主要会议第1天 - 日本时间(GMT+09:00)
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上午报到
主题演讲
超越传统抗体:抗体工程与药物发现中的创新策略
- 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
弥合工程与临床合理性之间的鸿沟
加速抗体发现:高速生成全人类治疗药物的平台
- 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.
弥合工程与临床合理性之间的鸿沟
标靶pHLA药物的高通量发现与工程
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
上午休息
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上午休息及交流
弥合工程与临床合理性之间的鸿沟
精准免疫组学:利用大规模抗体库分析进行先导化合物辨识与诊断洞察
- 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.
弥合工程与临床合理性之间的鸿沟
高通量测绘:从发现转向深度先导化合物特性分析
- 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.
数位与次世代前沿:运用人工智慧与新兴模式
EMLy™:实现智慧、快速且可扩展的人工智慧生物制剂开发
- 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
午餐
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午餐休息及交流
数位与次世代前沿:运用人工智慧与新兴模式
结合单细胞与无细胞技术,快速且全面地产生高性能抗体
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
数位与次世代前沿:运用人工智慧与新兴模式
细胞外定向的新兴模式:降解剂、PROTACs与情境依赖结合的未来
- 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.
数位与次世代前沿:运用人工智慧与新兴模式
透过 Chiome 的 DoppeLib 平台及整合药物发现伙伴关系,推动次世代抗体药物发现
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
下午休息
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下午休息及交流
数位与次世代前沿:运用人工智慧与新兴模式
靶向癌症中基于离子通道的多蛋白复合物的多特异性抗体
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
数位与次世代前沿:运用人工智慧与新兴模式
如何利用数百万次亲和力测量,在数周内实现预测性多参数抗体优化
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
创新力量时光
创新焦点:介绍突破性的临床数据与开发趋势
- A clinical showcase of global Innovation:
- Multispecifics
- Next-gen ADCs.
- Pipeline Technical Breakthroughs
- Clinical Progress
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主要会议第1天结束
* 活动内容有可能不事先告知作更动及调整。
