ADCdb: the database of antibody–drug conjugates

Author:

Shen Liteng1234,Sun Xiuna15,Chen Zhen1,Guo Yu1ORCID,Shen Zheyuan1,Song Yi1,Xin Wenxiu2,Ding Haiying2,Ma Xinyue23,Xu Weiben24,Zhou Wanying23,Che Jinxin1,Tan Lili23,Chen Liangsheng23,Chen Siqi6,Dong Xiaowu14ORCID,Fang Luo2346,Zhu Feng15ORCID

Affiliation:

1. College of Pharmaceutical Sciences, The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University , Hangzhou  310058 , China

2. Department of Pharmacy, Zhejiang Cancer Hospital, Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences , Hangzhou  310005 , China

3. Postgraduate Training Base Alliance of Wenzhou Medical University (Zhejiang Cancer Hospital) , Hangzhou  310022 , China

4. College of Pharmaceutical Science, Zhejiang University of Technology , Hangzhou  310014 , China

5. Innovation Institute for Artificial Intelligence in Medicine of Zhejiang University, Alibaba-Zhejiang University Joint Research Center of Future Digital Healthcare , Hangzhou  330110 , China

6. School of Pharmaceutical Science, Zhejiang Chinese Medical University , Hangzhou  310053 , China

Abstract

Abstract Antibody-drug conjugates (ADCs) are a class of innovative biopharmaceutical drugs, which, via their antibody (mAb) component, deliver and release their potent warhead (a.k.a. payload) at the disease site, thereby simultaneously improving the efficacy of delivered therapy and reducing its off-target toxicity. To design ADCs of promising efficacy, it is crucial to have the critical data of pharma-information and biological activities for each ADC. However, no such database has been constructed yet. In this study, a database named ADCdb focusing on providing ADC information (especially its pharma-information and biological activities) from multiple perspectives was thus developed. Particularly, a total of 6572 ADCs (359 approved by FDA or in clinical trial pipeline, 501 in preclinical test, 819 with in-vivo testing data, 1868 with cell line/target testing data, 3025 without in-vivo/cell line/target testing data) together with their explicit pharma-information was collected and provided. Moreover, a total of 9171 literature-reported activities were discovered, which were identified from diverse clinical trial pipelines, model organisms, patient/cell-derived xenograft models, etc. Due to the significance of ADCs and their relevant data, this new database was expected to attract broad interests from diverse research fields of current biopharmaceutical drug discovery. The ADCdb is now publicly accessible at: https://idrblab.org/adcdb/.

Funder

Natural Science Foundation of China

Natural Science Fund for Distinguished Young Scholars of Zhejiang

Key R&D Program of Zhejiang Province

Publisher

Oxford University Press (OUP)

Subject

Genetics

Reference97 articles.

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