주요 컨퍼런스 첫째날 - 일본 시간(GMT+09:00)
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오전 접수
기조 강연
기존 항체를 넘어 : 항체 엔지니어링과 Drug Discovery의 혁신적 전략
- 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
엔지니어링과 임상적 합리성 간의 격차 해소
항체 발견의 가속 : 완전 인간 의약의 고속 생성용 플랫폼
- 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.
엔지니어링과 임상적 합리성 간의 격차 해소
pHLA를 표적으로 하는 의약 하이스루풋(High throughput) 발견과 엔지니어링
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
오전 휴식
휴식
오전 휴식·네트워킹
엔지니어링과 임상적 합리성 간의 격차 해소
정밀 이뮤노믹스 : 리드 식별과 진단 소견에 대해 대규모 레퍼토리 분석을 활용
- 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.
엔지니어링과 임상적 합리성 간의 격차 해소
하이스루풋(High throughput) 매핑 : 발견에서 상세한 리드 특성 평가로의 전환
- 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.
디지털·차세대 프론티어 : AI와 신규 모달리티의 활용
EMLy™ : 스마트하고 신속하고 스케일러블한 AI에 의한 바이오로직스 개발의 실현
- 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
점심식사
휴식
점심식사 휴식·네트워킹
디지털·차세대 프론티어 : AI와 신규 모달리티의 활용
싱글 셀과 무세포 기술의 융합에 의한 고성능 항체의 신속하고 종합적인 생성
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
디지털·차세대 프론티어 : AI와 신규 모달리티의 활용
세포외 타겟팅의 신규 모달리티 : 분해제, PROTAC, 컨텍스트 의존 결합의 미래
- 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.
디지털·차세대 프론티어 : AI와 신규 모달리티의 활용
Chiome DoppeLib 플랫폼과 통합 Drug Discovery 파트너십에 의한 차세대 항체 Drug Discovery의 진전
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
오후 휴식
휴식
오후 휴식·네트워킹
디지털·차세대 프론티어 : AI와 신규 모달리티의 활용
암에서 이온채널 기반 다단백질 복합체를 표적으로 하는 다중특이성 항체
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
디지털·차세대 프론티어 : AI와 신규 모달리티의 활용
수백만 건의 친화성 측정에 의해 수주간 예측적 멀티파라미터 항체의 최적화가 가능하게 되는 방법
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
혁신 파워 아워
혁신 스포트라이트 : 획기적인 임상 데이터와 개발 동향 소개
- A clinical showcase of global Innovation:
- Multispecifics
- Next-gen ADCs.
- Pipeline Technical Breakthroughs
- Clinical Progress
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