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Next-Generation Sequencing Applications for Antiviral Drug Development & FDA Guidance for Data Submission, Upcoming Webinar Hosted by Xtalks

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Gene variants can compromise virologic response and impact clinical outcomes.


TORONTO (PRWEB)

Accurate detection and monitoring of minority variants that confer drug and antiviral resistance is critical to therapeutic and vaccine trials. Specifically, it aids in controlling the emergence of novel variants that can potentially lead to outbreaks of disease and breakthrough infections. Gene variants can compromise virologic response and impact clinical outcomes.

In this webinar the featured speaker explores the following case study:

Eurofins Viracor Biopharma has developed and validated a next-generation sequencing (NGS) assay to determine the genetic variability in the F gene of respiratory syncytial virus (RSV) isolated from human nasal swab (NS) specimens. The NGS method has several advantages over standard Sanger sequencing related to higher sensitivity, quantifiable, cost effective and automatable data analysis steps. The study utilized a deep sequencing approach to quantify minority variants. The patients in this study received a therapeutic targeting RSV. Defined proportions of artificial RNA and virus quasispecies were constructed and their relative proportions were measured using the NGS assay. The assay was validated for the performance characteristics such as analytical sensitivity, precision and accuracy.

To learn more about the applications of this NGS assay and get FDA guidance on data submission, register for this webinar on antiviral drug development.

Join Kirthi Kutumbaka, PhD, Senior Research Scientist, Eurofins Viracor Biopharma, for the live webinar on Friday, November 11, 2022, at 11am EST (4pm GMT/UK).

For more information, or to register for this event, visit Next-Generation Sequencing Applications for Antiviral Drug Development & FDA Guidance for Data Submission.

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Contact:

Vera Kovacevic

Tel: +1 (416) 977-6555 x371

Email: vkovacevic@xtalks.com

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