:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhu, Yan, Wang, Shihao, Han, Yong, Lu, Yao, Qiu, Shulan, Jin, Ling, Li, Xiangdong, Zhang, Weixiong
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Biomolecules
Online Access:	https://arxiv.org/abs/2412.16664
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Variant effects on protein-protein interactions: methods, models and diseases
by: Larsen-Ledet, Sven, et al.
Published: (2025)

Causal knowledge graph analysis identifies adverse drug effects
by: Toonsi, Sumyyah, et al.
Published: (2025)

Integrative modelling of protein-glycan interactions with HADDOCK3
by: Reys, Victor, et al.
Published: (2026)

Aptamer-protein interaction prediction model based on transformer
by: Yan, Zhichao, et al.
Published: (2025)

De novo design of protein binders targeting the human sweet taste receptor as potential sweet proteins
by: Ding, Saisai, et al.
Published: (2026)

Computational modeling of RNA-protein binding interactions under an external force
by: Wampler, Danielle, et al.
Published: (2026)

Structured Random Binding: a minimal model of protein-protein interactions
by: Zou, Ling-Nan
Published: (2025)

Sequence-based protein-protein interaction prediction and its applications in drug discovery
by: Charih, François, et al.
Published: (2025)

Multiscale differential geometry learning for protein flexibility analysis
by: Feng, Hongsong, et al.
Published: (2024)

In silico bioactivity prediction of proteins interacting with graphene-based nanomaterials guides rational design of biosensor
by: Ye, Jing, et al.
Published: (2024)

Assessing interaction recovery of predicted protein-ligand poses
by: Errington, David, et al.
Published: (2024)

Agentic AI platforms for autonomous training and rule induction of human-human and virus-human protein-protein interactions
by: Do, Hung N., et al.
Published: (2026)

Effective model of protein--mediated interactions in chromatin
by: Borando, Francesco, et al.
Published: (2024)

Assessment of scoring functions for computational models of protein-protein interfaces
by: Sumner, Jacob, et al.
Published: (2024)

Kermut: Composite kernel regression for protein variant effects
by: Groth, Peter Mørch, et al.
Published: (2024)

TopoQA: a topological deep learning-based approach for protein complex structure interface quality assessment
by: Han, Bingqing, et al.
Published: (2024)

Learning to engineer protein flexibility
by: Kouba, Petr, et al.
Published: (2024)

Predicting mutational effects on protein binding from folding energy
by: Deng, Arthur, et al.
Published: (2025)

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)

Protein-Nucleic Acid Complex Modeling with Frame Averaging Transformer
by: Huang, Tinglin, et al.
Published: (2024)

The role of topology on protein thermal stability
by: Especial, João N. C., et al.
Published: (2025)

Computational design of intrinsically disordered proteins
by: Tesei, Giulio, et al.
Published: (2025)

ProCaliper: functional and structural analysis, visualization, and annotation of proteins
by: Rozum, Jordan C., et al.
Published: (2025)

The effect of stereochemical constraints on the structural properties of folded proteins
by: Logan, Jack A., et al.
Published: (2025)

Predicting protein folding dynamics using sequence information
by: Galpern, Ezequiel A., et al.
Published: (2025)

Controlled protein synthesis and spatial organisation in microfluidic environments
by: Gaizauskaite, Aukse, et al.
Published: (2025)

Inferring protein folding mechanisms from natural sequence diversity
by: Galpern, Ezequiel A., et al.
Published: (2024)

A universal phase-plane model for in vivo protein aggregation
by: Cotton, Matthew W., et al.
Published: (2025)

From sequence to protein structure and conformational dynamics with AI/ML
by: Ille, Alexander M., et al.
Published: (2025)

Fold-switching proteins push the boundaries of conformational ensemble prediction
by: Lee, Myeongsang, et al.
Published: (2026)

Physical principles of building protein megacomplexes in a crowded milieu
by: Wang, Jiayi, et al.
Published: (2026)

Persistent local Laplacian prediction of protein-ligand binding affinities
by: Liu, Jian, et al.
Published: (2026)

Towards deep learning sequence-structure co-generation for protein design
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)

De novo design of high-affinity protein binders with AlphaProteo
by: Zambaldi, Vinicius, 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)

GenShin:geometry-enhanced structural graph embodies binding pose can better predicting compound-protein interaction affinity
by: Zhu, Pingfei, et al.
Published: (2025)

ApexGen: Simultaneous design of peptide binder sequence and structure for target proteins
by: Xia, Xiaoqiong, et al.
Published: (2025)

Out-of-equilibrium selection pressure enhances inference from protein sequence data
by: Dietler, Nicola, et al.
Published: (2026)

AlphaFold2 for protein structure prediction: Best practices and critical analyses
by: Radjasandirane, Ragousandirane, et al.
Published: (2024)