ArticleJournal of chemical information and modeling2023
Article in Journal of chemical information and modeling, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 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
22 citing papers in PubMed.
- Salvianolic Acid a Disrupts the HSP90α-AKT-PERK Ternary Complex to Alleviate Atherosclerosis by Activating Endoplasmic Reticulum Stress of Senescent Vascular Smooth Muscle Cells.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Phys-AbGAT: a physics-informed multi-task graph attention network for robust antibody-antigen binding affinity prediction.Bioinformatics (Oxford, England) · 2026Article
- Thermodynamic variations at the HPV E1-E2 interface correlate with clinical risk groups: an in-silico analysis.Virology journal · 2026Article
- In Silico Design and Computational Characterization of Novel Chimeric Multiepitope Antigens for Mpox Serosurveillance: An Immunoinformatics Approach.Health science reports · 2026Article
- LFA-1 interaction with GBP-130 oneLife · 2026Article
- The macrophage entry mechanism of SARS-CoV-2 mediated by surface CD98/TMPRSS11E complex is associated with the cellular tropism toward proinflammatory M1 and pathogenesis.Respiratory research · 2026Article
- Molecular docking and dynamics simulation studies uncover the host-pathogen protein-protein interactions in soybean (Frontiers in bioinformatics · 2026Article
- NanoBind: Mechanism-Driven Deep Learning of Nanobody-Antigen Molecular Recognition.Research (Washington, D.C.) · 2026Article
- Analysing open-source protein folding models for nanobody binding prediction.Frontiers in bioinformatics · 2026Article
- Machine Learning Approaches for Interpretable Antibody Property Prediction Using Structural Data.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Exploring antibody-antigen binding affinity using degree-based topological indices: a graph-theoretical approach.Frontiers in chemistry · 2026Article
- Deep learning-guided rational engineering of synergistic PD-1 and LAG-3 blockade for enhanced tumor immunomodulation.Journal of computer-aided molecular design · 2025Article
- In silico prediction method for plant Nucleotide-binding leucine-rich repeat- and pathogen effector interactions.The Plant journal : for cell and molecular biology · 2025Article
- Further exploration of the quantitative distance-energy and contact number-energy relationships for predicting the binding affinity of protein-ligand complexes.Biophysical journal · 2025Article
- TREM-1 as a Potential Coreceptor in Norovirus Pathogenesis: Insights from Transcriptomic Analysis and Molecular Docking.ACS omega · 2025Article
- Nanobody engineering: computational modelling and design for biomedical and therapeutic applications.FEBS open bio · 2025Review
- Rapid response to fast viral evolution using AlphaFold 3-assisted topological deep learning.Virus evolution · 2025Article
- Learning the language of plant immunity: opportunities and challenges for AI-assisted modelling of fungal effector x host protein complexes.Computational and structural biotechnology journal · 2025Review
- PPB-Affinity: Protein-Protein Binding Affinity dataset for AI-based protein drug discovery.Scientific data · 2024Article
- Rapid response to fast viral evolution using AlphaFold 3-assisted topological deep learning.ArXiv · 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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Protein-Protein binding affinity reflects the binding strength between the binding partners. The prediction of protein-protein binding affinity is important for elucidating protein functions and also for designing protein-based therapeutics. The geometric characteristics such as area (both interface and surface areas) in the structure of a protein-protein complex play an important role in determining protein-protein interactions and their binding affinity. Here, we present a free web server for academic use,
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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.