Antibody Forum - Part 1


( 抗體論壇 - 第一部分 )

Discovery on Target’s Antibody Forum offers R&D research scientists the opportunity to participate in a unique meeting format that encourages discussion and the exchange of best practices on the application of new science and technology for the discovery and development of novel biotherapeutics. The meeting will feature short presentations, panel discussions, facilitated roundtables and an audience layout that allows a sharing of ideas and experiences. Part 1 will focus on the discovery stage, offering ideas on how to accelerate and optimize these steps, emerging discovery technologies and the integration of artificial intelligence and machine learning.

Final Agenda


1:00 pm Pre-Conference Short Course Registration
Click here for details on short courses offered.


7:00 am Registration Open and Morning Coffee

Optimizing The Discovery Workflow

8:00 Organizer's Welcome Remarks

8:05 Chairperson’s Opening Remarks

Jane Seagal, PhD, Principal Research Scientist, Biologics Generation, AbbVie Bioresearch Center

8:10 KEYNOTE PRESENTATION: Antibody Discovery at the Intersection of Immunology and Oncology

Andrew Nixon, PhD, Vice President, Biotherapeutics Molecule Discovery, Boehringer Ingelheim

8:40 Functional Interrogation of Antibody Repertoire at Single Cell Level

Yuxing Cheng, PhD, Principal Scientist, Antibody Discovery, Pfizer, Inc.

Recent advances in microfluidic technology allow massively parallelized analysis of B cell repertoire at single cell level. Here we are presenting a novel microfluidic platform based on Opto-electroposition technology that enables single cell manipulation in a microfluidic environment with semi-automated workflow and functional interrogation of the antibody repertoire from immunized animals with cell-based binding and functional assays.

9:10 Integrated Antibody Discovery Platforms

Jane Seagal, PhD, Principal Research Scientist, Biologics Generation, AbbVie Bioresearch Center

The constantly growing demand for novel therapeutic biologics drives technology innovation enabling efficient antibody discovery. Optimization and ‘digitalization’ of antibody discovery workflows is essential for successful identification of antibodies against challenging targets and the sampling diverse antibody repertoires. In this talk, integrated platforms for discovery of antibodies from yeast display, hybridoma and single B cell technologies are presented highlighting the integration of sequence information, screening data, and informatics for large panels of antibodies.

9:40 Grand Opening Coffee Break in the Exhibit Hall with Poster Viewing

Discovery Workflow Case Studies

10:25 Integrating Yeast Display with Transgenic Mouse Immunization for Human VH Domain Lead Generation

Irwin Chen, PhD, Principal Scientist, Biologic Discovery, Amgen

Autonomous human VH-only domains (VHOs) promise to simplify the construction of multi-specific molecules and potentially bind epitopes that are difficult to access with conventional antibodies. To discover VHO leads, we employed a workflow combining transgenic Harbour mouse immunization and yeast surface display to isolate binders against diverse targets. I will present on challenges encountered in VHO lead identification and developability assessment, and strategies to overcome some of the obstacles.

10:55 Leveraging Computational Approaches in Antibody Workflows: Discovery, Design and Engineering

Luke Robinson, PhD, Director, Research, Visterra

A variety of computational biology approaches have matured over recent years, positioning them to substantially aid the therapeutic antibody discovery and engineering process. How can we productively leverage these computational approaches, in combination with existing high-throughput experimental techniques, to improve therapeutic antibody discovery and engineering? I will present examples of using computational tools of structural modeling, bioinformatics and machine learning to applications of Fc engineering, antibody-antigen docking and de novo antibody design.

11:25 High-Throughput Production of Antibodies Using Yeast and Mammalian Cells

Rebecca Hurley Niles, PhD, Senior Scientist, High Throughput Expression, Adimab

High-throughput, small-scale production of antibodies is an essential part of a discovery workflow. After isolation from a large yeast-based antibody library, Adimab directly expresses large panels of full-length IgGs in 96-well and 24-well format. Protein purification is accomplished in a plate-based format using liquid handling platforms. The same semi-automated process is also compatible with IgGs expressed in mammalian hosts. Process setup, attributes, and output will be reviewed.

11:55 Presentation to be Announced

12:25 pm Session Break

12:35 Luncheon Presentation to be Announced

1:15 Refreshment Break in the Exhibit Hall with Poster Viewing

1:50 Chairperson’s Remarks

Andrew Bradbury, PhD, MB BS (MD), CSO, Specifica, Inc.

Panel Discussion

1:55 Emerging Discovery Technologies

Moderator: Andrew Bradbury, PhD, MB BS (MD), CSO, Specifica, Inc.

Panelists: Irwin Chen, PhD, Principal Scientist, Biologic Discovery, Amgen

Enkelejda Miho, PhD, Professor, Digital Life Sciences, FHNW University of Applied Sciences and Arts Northwestern Switzerland, Switzerland

Andrew Nixon, PhD, Vice President, Biotherapeutics Molecule Discovery, Boehringer Ingelheim

Jane Seagal, PhD, Senior Scientist, Biologics Generation Group, AbbVie Bioresearch Center

Please join us for this informative and useful discussion of new and emerging tools and technologies used to help early stage researchers discover new and novel therapeutic antibodies. Our panel will share updates and best practices on NGS, single b-cell cloning, artificial intelligence, computational modeling and more. Come prepared to share your own experiences and ask questions (even basic ones) about this rapidly-changing field.

2:55 Sponsored Presentation (Opportunity Available)

3:25 Refreshment Break in the Exhibit Hall with Poster Viewing and Poster Competition Winner Announced

Machine Learning And AI For Antibody And Protein Engineering

4:05 Designing Smart Nanobodies and Antibodies Using Neural-Networked Powered Alignment-Free Models

Deborah S. Marks, PhD, Associate Professor, Systems Biology, Harvard Medical School

Antibodies and nanobodies are highly valued molecular tools, used in research for isolating and imaging specific proteins, and in medical applications as therapeutics. However, for a large number of human and model-organism proteins, existing antibodies are non-existent or unreliable. Emerging experimental techniques enable orders-of-magnitude improvement in the number of sequences assayed for target affinity but are notoriously non-specific and not always well-folded. We have explored the use of generative deep probabilistic models for this design challenge.

4:35 Transitioning from Traditional Computational Modeling to Machine Learning and AI

Enkelejda Miho, PhD, Professor, Digital Life Sciences, FHNW University of Applied Sciences and Arts Northwestern Switzerland, Switzerland

The advent of large-scale data was followed by the consequential shift from one-at-a-time considerations to systems computational investigations. As a result, statistical analysis focused on the quantification of systems patterns. However, machine learning and deep learning have fast-forwarded analysis from the systems-level initial insights to application-driven results. We investigate the applicability of neural networks in longitudinal antibody sequences of personal immune repertoires and compare systems insights versus deep learning predictions.

5:05 Interactive Breakout Discussion Groups

Join a breakout discussion group. These are informal, moderated discussions with brainstorming and interactive problem solving, allowing participants from diverse backgrounds to exchange ideas and experiences and develop future collaborations around a focused topic. Visit the conference website for discussion topics and moderators.

6:05 Welcome Reception in the Exhibit Hall with Poster Viewing (Sponsorship Opportunity Available)

7:10 Close of Day


7:30 am Registration Open and Morning Coffee

High-Throughput Functional Screening

8:00 Chairperson’s Remarks

Enkelejda Miho, PhD, Professor, Digital Life Sciences, FHNW University of Applied Sciences and Arts Northwestern Switzerland, Switzerland

8:05 Simultaneous Pharmacokinetic Measurements of More than 100 Individual Binding Proteins by NestLink

Pascal Egloff, PhD, Platform Leader, University of Zurich, Switzerland

NestLink enables characterization of thousands of individual binding proteins at once. The technology was previously applied in vitro for the efficient identification high-affinity binders against integral membrane proteins in the cellular context. In this talk, I will show that NestLink can be applied in vivo as well, such as to simultaneously determine pharmacokinetic parameters of more than one hundred individual multi-specific binding proteins in a single model organism.

8:35 Data Mining in Discovery Research – Learning from the Past

Jonas Lee, PhD, Scientist, Biologics, Amgen

Machine learning is becoming an integral part of therapeutic development. Although lot of efforts are focused on developing new technologies and data systems to capture new data, data mining and learning from past data is somewhat neglected. We mine, procure, and analyze ~25,000 antibody modality production (cloning, expression, purification) results from a past LIMS to develop a statistical model to plan production of different antibody modalities for discovery research.

9:05 Immunizing Divergent Species as a MAb Discovery Strategy for Difficult Targets

Ross Chambers, PhD, Vice President of Antibody Discovery, Integral Molecular

The FDA’s recent approval of a llama nanobody reflects increasing acceptance of nonrodent species for therapeutic antibody discovery. Using our MPS Antibody Discovery platform, we immunize chickens to produce antibodies against complex targets with an unprecedented success rate. Our antibody panels cover diverse epitopes, even for highly conserved proteins; react to human and rodent orthologs, avoiding the need for surrogate antibodies; and include rare functional and state-specific antibodies, enabling development of novel therapeutics.

9:35 Coffee Break in the Exhibit Hall with Poster Viewing

Panel Discussion

10:20 Membrane Protein Tools and Technologies – What Is Working and What Isn’t?

Moderator: Kevin Heyries, PhD, Co-Founder, AbCellera, Canada

Panelists: John Blankenship, PhD, Senior Investigator and Group Leader, Antibody Discovery, Novartis

Brian Booth, PhD, Senior Scientist, Drug Discovery, Visterra

Benjamin Doranz, PhD, MBA, President and CEO, Integral Molecular

Heike Wulff, PhD, Associate Professor, Pharmacology, School of Medicine, University of California, Davis

The challenging nature of membrane proteins has often dictated that researchers employ a toolbox approach to this work, cycling through a wide range of methods and technologies to find the best fit for a specific project. Join this panel – shared between the Antibodies Against Membrane Targets and Antibody Forum audiences – for an interactive discussion of experiences with different discovery tools used in this space. You’ll hear perspectives from both panelists and other audience members and have the opportunity to share your own questions and best practices.

11:20 Enjoy Lunch on Your Own

11:20 Conference Registration for Programs 1B-7B

Click here for full abstracts.

12:20 pm Event Chairperson’s Opening Remarks

An-Dinh Nguyen, Team Lead, Discovery on Target 2019, Cambridge Healthtech Institute


12:30 Plenary Keynote Introduction

12:40 Base Editing: Chemistry on a Target Nucleotide in the Genome of Living Cells

David R. Liu, PhD, Howard Hughes Medical Institute Investigator, Professor of Chemistry & Chemical Biology, Harvard University



1:20 PROTACs: Past, Present, and Future

Craig M. Crews, PhD, Professor, Chemistry; Pharmacology; Molecular, Cellular & Developmental Biology; Yale University



2:00 Close of Plenary Keynote Program

2:00 Dessert Break in the Exhibit Hall with Poster Viewing

2:45 Close of Antibody Forum – Part 1 Conference
Please click here to continue to the agenda for Antibody Forum – Part 2: Engineering and Development

* 活動內容有可能不事先告知作更動及調整。

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