结合
抗体
化学
配体(生物化学)
共轭体系
组合化学
抗体-药物偶联物
氨基酸
对接(动物)
单克隆抗体
药品
药物输送
生物化学
药理学
生物物理学
生物
免疫学
受体
有机化学
数学
聚合物
护理部
数学分析
医学
作者
Nimish Gupta,Aasif Ansari,Gaurao V. Dhoke,Maheshwerreddy Chilamari,Jwala Priyadarsini Sivaccumar,Smita Kumari,Snigdha Chatterjee,Ravinder Goyal,Pradip Kumar Dutta,Mallik Samarla,Madhumita Mukherjee,Arindam Sarkar,Swadhin K. Mandal,Vishal Rai,Goutam Biswas,Aniruddha Sengupta,Sudip Roy,Monideepa Roy,Shiladitya Sengupta
标识
DOI:10.1038/s41551-019-0470-8
摘要
Antibody-drug conjugates (ADCs) combine the high specificity of antibodies with cytotoxic payloads. However, the present strategies for the synthesis of ADCs either yield unstable or heterogeneous products or involve complex processes. Here, we report a computational approach that leverages molecular docking and molecular dynamics simulations to design ADCs that self-assemble through the non-covalent binding of the antibody to a payload that we designed to act as an affinity ligand for specific conserved amino acid residues in the antibody. This method does not require modifications to the antibody structure and yields homogenous ADCs that form in less than 8 min. We show that two conjugates, which consist of hydrophilic and hydrophobic payloads conjugated to two different antibodies, retain the structure and binding properties of the antibody and its biological specificity, are stable in plasma and improve anti-tumour efficacy in mice with non-small cell lung tumour xenografts. The relative simplicity of the approach may facilitate the production of ADCs for the targeted delivery of cytotoxic payloads.
科研通智能强力驱动
Strongly Powered by AbleSci AI