主要会議1日目 - 日本時間(GMT+09:00)
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午前の受付
基調講演
従来の抗体を超えて:抗体エンジニアリングと創薬における革新的戦略
- Switch-Ig technology designed to exploit the unique features of the tumour microenvironment
- An antibody engineering platform integrating AI and laboratory automation
- A first-in-class multispecific antibody for celiac disease targeting the gluten peptide/HLA complex
- Taichi Kuramochi - Head of Biologics Discovery, Chugai Pharmaceutical, Japan
エンジニアリングと臨床的合理性のギャップを埋める
抗体発見の加速:完全ヒト医薬の高速生成向けプラットフォーム
- Emerging systems for rapid immunization and redesign that enable the generation of clinical-grade human antibodies in under 90 days.
- Utilizing TC-mAb mice for rapid high-titre immunization and 60-day redesign cycles using CHO-based mammalian display
- Identifying antibodies against non-immunized viral variants.
エンジニアリングと臨床的合理性のギャップを埋める
pHLAを標的とする医薬のハイスループットな発見とエンジニアリング
Peptide-HLA (pHLA)-targeting therapeutics can potently and specifically target otherwise inaccessible intracellular antigens but require both high affinity and high specificity for clinical use. To address these challenges, we developed a high-throughput yeast-based platform to rapidly discover and engineer highly selective high-affinity soluble T cell receptors (TCRs)- and TCR mimetic (TCRm) antibodies, accelerating the development of potent and specific pHLA-targeting therapeutics.
- Garrett Rappazzo - Senior Scientist, Adimab LLC, USA
午前の休憩
休憩
午前の休憩・ネットワーキング
エンジニアリングと臨床的合理性のギャップを埋める
精密イムノミクス:リードの同定と診断の所見に対し、大規模レパトア解析を活用
- Utilizing high-throughput sequencing and repertoire mining to identify disorder-specific antibodies and understand vaccine-induced immune landscapes.
- Addressing the lack of non-responder/control data to improve AI/ML model training accuracy.
エンジニアリングと臨床的合理性のギャップを埋める
ハイスループットマッピング:発見から詳細なリード特性評価へ
- Utilizing advanced characterization platforms to map binding landscapes and competition early in the discovery phase.
- Determining binding competition and epitope coverage at the monoclonal level.
- Isolation of VDJ libraries from single B cells without pairing errors.
デジタル・次世代のフロンティア:AIと新興モダリティの活用
EMLy™:スマートで迅速かつスケーラブルなAIによるバイオロジクス開発の実現
- EMLy™ as a unique, fine-tuned AI platform that integrates deep learning with sequence-structure intelligence
- Leveraging EMLy™ for the discovery of next-generation therapeutics ready for successful advancement into preclinical and clinical development, through optimized binding, stability, and manufacturability across diverse therapeutic formats.
- Alfred Lim, PhD - Director of Lab Research, Etcembly Ltd., UK
昼食
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昼食休憩・ネットワーキング
デジタル・次世代のフロンティア:AIと新興モダリティの活用
シングルセルと無細胞技術の融合による、高性能抗体の迅速かつ包括的な生成
Monoclonal antibodies have become indispensable in today's society, operating in diverse fields including treatment and diagnosis. While classical methods such as mice hybridoma and phage display often provide sufficient performance against easily identifiable target antigens, there is a growing demand for high-performance monoclonal antibodies with higher affinity and specificity. We have established an antibody generation technology employing single-cell and cell-free antibody expression methods, successfully generating high-performance antibodies against various targets from human and immunized animal samples.
In this technology, single memory B cells specific to the target antigen are selected by cell sorter, and the monoclonal antibody gene is obtained by single-cell RT-PCR. The obtained antibody gene is used as a template for cell-free coupled transcription/translation reactions without being incorporated into a plasmid. Two patented technologies-the SKIK tag, which increases expression levels, and the LZ tag, which enhances binding ability by promoting H- and L-chain association-enable efficient in vitro production of Fab proteins.
To date, we have administered antigens to rabbits, which are known to produce antibodies with high affinity and specificity in their bodies, and used our technology to create antibodies specific to various challenging antigens from the lymphocytes of immune individuals. For example, our cAMP-specific antibody has the specificity to strictly distinguish between cGMP and ATP and cAMP. As antibodies that can distinguish even slight amino acid sequences, we have created antibodies specific to activated GIP, one of the incretins, and antibodies specific to antibody drugs (anti-idiotype antibodies), which are actually being used as diagnostic reagents and pharmacokinetic analysis tools.
Furthermore, in obtaining antibodies that actually function within the human body, we identify broad-spectrum neutralizing antibodies from samples provided by individuals with a history of infection with pathogenic viruses, including COVID-19, and identify cancer-specific antibodies from antibody-producing cells infiltrating solid tumors.
- Shoji Ohuchi, Ph.D., MBA - Co-CEO, CSO and CTO, iBody Inc., Japan
デジタル・次世代のフロンティア:AIと新興モダリティの活用
細胞外ターゲティングにおける新興モダリティ:分解剤、PROTAC、コンテキスト依存の結合の未来
- Advancements in molecules that actively degrade targets or utilize environmental triggers (metabolites, pH) to localize activity in diseased tissue.
- Utilizing antibody-lectin chimeras (e.g. AbLex) to target the sugar coating on cancer cells and expose them to the immune system.
- Accessing GPCRs and complex intracellular targets through extended nanobodies.
デジタル・次世代のフロンティア:AIと新興モダリティの活用
ChiomeのDoppeLibプラットフォームと統合創薬パートナーシップによる、次世代の抗体創薬の進展
Chiome Bioscience has developed DoppeLib, a recently established bispecific antibody platform for the discovery and engineering of next-generation antibody therapeutics. Building on its experience in antibody generation, functional screening, and affinity maturation, Chiome continues to expand its antibody discovery capabilities. This presentation will focus on how DoppeLib can address key challenges in bispecific antibody discovery, including antibody-arm pairing, molecular design, functional screening, and downstream optimization.
DoppeLib is designed to enable systematic generation, screening, and optimization of bispecific antibody candidates by leveraging the DT40 cell-based platform that Chiome has developed and refined over the years. By supporting flexible antibody pairing and molecular design, the platform may expand opportunities to create differentiated therapeutic antibodies beyond conventional bispecific approaches. Representative use cases will include biparatopic antibody concepts with a particular focus on functional activity.
The presentation will also briefly discuss how DoppeLib can be integrated with Chiome’s broader antibody generation, functional screening, affinity maturation, and Integrated Drug Discovery capabilities to support the progression from early screening to candidate selection.
- Kiyotoshi Mori - Head of Research Division, Chiome Bioscience Inc., Japan
午後の休憩
休憩
午後の休憩・ネットワーキング
デジタル・次世代のフロンティア:AIと新興モダリティの活用
がんにおけるイオンチャネルベースの多タンパク質複合体を標的とする多重特異性抗体
Ion channels represent pivotal devices capable to modulate different cancer hallmarks. Among ion channels which are relevant in cancer, the “human ether à-go-go-related gene” potassium channel hERG1 has been deeply studied by our group (Arcangeli A et al., Expert Opin Ther Targets. 2024. doi: 10.1080/14728222.2024.2318449).
Based on our studies, our group has developed and patented (WO2019/015936) a single chain diabody that targets and harnesses the hERG1/β1 integrin (HB) complex which is selectively expressed in several types of cancers: scDb-HB.
Based on this backbone, we have developed novel multispecific antibodies targeting e.g. the receptors for the Tumor Necrosis Factor-Related Apoptosis-Inducing Ligand (TRAIL) or voltage dependent sodium channels, like the naV 1.5.
The efficacy of such novel multispecific antibodies for treatment of Triple Negative Breast Cancer (TNBCa) has benn proven both in vitro and in vivo, in preclinical mouse models.
- Annarosa Arcangeli - Full Professor, University of Florence, Italy
デジタル・次世代のフロンティア:AIと新興モダリティの活用
数百万件の親和性測定による、数週間で予測的な多パラメーター抗体の最適化が可能になる方法
Traditional antibody optimization pipelines optimize affinity and developability in iterative workflows that are inherently slow, recursive, and unpredictable. We combine large-scale, quantitative affinity measurements with a fine-tuned optimization model to accurately predict >20 mutations in a parental antibody. This integrated wet-lab/dry-lab platform enables simultaneous optimization of affinity, specificity, cross-reactivity, and developability, delivering optimized therapeutic leads in less than 8 weeks.
- Troy Lionberger, PhD - Chief Business Officer, A-Alpha Bio, USA
イノベーションパワーアワー
イノベーションスポットライト:画期的な臨床データと開発動向の紹介
- A clinical showcase of global Innovation:
- Multispecifics
- Next-gen ADCs.
- Pipeline Technical Breakthroughs
- Clinical Progress
1日目の終了
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主要会議1日目の終了
* 不測の事態により、事前の予告なしにプログラムが変更される場合があります。
