold.
BioRxiv
metapredict: a fast, accurate, and easy-to-use cross-platform predictor of consensus disorder
Jill Bouchard
Managing editor, Condensates.com
Wanna try a new deep-learning disorder predictor that's been trained on consensus scores? Give this one a shot...
2021 UCSF Postdoctoral Fellow
University of California, San Francisco | San Francisco, CA, USA
ApplyBriefings in bioinformatics