ArticleNature methods2024
Direct prediction of intrinsically disordered protein conformational properties from sequence.
Article in Nature methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 140 papers.
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Who cites it
140 citing papers in PubMed.
- Biomolecular coacervation-mediated materials: Phase states, phase transitions, and biomedical applications.Bioactive materials · 2027Review
- A practical guide to investigating biomolecular condensates: a comment from the plant community.Science China. Life sciences · 2026Review
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- Beyond the structure-function paradigm: A comprehensive review of intrinsically disordered proteins.Biochemistry and biophysics reports · 2026Review
- Chain collapse, reduced dielectric, and water release drive protein phase separation.Biophysical journal · 2026Article
- Core nucleosomes are refractory to lentiviral DNA integration.Nature communications · 2026Article
- ViralMap: predicting features in viral proteins from primary sequence.Journal of virology · 2026Article
- Neurofilament Light Disordered Tail Mutations Reshape Its Self-Assembled Network Structure.Journal of the American Chemical Society · 2026Article
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- Structural Features of a Tiny Viral Protein, ORF7b of SARS-CoV-2.International journal of molecular sciences · 2026Article
- Poly(O-Propargyl-N-Amino Carbamate), a Reactive Polymer to Underpin Biomedical Applications of Poly(acetylene)s.Macromolecular rapid communications · 2026Article
- Sequence-encoded differences in the conformational ensembles of CITED transcriptional activation domains impact coactivator binding.Protein science : a publication of the Protein Society · 2026Article
- MOFF2: A Transferable Coarse-Grained Protein Force Field for Predictive Condensate Simulations.bioRxiv : the preprint server for biology · 2026Article
- Distinguishing near- versus off-critical phase behaviors of intrinsically disordered proteins.Reports on progress in physics. Physical Society (Great Britain) · 2026Article
- Physics-guided design of intrinsically disordered proteins.bioRxiv : the preprint server for biology · 2026Article
- Mapping interactions between disordered regions reveals promiscuity in biomolecular condensate formation.Nature communications · 2026Article
- Short autoinhibitory sequences control phase separation of an essential bacterial transcription termination factor.The EMBO journal · 2026Article
- The Polymers of Life: Exploring Cellular Function Through Polymer Concepts.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- In Search of Shape in the Unshaped: Constructing Ensembles of Intrinsically Disordered Proteins.Biophysics reviews · 2026Article
80 more citing papers are in PubMed but not listed here.
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Authors and funding
5 authors.
Funding
Abstract
Intrinsically disordered regions (IDRs) are ubiquitous across all domains of life and play a range of functional roles. While folded domains are generally well described by a stable three-dimensional structure, IDRs exist in a collection of interconverting states known as an ensemble. This structural heterogeneity means that IDRs are largely absent from the Protein Data Bank, contributing to a lack of computational approaches to predict ensemble conformational properties from sequence. Here we combine rational sequence design, large-scale molecular simulations and deep learning to develop ALBATROSS, a deep-learning model for predicting ensemble dimensions of IDRs, including the radius of gyration, end-to-end distance, polymer-scaling exponent and ensemble asphericity, directly from sequences at a proteome-wide scale. ALBATROSS is lightweight, easy to use and accessible as both a locally installable software package and a point-and-click-style interface via Google Colab notebooks. We first demonstrate the applicability of our predictors by examining the generalizability of sequence-ensemble relationships in IDRs. Then, we leverage the high-throughput nature of ALBATROSS to characterize the sequence-specific biophysical behavior of IDRs within and between proteomes.
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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.