쇼트코스
쇼트코스에서는 지도적이고, 인터랙티브하며, 특정 토픽에 관한 상세한 정보를 제공합니다. 참가자와 강사가 1 대 1로 상호작용할 수 있으므로 메인 프레젠테이션에서는 다루지 못하는 보다 기술적인 측면을 쉽게 설명할 수 있습니다.
쇼트코스는 대면으로만 제공
Sunday, May 11, 2025 2:00 - 5:00 pm
SC1: In silico and Machine Learning Tools for Antibody Design and Developability Predictions
Topics to be covered include:
- Overview of sequence, structure-guided, ML (machine learning) tools for developability and designs
- Overview and demo of various ML tools from Oxford Protein Informatics Group (OPIG)
- Antibody specific language models (Ablang - Olsen et al 2022, Ablang2 - Olsen et al 2024)
- Antibody (and nanobody) structure prediction (ABodyBuilder2) Abanades et al 2023)
- Therapeutic antibody profiling and developability evaluation (TAP - Raybould et al 2019, TAP2 - Raybould et al 2024)
- Antibody sequence optimization with inverse folding (AntiFold - Hummer et al 2023)
- In silico developability assessment - case studies
INSTRUCTOR BIOGRAPHIES:
Mehdi Boroumand, PhD, Associate Principal Data Scientist, Machine Learning, AstraZeneca
Henriette Capel, PhD Student, University of Oxford
Vinodh B. Kurella, PhD, Biotherapeutic Computational Modeler, Takeda Pharmaceuticals, Inc.
Robert Vernon, PhD, Associate Director, Amgen
SC2: Safety & Efficacy of Bispecifics and ADCs
The short course will discuss:
- Bispecific and ADC landscape assessment and unmet medical needs
- Efficacy and safety challenges originating from poorly constructed ADCs
- Five rights of the targets, effector arms, and constructs for attaining the best therapeutic index for bispecifics and ADCs
- Minimizing toxicities of bispecifics and ADCs
- Translational aspects of bispecific and ADC development
INSTRUCTOR BIOGRAPHIES:
Rakesh Dixit, PhD, DABT, President & Founder, Bionavigen Oncology, LLC and Regio Biosciences
SC3: Challenges and Opportunities in Solid Tumor and Autoimmune Disease Therapeutic Innovations
- Identify and develop next-generation immunotherapies for solid tumors and autoimmune diseases
- Analyze the solid tumor microenvironment, discussing successful therapies such as T cell engagers, blocking bispecific antibodies, ADCs, CAR-Ts, Radio ligand therapy and Targeted Protein degraders
- Examines autoimmune disease biology and therapeutic development, integrating approaches like immune target blockade and autoantigen tolerizing.
- Highlights the application of machine learning and generative AI in discovering novel therapeutic targets and expediting therapeutic development.
- Addresses the challenges and provides case examples of cutting-edge therapeutic approaches in both cancer and autoimmune diseases
INSTRUCTOR BIOGRAPHIES:
Tony R. Arulanandam, DVM, PhD, CEO and Founder, Synaptimmune Therapeutics
Tuesday, May 13, 2025 6:30 - 9:00 pm
SC4: Best Practices for Targeting GCPRs, Ion Channels, and Transporters with Monoclonal Antibodies
INSTRUCTOR BIOGRAPHIES:
Ross Chambers, PhD, Vice President, Antibody Discovery, Integral Molecular, Inc.
SC5: Targeting the Target: Aligning Target and Biologic Format Biology to Achieve Desired Outcomes
Topics to be covered
- Introduction to the “components of success paradigm”
- Underlying concepts and examples of one target, multiple functions/outcomes
- How emerging technologies are and could impact
- o Understanding target biology, lead selection and discovery/development paradigm
- o Target space for bispecifics, ADCs and other therapeutic formats/concepts
- Case studies: (i) evaluating functional impact of different mAbs to the same target (target/mAb biology): (ii) designing biologic molecules to develop functional assays to assess novel/emerging target biology and potentially develop novel therapeutics
INSTRUCTOR BIOGRAPHIES:
Tariq Ghayur, PhD, Tariq Ghayur Consulting, LLC; Entrepreneur in Residence, FairJourney Biologics
SC6: Developability of Bispecific Antibodies
Topics to be covered
- Introduction to bispecifics and bispecific formats
- Therapeutic applications of bispecific antibodies
- Developability of bispecifics
- Case study: discovery and development of an FDA-approved bispecific antibody
INSTRUCTOR BIOGRAPHIES:
Nimish Gera, PhD, Vice President, Biologics, Mythic Therapeutics
SC7: Nuts and Bolts of Building a Radiopharmaceutical Therapy Agent
INSTRUCTOR BIOGRAPHIES:
Diane S. Abou, PhD, Principal Radiochemist, Assistant Professor, Mallinckrodt Institute of Radiology, Washington University School of Medicine in St. Louis
* 주최측 사정에 따라 사전 예고없이 프로그램이 변경될 수 있습니다.
2025년 프로그램
표시하기:

공학 스트림
- Display of Biologics
바이오로직스의 디스플레이 - Engineering Antibodies
항체 공학 - Machine Learning for Protein Engineering
단백질 엔지니어링용 기계학습

종양 스트림
- Antibodies for Cancer Therapy
암치료용 항체 - Emerging Targets for Oncology & Beyond
종양 이외 신규 타깃 - Driving Clinical Success in Antibody-Drug Conjugates
항체약물접합체(ADC)의 임상적 성공의 추진

다중특이성 스트림
- TS: Intro to Multispecific Antibodies
트레이닝 세미나 : 다중특이성항체 입문 - Advancing Multispecific Antibodies
다중특이성항체의 진보 - Engineering Bispecific and Multifunctional Antibodies
이중특이성항체·다기능 항체 공학

면역치료 스트림
- Advances in Immunotherapy
면역치료의 진보 - Engineering Cell Therapies
세포치료 공학 - Next-Generation Immunotherapies
차세대 면역치료

발현 스트림
- Difficult-to-Express Proteins
발현이 어려운 단백질 - Optimizing Protein Expression
단백질 발현의 최적화 - Maximizing Protein Production Workflows
단백질 생산 워크플로우의 최대화

분석법 스트림
- ML and Digital Integration in Biotherapeutic Analytics
바이오의약품 분석에서 ML과 디지털 통합 - Biophysical Methods
생물물리학적 방법 - Characterization for Novel Biotherapeutics
신규 바이오의약품의 특성 평가

면역원성 스트림
- TS: Intro to Immunogenicity
트레이닝 세미나 : 면역원성 입문 - Predicting Immunogenicity with AI/ML Tools
AI/ML 툴에 의한 면역원성 예측 - TS: Bioassay Development and Analysis
트레이닝 세미나 : 바이오어세이 개발과 분석

신규 치료 스트림
- Biologics for Immunology Indications
적응 면역용 바이오로직스 - Radiopharmaceutical Therapies
방사성 의약품 치료 - Next-Generation Immunotherapies
차세대 면역치료

기계학습 스트림
- ML and Digital Integration in Biotherapeutic Analytics
바이오의약품 분석에서 ML과 디지털 통합 - Predicting Immunogenicity with AI/ML Tools
AI/ML 툴에 의한 면역원성 예측 - Machine Learning for Protein Engineering
단백질 엔지니어링용 기계학습














