ArticleCurrent research in chemical biology2022
Whole proteome mapping of compound-protein interactions.
Article in Current research in chemical biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed, 12 citations in OpenAlex.
- A diffusion-based framework for designing molecules in flexible protein pockets.Science advances · 2026Article
- Unified protein-small molecule graph neural networks for binding site prediction.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Multimodal Bond Reconstruction toward Generative Molecular Design.Journal of chemical information and modeling · 2026Article
- Leveraging Transfer Learning for Predicting Protein-Small-Molecule Interaction Predictions.Journal of chemical information and modeling · 2025Article
- CANDI: a web server for predicting molecular targets and pathways of cannabis-based therapeutics.Journal of cannabis research · 2025Article
- CANDI: A Web Server for Predicting Molecular Targets and Pathways of Cannabis-Based Therapeutics.Research square · 2024Article
- Colorectal Cancer Detection via Metabolites and Machine Learning.Current issues in molecular biology · 2024Article
- Antinociceptive Effects of Cannabichromene (CBC) in Mice: Insights from von Frey, Tail-Flick, Formalin, and Acetone Tests.Biomedicines · 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 at 3 institutions in 1 country.
Funding
Abstract
Off-target binding is one of the primary causes of toxic side effects of drugs in clinical development, resulting in failures of clinical trials. While off-target drug binding is a known phenomenon, experimental identification of the undesired protein binders can be prohibitively expensive due to the large pool of possible biological targets. Here, we propose a new strategy combining chemical similarity principle and deep learning to enable proteome-wide mapping of compound-protein interactions. We have developed a pipeline to identify the targets of bioactive molecules by matching them with chemically similar annotated "bait" compounds and ranking them with deep learning. We have constructed a user-friendly web server for drug-target identification based on chemical similarity (DRIFT) to perform searches across annotated bioactive compound datasets, thus enabling high-throughput, multi-ligand target identification, as well as chemical fragmentation of target-binding moieties.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.