ArticleJournal of cheminformatics2026
DICL: a manually curated database of ion channels and ligands as a useful platform for drug discovery targeting ion channels.
Article in Journal of cheminformatics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Ion channels represent a crucial class of drug targets. Currently, with the structural elucidation of more and more ion channels and the rapid development of artificial intelligence in drug discovery, unprecedented opportunities have emerged for designing and discovering drugs that target ion channels. However, both traditional computer-aided drug design and artificial intelligence drug design rely heavily on a large amount of effective data, particularly high-quality data. Yet, data pertaining to relevant ion channels and their ligands are notably scarce. Therefore, constructing a comprehensive and reliable database encompassing ion channels and their ligands is paramount for drug discovery efforts centered around ion channels. To address this gap, we developed database (DICL, Database of Ion Channels and Ligands) including 464,225 data records with the manually curated structure and activity information of ligands from over 6,000 peer-reviewed publications, patents and other databases. As far as we know, it represents the largest and most detailed online database dedicated to ion channels and their ligands. Additionally, the database integrates information regarding the binding sites of ligands, channelopathies, and specific experimental conditions related to biological activities for the first time. Furthermore, it features a user-friendly interface that facilitates querying, browsing, and utilization of this resource. DICL is freely available and can be accessed at https://fca_icdb.mpu.edu.mo/ICHDB/public/.
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.