Gene Therapies and Rare Diseases: Advancing Research with Humanized Models and AI

Life Sciences, Drug Discovery & Development, Preclinical, Fundamental Research,
  • Friday, December 09, 2022 | 11am EST (NA) / 4pm GMT (UK) / 5pm CET (EU-Central)
  • 60 min

The discovery and development of orphan drugs and gene therapies for rare diseases face many challenges, including: insufficient knowledge regarding the underlying disease mechanisms, the lack of clinically relevant humanized animal disease models, insufficient AAV vector productivity and targeted delivery in gene therapy development and more.

In light of the challenges faced with orphan drug development, there has been growing interest in leveraging bioinformatics and artificial intelligence (AI) tools for accelerating drug discovery. It has become increasingly essential for researchers, biotechs and pharmaceutical companies developing rare disease therapies to implement AI tools that get results both quickly and cost-effectively — vastly reducing time to clinical trials.

The Rare Disease Data Center (RDDC) provides interfaces for the interactive visualization and exploration of biomedical data alongside several gene diagnosis tools based on the sophisticated AI and machine learning models. The RDDC integrates all reported rare disease data and information, including: epidemiological data, disease-related gene profile, variants, phenotypes, drug developmental outlines and disease-associated mouse models.

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The RDDC provides a rapid analysis and visual understanding for a rare disease of interest, offering the maximum convenience for people who are dedicated to the treatments of rare diseases, such as clinical doctors, scientific researchers from hospitals and universities and pharmaceutical companies.

The RDDC is consistently developing new tools to meet the rapidly evolving demands of rare disease scientific research. For example, the RDDC RNA Splicing Tool is based on deep neural network (DNN) strategy and bioinformatics that predicts splicing by analyzing the splicing abnormalities that have a greater effect on protein coding translation, and eventually finds out the causes of genetic diseases at the base mutation level. By combining conventional bioinformatics analysis and AI models, the loci of interest can be screened before heading onto validation experiments.

Going beyond data visualization, there is a demonstrated potential for accelerating drug development timelines with the use of such bioinformatics analysis tools. For AAV-mediated gene therapy approaches, Cyagen has produced substantial experimental data for AI model training and developed proprietary machine learning algorithms to accelerate the AAV capsid identification and optimization processes compared to traditional directed evolution methods. Utilizing AI and single-cell RNA-sequencing technologies, Cyagen’s high-throughput AAV vector discovery platform helps overcome the present limitations of gene therapy research and development (R&D) by quickly identifying next-generation AAV capsids that have enhanced tissue targeting capability, tissue specificity and productivity.

Even with the available data resources and AI tools, researchers often face difficulties in acquiring clinically relevant models of a rare disease. The Humanized Model Project has developed genetic humanization models of rare disease for preclinical research, with a focus on ophthalmology and neurology applications. These clinically relevant humanized models are readily available to researchers worldwide via Cyagen’s repository, which can also perform downstream services as a part of their comprehensive gene therapy research solution platform.

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Register for the webinar now and join Dr. Kugeng (KG) Huo, for a discussion on how to use the Rare Diseases Data Center (RDDC) resources and Cyagen’s one-stop CRO platform to accelerate the R&D of effective gene therapies for rare diseases.

Speaker

http://Kugeng%20(KG)%20Huo,%20Cyagen%20Biosciences

Kugeng (KG) Huo, PhD, Senior Scientist, Cyagen Biosciences

Kugeng (KG) Huo is a Senior Scientist at Cyagen Biosciences. He holds a BSc in biology from Concordia University and a PhD in experimental medicine from McGill University, followed by post-doctoral training at the University Health Network (UHN) of the University of Toronto, and has almost 10 years of research experience in vascular disease, oncology and bioinformatics.

Message Presenter

Who Should Attend?

This webinar is packed with relevant insights for clinical research professionals and pharmaceutical sponsors in the rare disease space. This webinar will be of interest to members of the following fields:

  • Clinical Research Hospitals
  • Biotechnology
  • Pharmaceutical & Biopharma
  • Preclinical and Academic Research
  • Rare Disease Research Organizations & Non-Profits
  • Outsourcing/Procurement

What You Will Learn

Learn how to accelerate the R&D of effective gene therapies for rare diseases with a range of innovative AI-powered resources:

  • How analytic tools from the Rare Disease Data Center (RDDC) can give new insights on rare diseases
  • How Cyagen’s humanized model project provides clinically relevant genetic humanization models of rare disease for preclinical research, including ophthalmology and neurology applications
  • How an AI-powered AAV design & virus packaging platform improves delivery and transduction performance for significantly accelerated gene therapy R&D

Xtalks Partners

Cyagen Biosciences

Cyagen Biosciences is a 900-employee company headquartered in Santa Clara, California, with additional locations in Germany, Japan, and China. Cyagen offers a “one-stop shop” tailored to biomedical scientists’ gene research needs. Cyagen is the world’s largest provider of custom-engineered mouse and rat models. Our custom murine model generation services range from DNA vector construction to embryonic stem cell manipulation, microinjection, breeding, and more. All projects are fully customizable and flexible. Cyagen provides comprehensive Contract Research Organization (CRO) services for cell and gene therapy (CGT) research, including viral vector development, CAR design and construction, disease models, phenotype analysis, and pharmacodynamic evaluations.

 

The Rare Disease Data Center (RDDC)

The Rare Disease Data Center (RDDC) is committed to providing unlimited access to comprehensive rare disease research data visualization & AI-powered pathogenic analysis tools. It integrates all reported rare disease data and information, including: epidemiological data, disease-related gene profile, variants, phenotypes, drug developmental outlines, and disease-associated mouse models. The RDDC provides a rapid analysis and visual understanding for a rare disease of interest, offering the maximum convenience for people who are dedicated to the treatments of rare diseases, such as clinical doctors, scientific researchers from hospitals and universities, and pharmaceutical companies.

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