ReviewCurrent opinion in chemical biology2023
Challenges in studying the liquid-to-solid phase transitions of proteins using computer simulations.
Review in Current opinion in chemical biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
20 citing papers in PubMed, 37 citations in OpenAlex.
- The emerging synergy of experimental and computational approaches for therapeutic modulation of biomolecular condensates.SLAS discovery : advancing life sciences R & D · 2026Review
- Molecular origins of opalescence and phase separation in mAb formulations and their relation to aggregation.Communications chemistry · 2026Article
- Rethinking bioinformatics in liquid-liquid phase separation: data resources, predictive models, and an event-centric perspective.Briefings in bioinformatics · 2026Review
- Determination of Nucleotide-Nucleotide and Nucleotide-Amino Acid Binding Interactions from All-Atom Potential-of-Mean-Force Calculations.ACS physical chemistry Au · 2026Article
- Breaking β-sheets in FUS prion-like domain preserves phase separation and function but prevents aggregation and toxicity.bioRxiv : the preprint server for biology · 2026Article
- Multiscale simulations of folded and intrinsically disordered region-containing protein condensates.Biophysical journal · 2026Article
- Recent advances in machine learning and coarse-grained potentials for biomolecular simulations.Biophysical journal · 2026Review
- Site-specific methionine oxidation alters structure and phase separation of TDP-43 C-terminal domain.bioRxiv : the preprint server for biology · 2025Article
- A Coarse-Grained MD Model for Disorder-To-Order Transitions in PolyQ Aggregation.Journal of chemical theory and computation · 2025Article
- Charged peptides enriched in aromatic residues decelerate condensate ageing driven by cross-β-sheet formation.Nature communications · 2025Article
- Transient Interdomain Interactions Modulate the Monomeric Structural Ensemble and Self-Assembly of Huntingtin Exon 1.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Functional Biomaterials Derived from Protein Liquid-Liquid Phase Separation and Liquid-to-Solid Transition.Advanced materials (Deerfield Beach, Fla.) · 2025Review
- Heterogeneous condensates of transcription factors in embryonic stem cells: Molecular simulations.Biophysical journal · 2025Article
- Chemically Informed Coarse-Graining of Electrostatic Forces in Charge-Rich Biomolecular Condensates.ACS central science · 2025Article
- Advancing Amyloid Aggregation Research: A Focus on Innovative Therapies, Molecular Modeling and Nano-Delivery Systems in Alzheimer's Disease.Current drug targets · 2025Review
- Benchmarking residue-resolution protein coarse-grained models for simulations of biomolecular condensates.PLoS computational biology · 2025Article
- Liquid-Liquid Phase Separation in the Prognosis of Lung Adenocarcinoma: An Integrated Analysis.Current cancer drug targets · 2025Article
- Interplay between charge distribution and DNA in shaping HP1 paralog phase separation and localization.eLife · 2024Article
- Expanding the molecular grammar of polar residues and arginine in FUS prion-like domain phase separation and aggregation.bioRxiv : the preprint server for biology · 2024Article
- A complex network of interdomain interactions underlies the conformational ensemble of monomeric TDP-43 and modulates its phase behavior.Protein science : a publication of the Protein Society · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
"Membraneless organelles," also referred to as biomolecular condensates, perform a variety of cellular functions and their dysregulation is implicated in cancer and neurodegeneration. In the last two decades, liquid-liquid phase separation (LLPS) of intrinsically disordered and multidomain proteins has emerged as a plausible mechanism underlying the formation of various biomolecular condensates. Further, the occurrence of liquid-to-solid transitions within liquid-like condensates may give rise to amyloid structures, implying a biophysical link between phase separation and protein aggregation. Despite significant advances, uncovering the microscopic details of liquid-to-solid phase transitions using experiments remains a considerable challenge and presents an exciting opportunity for the development of computational models which provide valuable, complementary insights into the underlying phenomenon. In this review, we first highlight recent biophysical studies which provide new insights into the molecular mechanisms underlying liquid-to-solid (fibril) phase transitions of folded, disordered and multi-domain proteins. Next, we summarize the range of computational models used to study protein aggregation and phase separation. Finally, we discuss recent computational approaches which attempt to capture the underlying physics of liquid-to-solid transitions along with their merits and shortcomings.
Indexed as
Identifiers
What OpenQuestion holds
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.