ArticleDatabase : the journal of biological databases and curation2016
ChemProt-3.0: a global chemical biology diseases mapping.
Article in Database : the journal of biological databases and curation, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 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.
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.
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Who cites it
30 citing papers in PubMed.
- Transforming Molecular Science With Large Language Models: From Molecule Understanding to Autonomous Scientific Discovery.Chemistry, an Asian journal · 2026Review
- Large language models for bioinformatics.Quantitative biology (Beijing, China) · 2026Review
- Enhancing biomedical relation extraction with directionality.Bioinformatics (Oxford, England) · 2025Article
- Clinical insights: A comprehensive review of language models in medicine.PLOS digital health · 2025Review
- Autophagy dark genes: Can we find them with machine learning?Natural sciences (Weinheim, Germany) · 2023Article
- COVID-19-Related Scientific Literature Exploration: Short Survey and Comparative Study.Biology · 2022Review
- A sequence labeling framework for extracting drug-protein relations from biomedical literature.Database : the journal of biological databases and curation · 2022Article
- Computational Methods for Drug Repurposing.Advances in experimental medicine and biology · 2022Article
- Development of a chemogenomics library for phenotypic screening.Journal of cheminformatics · 2021Article
- LigTMap: ligand and structure-based target identification and activity prediction for small molecular compounds.Journal of cheminformatics · 2021Article
- Virtual screening web servers: designing chemical probes and drug candidates in the cyberspace.Briefings in bioinformatics · 2021Review
- Machine learning approaches and databases for prediction of drug-target interaction: a survey paper.Briefings in bioinformatics · 2021Review
- Computer-Aided Estimation of Biological Activity Profiles of Drug-Like Compounds Taking into Account Their Metabolism in Human Body.International journal of molecular sciences · 2020Article
- An up-to-date overview of computational polypharmacology in modern drug discovery.Expert opinion on drug discovery · 2020Review
- KGHC: a knowledge graph for hepatocellular carcinoma.BMC medical informatics and decision making · 2020Article
- Validation strategies for target prediction methods.Briefings in bioinformatics · 2020Review
- A Graph Convolutional Network-Based Method for Chemical-Protein Interaction Extraction: Algorithm Development.JMIR medical informatics · 2020Article
- Combined network pharmacology and virtual reverse pharmacology approaches for identification of potential targets to treat vascular dementia.Scientific reports · 2020Article
- Named Entity Recognition and Relation Detection for Biomedical Information Extraction.Frontiers in cell and developmental biology · 2020Review
- ACID: a free tool for drug repurposing using consensus inverse docking strategy.Journal of cheminformatics · 2019Article
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
ChemProt is a publicly available compilation of chemical-protein-disease annotation resources that enables the study of systems pharmacology for a small molecule across multiple layers of complexity from molecular to clinical levels. In this third version, ChemProt has been updated to more than 1.7 million compounds with 7.8 million bioactivity measurements for 19,504 proteins. Here, we report the implementation of global pharmacological heatmap, supporting a user-friendly navigation of chemogenomics space. This facilitates the visualization and selection of chemicals that share similar structural properties. In addition, the user has the possibility to search by compound, target, pathway, disease and clinical effect. Genetic variations associated to target proteins were integrated, making it possible to plan pharmacogenetic studies and to suggest human response variability to drug. Finally, Quantitative Structure-Activity Relationship models for 850 proteins having sufficient data were implemented, enabling secondary pharmacological profiling predictions from molecular structure. Database URL: http://potentia.cbs.dtu.dk/ChemProt/.
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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.