Protein Language Model Identifies Disordered, Conserved Motifs Driving Phase Separation
Zhang, Y.; Zheng, J.; Zhang, B.
Show abstract
Intrinsically disordered regions (IDRs) play a critical role in phase separation and are essential for the formation of membraneless organelles (MLOs). Mutations within IDRs can disrupt their multivalent interaction networks, altering phase behavior and contributing to various diseases. Therefore, examining the evolutionary constraints of IDRs provides valuable insights into the relationship between protein sequences and phase separation. In this study, we utilized the ESM2 protein language model to map the residue-level mutational tolerance landscapes landscape of IDRs. Our findings reveal that IDRs, particularly those actively participating in phase separation, contain conserved amino acids. This conservation is evident through mutational constraints predicted by ESM2 and supported by direct analyses of multiple sequence alignments. These conserved, disordered amino acids include residues traditionally identified as "stickers" as well as "spacers" and frequently form continuous sequence motifs. The strong conservation, combined with their potential role in phase separation, suggests that these motifs may act as functional units under evolutionary selection to support stable MLO formation. Our findings underscore the insights into phase separations molecular grammar made possible through evolutionary analysis enabled by protein language models.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Decoding Missense Variants by Incorporating Phase Separation via Machine Learning 96%
- Universal protein misfolding intermediates can bypass the proteostasis network and remain soluble and less-functional 96%
- Generalizable and scalable protein stability prediction with rewired protein generative models 95%
Similar papers in this journal
- The amino acid sequence determines protein abundance through its conformational stability and reduced synthesis cost. 96%
- Polyglutamine expansion induced dynamic misfolding of Androgen Receptor 96%
- COLLAPSE: A representation learning framework for identification and characterization of protein structural sites 95%
Similar papers in this journal
- Identifying Sequence Perturbations to an Intrinsically Disordered Protein that Determine Its Phase Separation Behavior 96%
- SHARK enables homology assessment in unalignable anddisordered sequences 96%
- Folding-upon-binding pathways of an intrinsically disordered protein from a deep Markov state model 95%
Similar papers in this journal
- Pathogenic BRCA1 mutations disrupt allosteric control by BARD1 96%
- Structural preferences shape the entropic force of disordered protein ensembles 96%
- Coevolutionary Analysis and Perturbation-Based Network Modeling of the SARS-CoV-2 Spike Protein Complexes with Antibodies: Binding-Induced Control of Dynamics, Allosteric Interactions and Signaling 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.