Welcome to ac4C Info database. ac4C Info is a database platform dedicated to collecting N4 acetylytidine (ac4C) modifications in RNA from all species. At present, it is the first version, mainly consisting of four parts:the ac4CDB database, which includes the ac4C modification site information identified by ac4C-seq single base resolved detection technology for ac4C RNA acetylation modification, and the distribution area information of ac4C in the transcriptome analyzed by acetylated RNA immunoprecipitation (acRIP-seq) technology; The ac4CDiseaseDB database contains germline variations extracted from dbSNP, 1000 Genomes, and Ensembl, as well as disease related ac4C SNPs (involving the addition or loss of ac4C sites) identified from somatic variations of 33 different human cancer types collected from the Cancer Genome Atlas (TCGA); And two analysis modules for real-time interactive analysis of ac4C modification site prediction (ac4C Predictor) and evaluation of the impact of genetic variation on ac4C modification (ac4C SNP IFer). We hope that ac4C Info can become a comprehensive and valuable resource platform for sharing, centralizing, annotating, and customizing analysis of ac4C data.

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QUICK-ACCESS

ac4CDB

Database

A curated database of ac4C sites identified by high-throughput sequencing, with 1,847,660 validated entries across nine species. Supports epigenetic and functional genomics research.

ac4CDiseaseDB

Database

A meticulously curated database links ac4C modifications with genetic variations, encompassing associations with multiple diseases and their corresponding levels of evidence.

Help

Open Access

Instructions for using every part of this website

ac4C Predictor

Analysis Tool

Deep learning model predicts potential ac4C sites with high accuracy. Submit your sequences for analysis and get detailed results.

ac4C SNP Influencer(IFer)

Analysis Tool

A sophisticated computational tool designed to predict the impact of genetic variants on ac4C modification sites. Enables comprehensive analysis of user-provided SNPs through an ensemble of nine rigorously trained machine learning models.

Download

Open Access

Download the complete dataset in compressed format (. rar).







NEWS

2025-11-21: ac4CDB updated with 1,170,056 human sites.
2025-11-21: ac4CDB updated with 418,441 mouse sites.
2025-11-21: ac4CDB updated with 3,169 rat sites.
2025-11-21: ac4CDB updated with 12,848 zebrafish sites.
2025-11-21: ac4CDB updated with 5,984 worm sites.
2025-11-21: ac4CDB updated with 104,653 dog sites.
2025-11-21: ac4CDB updated with 24,051 arabidopsis thaliana sites.
2025-11-21: ac4CDB updated with 94,119 rice sites.
2025-11-21: ac4CDB updated with 14,259 tomato sites.
2025-11-21: All tools are now in use.
2025-11-21: ac4C DiseaseDB updated with 8,943,151 human SNP sites associated with ac4C modification.
2025-11-21: ac4C Info V1.0 Officially Launched.
2025-11-21: ac4CDB updated with 1,170,056 human sites.
2025-11-21: ac4CDB updated with 418,441 mouse sites.