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You are here: Home / Archives for Antibody discovery

Join us on April 25 to learn how to harness divergent species to access difficult and conserved antibody targets!

April 16, 2024 by Janice Reichert

Registration is open!

To exploit highly conserved and difficult drug targets, including GPCRs and ion channels, monoclonal antibody discovery efforts are increasingly relying on the advantages offered by divergent species such as rabbits, camelids, and chickens. Divergent host species enable robust immune responses against highly conserved binding sites and yield antibodies capable of penetrating functional pockets via long HCDR3 regions. Pan-reactive molecules are often produced by divergent hosts, and these antibodies can be tested in accessible animal models, offering a faster path to clinical development. In this webinar, Dr. Ross Chambers will analyze gaps in therapeutic antibodies that stem from the historic use of mice and examine opportunities to exploit previously inaccessible targets through discovery in alternate species. Examples of preclinical and clinical-stage antibodies raised in divergent species will be highlighted, providing an overview of their success.

Filed Under: Antibody discovery Tagged With: antibody discovery, Webinar

Learn how to harness the power of ADCs in our next webinar!

March 15, 2024 by Janice Reichert

Join us for our next webinar!

Antibody-drug conjugates (ADCs) have emerged as an important class of targeted therapeutics, combining the targeting specificity of antibodies with the potency of cytotoxic drugs. Recent advances in ADC research have led to improved stability, efficacy, and safety. There is a clear trend within Antibody therapeutics towards ADCs with the improvement of novel technologies to address a growing cancer population worldwide.

However, developing effective ADCs is expensive and poses unique informatics challenges. Researchers must integrate data across multiple modalities – from antibody discovery and engineering to small molecule payload development and optimization. Seamless collaboration between immunologists, protein engineers, chemists, and pharmacologists are essential.

The Signals™ Research Suite is the first integrated informatics platform purpose-built to accelerate multi-modal drug development like ADCs and is composed of a trio of scientific software applications:

  • Signals™ Notebook: The premier cloud-based electronic lab notebook that facilitates creation and communication about molecules of interest via hierarchical editing language for macromolecules (HELM), powered Chemdraw®.
  • Signals™ VitroVivo: For data analysis, visualization, and curve fitting bioassay results for standardized and consistent results, powered by Spotfire®.
  • Signals™ Inventa: Enabling multi-assay or multi-study comparison, powered by Spotfire, with the ability to find the best candidate to move forward, accelerating decision making. Researchers gain better visibility into ADC candidate profiling and can quickly determine structure-activity and structure-property relationships across modalities to select optimal conjugation sites and pairings.

Attendees will gain insights into the latest trends and challenges in ADC development, informed by recent research and advancements in the field. The presentation will also emphasize the importance of integrating various data types and sources in the ADC development process, showcasing how the Signals Research Suite facilitates this integration, thereby driving more efficient, safer drug development.

About the speaker:

Dr. Wisotsky attended the University of California, Santa Cruz with a focus on molecular and cellular biology. He obtained his Ph.D. at the University of California, Riverside for Neuroscience where he worked on taste detection from molecular mechanism to behavioral outcomes in fruit flies. Subsequently Zev joined startup companies with the focus to support scientists getting their science done more efficiently. He has worked within pre-sales teams to discover, consult, and deliver software solutions that meet customer needs both scientifically and technically. Today he is a Revvity Senior Principle Marketing Manager for Biologics in the Signals Suite.

Registration is open!

 

Filed Under: ADC, Antibody discovery Tagged With: antibody discovery, Antibody drug conjugates

Call for papers – Deadline for inquiry submissions is April 1!

February 13, 2024 by Janice Reichert

The Antibody Society’s latest analysis of the current early-stage clinical pipeline of antibody therapeutics shows that the biopharmaceutical industry is engaging in innovative research and development. For both cancer and non-cancer indications, ~60% of the antibody therapeutics in early-stage clinical development target novel antigens, and a growing portion of those against well-validated targets have been designed in novel formats (e.g., bispecifics, bispecific biparatopics, antibody-drug conjugates (ADCs), Fc engineered, hybrid isotype, immunoconjugates).

For mAbs’ next Collection, we invite The Antibody Society members, mAbs readers, and the broader scientific community to contribute review articles focused on innovative approaches for antibody therapeutic discovery. The reviews should narrate the state of the art on innovative formats, targets, or platforms for antibody therapeutic discovery, and speculate on new vistas for the field.

mAbs will waive publication charges for up to 8 of the best review articles selected from pre-submission inquiries, which should include the proposed authors, title, abstract, and general outline of the intended review article.

The deadline for pre-submission inquiries is April 1, 2024.
Authors will be notified of the Editors’ decision by April 15, 2024.
The deadline for submission of the completed review articles is December 15, 2024.

We are particularly interested in reviews on the following topics:

  • Novel platforms for antibody therapeutic discovery (e.g., novel target/epitope selection, novel approaches for enhancing or reducing Fc effector function, novel methods for enhancing antibody therapeutics half-life).
  • Novel targets or formats for cancer immunotherapy (i.e., novel antigens and formats for targeting tumors, immune cells, and the tumor microenvironment), design strategies for novel approaches in cancer immunotherapy.
  • Novel targets or formats beyond oncology (e.g., autoimmune diseases, cardiovascular/hemostasis, neurology, infectious disease, ophthalmology, rare diseases).
  • Novel immune-modulating antibodies (i.e., novel immune checkpoints and immune agonists), relevant design strategies, formats, applications and considerations for safety and tolerability in multiple disease areas.
  • Innovative format combinations (e.g., Bispecific/Multispecific ADCs, Bispecific/Multispecific checkpoint inhibitors), design strategies for these molecules and considerations for safety.
  • Novel formats for well-validated targets, relevant design strategies and considerations for efficacy, biodistribution and safety.

Although these topics are especially of interest, we welcome well-written reviews in related areas as well.

Please send pre-submission inquiries that include the authors, title, abstract, and general outline of the intended review article to Editor-in-Chief Dr. Janice Reichert (reichert.biotechconsulting@gmail.com) and Guest Editors Drs. Silvia Crescioli (silvia.crescioli@antibodysociety.org) and Kristina Ilieva-Babinsky (k.m.ilieva@gmail.com), and Prof. Jamie Spangler (jamie.spangler@jhu.edu). Please feel free to contact us if you have any questions.

Examples of other mAbs Collections can be found here.

Filed Under: Antibody discovery Tagged With: antibody discovery, antibody therapeutics, innovation

Computational Antibody Discovery Symposium now On Demand

June 28, 2023 by Janice Reichert

Did you miss the Computational Antibody Discovery Symposium held on June 22?

On Demand videos are now available on YouTube!

  1. Introduction by Janice Reichert (The Antibody Society); Konrad Krawczyk (Natural Antibody); Andrew Buchanan (AstraZeneca), and
    the first speaker: Pietro Sormanni (University of Cambridge). Third-generation approaches of antibody discovery and optimization
  2. Tzvika Hartman (Biolojic Design). AI-driven design of smart therapeutics
  3. Sandeep Kumar (Boehringer Ingelheim). Biopharmaceutical Informatics: Syncretic use of computation and experimentation in discovery and development of biotherapeutics
  4. Ben Holland (Antiverse). Machine learning-based design of antibodies against difficult targets
  5. Panel discussion summary: Panelists provided their opinions and insights on these questions:
    What properties are more urgent to be able to design in silico – binding specificity, developability or something else?
    What performance should computational antibody design achieve to improve upon established protocols?
    What are the biggest hurdles for computational antibody discovery to achieve its full potential (models, data or something else)?
    How could industry and academia complement each other to solve the problem of computationally designing antibodies?
    What role does big tech/biopharma have to play in development and adoption of computational antibody design paradigms?
  6. Concluding remarks (Andrew Buchanan, AstraZeneca)

The complete playlist is here.

Please note: Victor Greiff presented unpublished material; posting of the video of his talk will be delayed. Please subscribe to our YouTube channel to receive an alert when new videos are added.

Thank you for your interest in the Symposium. We hope the videos inspire useful discussions in the future.

Filed Under: Antibody discovery, The Antibody Society Tagged With: antibody discovery, computation, in silico design, machine learning

Computational Antibody Discovery: State of the Art

April 28, 2023 by Janice Reichert

Join us on June 22 for this free virtual Symposium – Registration is open!

Recent advances in computational and machine learning sciences have had a substantial impact on the antibody discovery process. Novel protocols that incorporate computational approaches can now be used to generate functional antibody therapeutics with good developability. In silico methods complement existing experimental strategies, and their use has become more mainstream in the biopharmaceutical industry. However, the application of computational de novo design strategies requires a thorough understanding of their capabilities, limitations, and experimental validation, as well as their place in the overall discovery pipeline and value chain.

In this Symposium, leading experts in computational antibody discovery from academia and industry will discuss their scientific strategies and progress to date. The event aims to provide a platform for better understanding of the breakthroughs and future directions in this multidisciplinary field, through talks, a panel session, and your questions and insights.

The Symposium commences at 8am PT/11am ET/4pm BST/5pm CET with speakers Drs. Pietro Sormanni, Yanay Ofran, Victor Greiff, Sandeep Kumar, and Ben Holland. The panel session, moderated by Konrad Krawczyk and including Jiye Shi, Tom Diethe and several speakers, will start at ~2pm ET. The Symposium concludes at 3pm ET following final remarks by Andrew Buchanan.

The full agenda is available here.

Biographical information for the Symposium speakers, panelists and hosts can be found here.

Register here for this free Symposium.

Filed Under: Antibody discovery, Antibody engineering, Uncategorized

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