ReviewBiophysical reviews2022
Protein-protein interaction prediction methods: from docking-based to AI-based approaches.
Review in Biophysical reviews, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
What it found
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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.
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Who cites it
19 citing papers in PubMed.
- MD-Transformer: Multimodal Integration of ProtBERT Embeddings and Physicochemical Descriptors for Protein-Protein Interface Residue Prediction.International journal of molecular sciences · 2026Article
- Structure-Guided Design of Proteomimetics Targeting the SARS-CoV-2 S-RBD/hACE2 Interface.Journal of medicinal chemistry · 2026Article
- Targeting protein protein interactions and their modulators to enable new therapeutic strategies for human diseases.NPJ systems biology and applications · 2026Review
- Interpretable Antibody-Antigen Structural Interface Prediction via Adaptive Graph Learning and Cyclic Transfer.bioRxiv : the preprint server for biology · 2026Article
- Enhancing mutation impact prediction in protein-protein interactions through interpretable graph-based multi-level feature interactions.Bioinformatics (Oxford, England) · 2026Article
- Search for Specific Inhibitors Targeting Type IA Topoisomerases.Journal of molecular biology · 2026Review
- Cell-Surface Inter-Cytochrome Electron Transfer Limits Biofilm Electron Conduction Kinetics inJournal of the American Chemical Society · 2025Article
- Bacterial two-hybrid systems evolved: innovations for protein-protein interaction research.Journal of bacteriology · 2025Review
- Nanobodies: From Discovery to AI-Driven Design.Biology · 2025Review
- Sensory plasticity caused by up-down regulation encodes the information of short-term learning and memory.iScience · 2025Article
- Epitope Mapping with Sidewinder: An XL-MS and Structural Modeling Approach.International journal of molecular sciences · 2025Article
- Multimeric protein interaction and complex prediction: Structure, dynamics and function.Computational and structural biotechnology journal · 2025Review
- HDACs MADS-domain protein interaction: a case study of HDA15 and XAL1 inPlant signaling & behavior · 2024Article
- Repurposing of sericin combined with dactolisib or vitamin D to combat non-small lung cancer cells through computational and biological investigations.Scientific reports · 2024Article
- EuDockScore: Euclidean graph neural networks for scoring protein-protein interfaces.Bioinformatics (Oxford, England) · 2024Article
- Revolutionizing Molecular Design for Innovative Therapeutic Applications through Artificial Intelligence.Molecules (Basel, Switzerland) · 2024Review
- Simplifying complex antibody engineering using machine learning.Cell systems · 2023Review
- Computational biophysics and structural biology of proteins-a Special Issue in honor of Prof. Haruki Nakamura's 70th birthday.Biophysical reviews · 2022Article
- Dual-mechanism therapy for chronic rhinosinusitis via siRNA targeting of bacterial 16S rRNA and disruption of CFTR-pathogen interactions.Brazilian journal of otorhinolaryngologyArticle
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Protein-protein interactions (PPIs), such as protein-protein inhibitor, antibody-antigen complex, and supercomplexes play diverse and important roles in cells. Recent advances in structural analysis methods, including cryo-EM, for the determination of protein complex structures are remarkable. Nevertheless, much room remains for improvement and utilization of computational methods to predict PPIs because of the large number and great diversity of unresolved complex structures. This review introduces a wide array of computational methods, including our own, for estimating PPIs including antibody-antigen interactions, offering both historical and forward-looking perspectives.
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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.