From target gene discovery to design and evaluation, we offer a one-stop solution.
A platform that automates and accelerates the "complex information gathering and comparison work" for bio-researchers.
ORIGENICS is a tools that provides integrated support for target gene analysis, sequence comparison, and safety evaluation—essential processes in the development of nucleic acid drugs. By linking multiple databases and analysis software, it provides an environment where researchers can focus on essential design thinking.
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Compare transcripts of target genes
By using the NCBI datasets API or intenal database to obtain transcript information of target genes, it is possible to compare transcripts and design nucleic acid drugs based on common and different regions.
Comparison using multiple alignments
Multiple alignment using ClustalOmega allows for the design of nucleic acid drugs with common regions across multiple transcripts.
Nucleic acid drug design considering secondary structure prediction and mutations
By considering the secondary structure prediction results of target sites using CONTRAfold and mutation information collected from ClinVar, nucleic acid drugs such as siRNA and antisense drugs can be designed.
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Visualize and integrate all the information necessary for design decisions in a single environment.
Instantly select the most effective area.
It can instantly calculate the common and different regions of transcripts and orthologues, and select the region that will produce the desired effect.
User-friendly and intuitive UI
The graphs and maps make it intuitively easy to understand, and even those unfamiliar with programming can use it easily.
Information is gathered from various data sources.
There's no need to retrieve each piece of data individually; it gathers and displays related information.
※ GGGenome packaged version
Software that allows for high-speed base sequence searching. It enables fast and accurate off-target searches of designed nucleic acid drugs.
Designs that take safety into consideration are possible. By predicting off-target effects simultaneously with the design, it is possible to select sites that are less likely to act on other genes.
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Solving your challenges in nucleic acid drug design.
The database is distributed, and information gathering takes time.
Sequence comparison, structural prediction, and mutation analysis of target genes need to be performed using individual tools.
The process of evaluating the validity and safety of the sequence design is complex.
