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Modified heated CGMD simulations for discovering stable docked conformations of BiTE antibody against CD3 and CD117/c-kit
In cancer immunotherapy, the design and optimisation of bispecific antibodies hold great promise. Bispecific T-cell engager (BiTE) antibodies targeting CD3 and CD117/c-kit have shown significant potential in experimental settings. Nevertheless, knowledge on their stable docked conformations at molec...
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Published in: | Molecular simulation 2024-09, Vol.50 (14), p.1019-1038 |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
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Summary: | In cancer immunotherapy, the design and optimisation of bispecific antibodies hold great promise. Bispecific T-cell engager (BiTE) antibodies targeting CD3 and CD117/c-kit have shown significant potential in experimental settings. Nevertheless, knowledge on their stable docked conformations at molecular level is still limited. This study presents an approach of employing modified heated coarse-grained molecular dynamics (CGMD) simulations to elucidate the stable docked conformations of BiTE antibodies against CD3 and CD117/c-kit. We integrated molecular dynamics simulation with coarse-grained and temperature control to explore the conformational landscape of these complex interactions. The modified heated CGMD simulation aimed to re-assess the docked poses suggested by ClusPro webserver. Furthermore, the all-atomic trajectories unveiled the dynamic residues formed throughout the simulation process. The per-residue-energy-binding emphasised the crucial amino acids involved in binding within the complex especially between the complementarity-determining regions (CDR) of BiTEs and residues located at the N-terminal of CD117/c-kit and the C-terminal of CD3. The formation of three types of interactions, such as hydrogen bonds, salt-bridge contact and hydrophobic interactions plays a crucial role in the motion, configuration and the free energy landscape of the complexes. This method is a valuable tool for rational drug design especially in the field of cancer immunotherapy. |
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ISSN: | 0892-7022 1029-0435 |
DOI: | 10.1080/08927022.2024.2378833 |