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Drawing on two decades of expertise in biomedical research, Cyagen Biosciences has developed the iCyagen Digital Research Service Platform to address the field’s core research pain points and R&D needs. The platform will be officially launched in full on September 1, 2026.

Pathogenicity Predictor is an in‑silico tool for evaluating the pathogenic risk of genetic variants. It integrates multi‑source genomic evidence to generate quantitative pathogenicity scores and delivers standardized clinical variant classifications, supporting variant interpretation for both basic research and molecular genetic screening workflows.

iCyagen AI-Gene Editing Designer is a multi-functional intelligent agent designed for cell and animal experimental scenarios. It automates the generation of standardized gene editing strategies, including knockout (KO), point mutations, and cell line knockouts in rodent models. Covering basic research, mechanism analysis, and functional validation, it aims to lower the barrier to gene editing design and provide researchers with efficient, precise, and actionable outputs.

This tool utilizes the DanQ and Transformer deep learning models, integrated with the E-value algorithm from bioinformatics, to predict the potential impact of genetic variants on RNA splicing products by analyzing changes in splice sites before and after sequence alteration.

ASO Designer is a cutting-edge, AI-powered tool tailored for the precision design of Antisense Oligonucleotides (ASOs). The tool leverages state-of-the-art deep learning architectures to assist researchers in identifying optimal sequences for Exon Skipping, Exon Inclusion, and mRNA Degradation.