A universal phase-plane model for in vivo protein aggregation
Fuente:
arXiv
Saved in:
| Main Authors: | Cotton, Matthew W., Goriely, Alain, Klenerman, David, Meisl, Georg |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
The standard coil or globule phases cannot describe the denatured state of structured proteins and intrinsically disordered proteins
by: Righini, F., et al.
Published: (2025)
by: Righini, F., et al.
Published: (2025)
Assessment of scoring functions for computational models of protein-protein interfaces
by: Sumner, Jacob, et al.
Published: (2024)
by: Sumner, Jacob, et al.
Published: (2024)
Evaluating representation learning on the protein structure universe
by: Jamasb, Arian R., et al.
Published: (2024)
by: Jamasb, Arian R., et al.
Published: (2024)
Aptamer-protein interaction prediction model based on transformer
by: Yan, Zhichao, et al.
Published: (2025)
by: Yan, Zhichao, et al.
Published: (2025)
Integrative modelling of protein-glycan interactions with HADDOCK3
by: Reys, Victor, et al.
Published: (2026)
by: Reys, Victor, et al.
Published: (2026)
Computational modeling of RNA-protein binding interactions under an external force
by: Wampler, Danielle, et al.
Published: (2026)
by: Wampler, Danielle, et al.
Published: (2026)
Frontiers in integrative structural biology: modeling disordered proteins and utilizing in situ data
by: Majila, Kartik, et al.
Published: (2024)
by: Majila, Kartik, et al.
Published: (2024)
Ranking protein-protein models with large language models and graph neural networks
by: Xu, Xiaotong, et al.
Published: (2024)
by: Xu, Xiaotong, et al.
Published: (2024)
Variant effects on protein-protein interactions: methods, models and diseases
by: Larsen-Ledet, Sven, et al.
Published: (2025)
by: Larsen-Ledet, Sven, et al.
Published: (2025)
Enhancing the efficiency of protein language models with minimal wet-lab data through few-shot learning
by: Zhou, Ziyi, et al.
Published: (2024)
by: Zhou, Ziyi, et al.
Published: (2024)
De novo design of high-affinity protein binders with AlphaProteo
by: Zambaldi, Vinicius, et al.
Published: (2024)
by: Zambaldi, Vinicius, et al.
Published: (2024)
Learning to engineer protein flexibility
by: Kouba, Petr, et al.
Published: (2024)
by: Kouba, Petr, et al.
Published: (2024)
De novo design of protein binders targeting the human sweet taste receptor as potential sweet proteins
by: Ding, Saisai, et al.
Published: (2026)
by: Ding, Saisai, et al.
Published: (2026)
Retrieval and competition: how a protein foundation model starts a protein
by: Jedryszek, Piotr, et al.
Published: (2026)
by: Jedryszek, Piotr, et al.
Published: (2026)
The role of topology on protein thermal stability
by: Especial, João N. C., et al.
Published: (2025)
by: Especial, João N. C., et al.
Published: (2025)
Computational design of intrinsically disordered proteins
by: Tesei, Giulio, et al.
Published: (2025)
by: Tesei, Giulio, et al.
Published: (2025)
ProteinGuide: On-the-fly property guidance for protein sequence generative models
by: Xiong, Junhao, et al.
Published: (2025)
by: Xiong, Junhao, et al.
Published: (2025)
Towards protein folding pathways by reconstructing protein residue networks with a policy-driven model
by: Khor, Susan
Published: (2026)
by: Khor, Susan
Published: (2026)
Predicting protein folding dynamics using sequence information
by: Galpern, Ezequiel A., et al.
Published: (2025)
by: Galpern, Ezequiel A., et al.
Published: (2025)
Controlled protein synthesis and spatial organisation in microfluidic environments
by: Gaizauskaite, Aukse, et al.
Published: (2025)
by: Gaizauskaite, Aukse, et al.
Published: (2025)
Multiscale differential geometry learning for protein flexibility analysis
by: Feng, Hongsong, et al.
Published: (2024)
by: Feng, Hongsong, et al.
Published: (2024)
From sequence to protein structure and conformational dynamics with AI/ML
by: Ille, Alexander M., et al.
Published: (2025)
by: Ille, Alexander M., et al.
Published: (2025)
Inferring protein folding mechanisms from natural sequence diversity
by: Galpern, Ezequiel A., et al.
Published: (2024)
by: Galpern, Ezequiel A., et al.
Published: (2024)
Fold-switching proteins push the boundaries of conformational ensemble prediction
by: Lee, Myeongsang, et al.
Published: (2026)
by: Lee, Myeongsang, et al.
Published: (2026)
Physical principles of building protein megacomplexes in a crowded milieu
by: Wang, Jiayi, et al.
Published: (2026)
by: Wang, Jiayi, et al.
Published: (2026)
Persistent local Laplacian prediction of protein-ligand binding affinities
by: Liu, Jian, et al.
Published: (2026)
by: Liu, Jian, et al.
Published: (2026)
Protein aggregation in Huntington's disease
by: Hoffner, Guylaine, et al.
Published: (2025)
by: Hoffner, Guylaine, et al.
Published: (2025)
On diffusion posterior sampling via sequential Monte Carlo for zero-shot scaffolding of protein motifs
by: Young, James Matthew, et al.
Published: (2024)
by: Young, James Matthew, et al.
Published: (2024)
Disordered But Rhythmic: the role of intrinsic protein disorder in eukaryotic circadian timing
by: Usher, Emery T., et al.
Published: (2025)
by: Usher, Emery T., et al.
Published: (2025)
A framework for conditional diffusion modelling with applications in motif scaffolding for protein design
by: Didi, Kieran, et al.
Published: (2023)
by: Didi, Kieran, et al.
Published: (2023)
Towards deep learning sequence-structure co-generation for protein design
by: Wang, Chentong, et al.
Published: (2024)
by: Wang, Chentong, et al.
Published: (2024)
Training a force field for proteins and small molecules from scratch
by: Blanco-González, Alexandre, et al.
Published: (2026)
by: Blanco-González, Alexandre, et al.
Published: (2026)
COLOR: A compositional linear operation-based representation of protein sequences for identification of monomer contributions to properties
by: Pandey, Akash, et al.
Published: (2025)
by: Pandey, Akash, et al.
Published: (2025)
ApexGen: Simultaneous design of peptide binder sequence and structure for target proteins
by: Xia, Xiaoqiong, et al.
Published: (2025)
by: Xia, Xiaoqiong, et al.
Published: (2025)
Evaluating and Scoring Ebolavirus Protein-protein Docking Models Using PIsToN
by: Shirali, Azam, et al.
Published: (2025)
by: Shirali, Azam, et al.
Published: (2025)
Applying computational protein design to therapeutic antibody discovery -- current state and perspectives
by: Bielska, Weronika, et al.
Published: (2025)
by: Bielska, Weronika, et al.
Published: (2025)
Out-of-equilibrium selection pressure enhances inference from protein sequence data
by: Dietler, Nicola, et al.
Published: (2026)
by: Dietler, Nicola, et al.
Published: (2026)
AlphaFold2 for protein structure prediction: Best practices and critical analyses
by: Radjasandirane, Ragousandirane, et al.
Published: (2024)
by: Radjasandirane, Ragousandirane, et al.
Published: (2024)
Machine learning methods to study sequence-ensemble-function relationships in disordered proteins
by: von Bülow, Sören, et al.
Published: (2024)
by: von Bülow, Sören, et al.
Published: (2024)
State-aware protein-ligand complex prediction using AlphaFold3 with purified sequences
by: Xing, Enming, et al.
Published: (2025)
by: Xing, Enming, et al.
Published: (2025)
Similar Items
-
The standard coil or globule phases cannot describe the denatured state of structured proteins and intrinsically disordered proteins
by: Righini, F., et al.
Published: (2025) -
Assessment of scoring functions for computational models of protein-protein interfaces
by: Sumner, Jacob, et al.
Published: (2024) -
Evaluating representation learning on the protein structure universe
by: Jamasb, Arian R., et al.
Published: (2024) -
Aptamer-protein interaction prediction model based on transformer
by: Yan, Zhichao, et al.
Published: (2025) -
Integrative modelling of protein-glycan interactions with HADDOCK3
by: Reys, Victor, et al.
Published: (2026)