AI-Enhanced Prediction of Clinical Immunogenicity Outcomes with EpiVax’s ISPRI Toolkit
Date: May 8, 2025 at 11:00 am EST
Speakers: Guilhem Richard, Ph.D., Chief Technology Officer, EpiVax.
In silico immunogenicity risk assessment is a key step in the development path for biologic therapeutics. Computational tools have been used to identify T cell epitopes from primary amino acid sequences and assess the immunogenic potential of therapeutic candidates for several decades. In silico modeling during discovery and preclinical development is recommended as T cell epitopes contained in biologic sequences may activate the immune system, enabling the development of anti-drug antibodies that can reduce drug efficacy and/or induce adverse events.
This webinar will review an integrated web-based platform called ISPRI (Interactive Screening and Protein Reengineering Interface) which contains a multitude of tools for assessing immunogenic risk of biotherapeutics, such as identification of promiscuous T cell epitopes, and prediction of anti-drug antibody (ADA) responses. Novel artificial intelligence and machine learning (AI/ML) techniques have now been integrated into ISPRI, leading to improved performance. This presentation will focus on ISPRI’s new AI-based models which have led to a 6-fold increase in the correlation between predicted and observed rates of ADAs, while significantly reducing the rate of false negative (low predicted immunogenicity / high observed immunogenicity) by 85%.
About Guilhem Richard:
Guilhem Richard, Ph.D. is the Chief Technology Officer of EpiVax, Inc. and has over 10 years of experience in computational immunology and vaccinology. Dr. Richard joined the EpiVax immunoinformatics team in 2014, developing new models for understanding the interaction between the immune system and protein sequences, while supporting EpiVax’s commercial and research programs. He spearheaded the development of a new computational platform for the development of personalized, neoantigen-based cancer vaccines (Ancer), and conducted subsequent translational work at EpiVax’s subsidiary company, EpiVax Therapeutics, Inc., from 2019 to 2024 where he served as Chief Scientific Officer/Chief Technology Officer. Dr. Richard has been leading innovation efforts at EpiVax since 2024 and is overseeing the development of its next generation of immunoinformatics tools. Dr. Richard holds a Ph.D. in Bioinformatics from Boston University and a M.Eng. in Bioinformatics and Modeling from the National Institute of Applied Sciences (INSA) of Lyon, France.
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Balancing innovation and efficiency in antibody drug development is no easy task. Researchers often face delays due to fragmented tools and bottlenecks in data access and analysis.
But what if you could predict antibody liability sites in real time, without waiting on bioinformatics pipelines?
Join us for a webinar where Zev Wisotsky, Ph.D. and Samantha Jeschonek, Ph.D. showcase how 𝗦𝗶𝗴𝗻𝗮𝗹𝘀𝗢𝗻𝗲 empowers scientists to streamline the Design-Make-Test-Decide cycle, accelerating ADC discovery and improving developability assessments.
𝗪𝗵𝗮𝘁 𝘆𝗼𝘂’𝗹𝗹 𝗹𝗲𝗮𝗿𝗻:
– Real-time antibody liability prediction to improve developability
– How to apply the Design-Make-Test-Decide framework to ADC discovery
– How to reduce dependency on bioinformatics teams
– Ways to unify your workflow and minimize task-switching
It’s a great chance to see how SignalsOne is helping scientists make antibody discovery faster, more predictive, and more efficient.
Webinar Details
Date: April 29th, 2025 | Time: 11 AM, EDT
Speakers
Zev Wisotsky is a Sr. Principal Marketing Manager for Biologics in the Signals Suite. His scientific training and research background includes neuroscience, biochemistry, molecular biology, and drug discovery. He has spent 7+ years in software in go-to-market teams across industries with a heavy focus on biopharma/biotech R&D.
Samantha Jeschonek is the product manager for Data-driven Analytics in Signals Research Suite, Lead Discovery Premium, and Lead Discovery. She holds a Ph.D. in Molecular Biology, Cell Biology, and Biochemistry. She has spent the last several years as a product manager for drug discovery informatics software. In addition to more than a decade of bench experience in molecular biology, she brings a passion for FAIR data / metadata to the Revvity Signals product team.
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Advancements in AI are revolutionizing antibody design, enabling the creation of epitope-specific antibodies with exceptional specificity, developability, and function. But how are these breakthroughs being applied in real-world discovery?
Join us as Surge Biswas, co-founder and CEO of Nabla Bio, discusses how generative AI and experimental screening technologies are reshaping antibody discovery.
Date: April 10, 2025
Time: 11:00 AM EST
About the Speaker:
Surge Biswas is a co-founder and the CEO of Nabla Bio, a company developing generative AI and experimental screening technologies for next generation antibody design. Prior to Nabla, Surge obtained his PhD from George Church’s lab at Harvard University, where he and his colleagues developed the first protein language models and demonstrated their great promise for protein design.
Don’t miss this opportunity to hear directly from an innovator in the field and gain insights into the future of AI-driven therapeutics.
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The Jackson Laboratory’s upcoming April 2 virtual symposium will showcase JAX’s humanized models designed to enable rational selection of lead therapeutic candidates with more accurate predictions of biologic drug performance.
These next-generation humanized models faithfully reproduce human physiology and pathology, providing equivalent or better predictive ability than nonhuman primates for human pharmacokinetics. Industry experts will share their insights through three 20-minute presentations.
Register here to learn more and view the full event details.
Limitations of conventional specificity tools have contributed to undetected polyspecificity in antibody drugs. We performed a systematic specificity analysis of preclinical and clinical antibodies and identified a surprisingly high rate of off-target binding throughout the industry, with up to one third of antibody drugs displaying off-target binding.
Our findings across different phases of drug development suggest polyspecificity is a major source of drug attrition, and better tools could help to improve drug approvals and patient safety.
In this webinar, we will discuss the emergence of cell-based protein arrays as an alternative and improved technology to evaluate antibody specificity.
Insights You Don’t Want to Miss:
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Learn how cell-based protein arrays, including Integral Molecular’s Membrane Proteome Array™ (MPA), enables precise assessment of binding interactions.
- Why the MPA identified off-target interactions that were missed in tissue cross-reactivity studies.
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How early detection of off-target antibody binding can mitigate drug toxicity and attrition.
Webinar Details
Date: February 27, 2025 | Time: 11 AM, ET
Speakers
Diana Norden is a Senior Scientific Writer at Integral Molecular. Her work primarily focuses on applications of the Membrane Proteome Array, including regulatory requirements for specificity testing. She has written extensively on current standards and best practices for antibody specificity profiling, and recently co-authored a review on emerging trends in biotherapeutic specificity testing that was published in mAbs. Diana earned her Ph.D. from The Ohio State University in 2015.
Kristopher Raghavan is a Senior Application Scientist at Integral Molecular, specializing in the Membrane Proteome Array. Since joining in 2022, he has been instrumental in establishing the MPA as the leading solution for antibody specificity profiling. Kristopher offers technical support, manages projects, and analyzes data for customer projects. He earned his Ph.D.from Drexel University in 2021.
This is a great opportunity to stay ahead of evolving standards in antibody specificity testing.
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We hope you can join us, and we look forward to seeing you there!
In this webinar we will critically review the current methods for generating early developability data, identify existing shortcomings and present innovative high-throughput assays utilizing the plate-based PAIA technology. Attendees will learn about how to use this method which is designed to deliver reliable and unambiguous biophysical developability data, serving as an efficient replacement for time-intensive and laborious HPLC and ELISA methods.
Key Takeaways:
- Review of current methods for early developability data generation.
- Identification of shortcomings in existing techniques.
- Introduction to PAIA high-throughput assays for efficient biophysical data collection.
About Speaker:
Sebastian Giehring earned his PhD in analytical chemistry from the University of Hamburg. He subsequently worked in a scientific role at a spectrometry company before transitioning to a venture capital firm as an investment manager for life sciences. In 2006, he chose to change to the startup sector, taking on various management roles in life science tool companies. In 2014, he invented the PAIA microplate technology and founded PAIA Biotech GmbH, where he has served as CEO ever since.
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