ReviewComputational and structural biotechnology journal2022
A brief review of protein-ligand interaction prediction.
Review in Computational and structural biotechnology journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 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
23 citing papers in PubMed.
- Article
- From data to scent: validating an ensemble AI model that predicts novel insect odourant interactions.Journal of molecular modeling · 2026Article
- Assessing the Generalizability of Machine Learning and Physics-Based Methods with DNA-Encoded Libraries.bioRxiv : the preprint server for biology · 2026Article
- AutoPocket2CREST: Automating Binding Pocket Extraction for the CREST Conformer Generation Pipeline.Journal of chemical information and modeling · 2026Article
- Prediction of Protein-Ligand Binding Affinities Using Atomic Surface Site Interaction Points.Journal of chemical information and modeling · 2026Article
- Decision Tree for Prediction of Binding Affinity.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Beyond Random Splits: Assessing the Generalization of Graph and Vector Models for WT-Structure-Only Drug Resistance Prediction under Protein-Disjoint Evaluation.Computational and structural biotechnology journal · 2026Article
- Machine Learning Meets Physics-based Modeling: A Mass-spring System to Predict Protein-ligand Binding Affinity.Current medicinal chemistry · 2025Review
- Article
- Unveiling Fluorescence Spectroscopy, Molecular Docking and Dynamic Simulations: Interactions Between Protein and 2, 4-Dinitrophenylhydrazine Schiff Base.Journal of fluorescence · 2025Article
- EM-PLA: environment-aware heterogeneous graph-based multimodal protein-ligand binding affinity prediction.Bioinformatics (Oxford, England) · 2025Article
- APBIO: bioactive profiling of air pollutants through inferred bioactivity signatures and prediction of novel target interactions.Journal of cheminformatics · 2025Article
- Predicting Inhibition of CDK2 with SAnDReS: The Application of Machine Learning to Navigate the Scoring Function Space.Current medicinal chemistry · 2025Review
- CLAPE: Protein-Ligand Binding Site Prediction via Protein Language Models.Methods in molecular biology (Clifton, N.J.) · 2025Article
- Interplay of PROTAC Complex Dynamics for Undruggable Targets: Insights into Ternary Complex Behavior and Linker Design.ACS medicinal chemistry letters · 2024Article
- From Proteins to Ligands: Decoding Deep Learning Methods for Binding Affinity Prediction.Journal of chemical information and modeling · 2024Article
- Intelligent Protein Design and Molecular Characterization Techniques: A Comprehensive Review.Molecules (Basel, Switzerland) · 2023Review
- Article
- Expanding Training Data for Structure-Based Receptor-Ligand Binding Affinity Regression through Imputation of Missing Labels.ACS omega · 2023Article
- Self- and cross-attention accurately predicts metabolite-protein interactions.NAR genomics and bioinformatics · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The task of identifying protein-ligand interactions (PLIs) plays a prominent role in the field of drug discovery. However, it is infeasible to identify potential PLIs via costly and laborious
Indexed as
Identifiers
What Socratic 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 Socratic graph.