AI-based Antibody Therapeutics Developability Assessment and Its Engineering

Monoclonal antibodies (mAbs) have become essential in treating a wide spectrum of diseases, with over 100 therapeutic antibody products now approved and commercially available. Although mAbs represent the fastest-growing sector in therapeutics, their development is complex, with developability being a crucial consideration. Developability evaluates the potential of an antibody candidate to be produced as a safe and effective drug.

In the context of Contract Research and Manufacturing Organizations (CRMOs), the developability assessment focuses on ensuring that an antibody candidate can progress through the chemistry, manufacturing, and control (CMC) processes efficiently, affordably, and within an acceptable timeframe. It’s important to examine and refine the properties related to developability early on, ideally during the discovery phase, to reduce the chances of advancing an antibody with limited developability to the CMC stage. Artificial intelligence is transforming bioinformatics research and its applications, particularly in protein and antibody analysis. AI methods are now being employed to improve the developability screening and optimization of antibody candidates.

In this webinar, we are excited to present our Immunoinformatics Comprehensive Service Platform, which leverages AI for the developability assessment of antibody therapeutics. This covers assessments of immunogenicity, viscosity, aggregation, degradation, and post-translational modifications (PTMs). We will also cover our antibody engineering services, including humanization, caninization, felinization, and optimizing expression. Case studies will be presented to demonstrate our capabilities in assessing developability and performing antibody engineering. The webinar will end with a Q&A session, allowing participants to delve into any specific areas of interest regarding AI in antibody development.

Join us to learn how our AI-based platform can facilitate the development process for antibody therapeutics, ensuring candidates are not only therapeutically effective but also viable for large-scale production and clinical use.

이 웨비나에서는 항체 치료제의 개발 가능성 평가를 위한 AI 기반 면역정보학 종합 서비스 플랫폼을 소개합니다. 이 플랫폼은 면역원성, 점도, 응집, 분해, 번역 후 변형(PTMs) 평가를 포함합니다. 또한 항체 인간화, 개화, 고양이화, 발현 최적화를 포함한 항체 엔지니어링 서비스도 제공합니다. 사례 연구를 통해 개발 가능성 평가와 항체 엔지니어링 능력을 시연할 예정입니다. 웨비나는 Q&A 세션으로 마무리되어, 항체 개발에 있어 AI의 특정 분야에 대한 참가자들의 질문에 답변할 기회를 제공합니다.

이 웨비나에 참여하여 AI 기반 플랫폼이 어떻게 항체 치료제 개발 과정을 촉진하고, 후보 물질이 치료적으로 효과적일 뿐만 아니라 대규모 생산 및 임상 사용에도 적합하게 만들 수 있는지 알아보세요.

Importance and Challenges of Developability in Antibody Therapeutics

Importance and Challenges of Developability in Antibody Therapeutics

Role of AI in Transforming Developability Assessment

GenScript’s Solutions for Antibody Developability Assessment and Engineering

In this webinar, learn more on

Webinar Details

  • Date: February 27th 2025
  • Time: 15:00PM KST (GMP +9)
  • Speaker:
Dr. Carter Hao Dr. Carter Hao

Senior Bioinformatics Scientist
Bioinformatics Core of Excellence Department

Carter Hao 박사는 Zhejiang 대학교에서 Control Science and Egineering 박사 학위를 받았습니다. 현재 진스크립트에서 바이오인포매틱스 시니어 과학자로 재직 중이며, 항체 관련 응용 연구 및 개발을 주로 담당하고 있습니다. 그의 연구 관심 분야는 단백질 구조 예측, 항체 개발 가능성 예측(점도, 면역원성, 응집, 안정성 등), 항체 결합 친화력 성숙, 항체 인간화, canonization, felinization 및 진화 계산을 포함합니다. 그는 유럽 제약 과학 저널(European Journal of Pharmaceutical Sciences), IEEE TCBB, 정보 과학(Information Science) 등 국제 저널에 20편 이상의 논문을 발표했습니다.

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