TY - GEN
T1 - Integrative Drug Discovery Platform
T2 - 2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023
AU - Li, Tianci
AU - Xie, Lulu
AU - Zhang, Zhonghai
AU - Li, Xu
AU - Duan, Bo
AU - Niu, Gang
AU - Sun, Shiwei
AU - Zhang, Fa
AU - Zhang, Runting
AU - Tan, Guangming
AU - Zhang, Chunming
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - This paper presents a drug development platform based on virtual screening technology. The platform integrates key components such as pocket prediction, molecular docking, molecular dynamics simulation, and ADMET evaluation to achieve an efficient and automated drug virtual screening process. The platform utilizes Docker for modular encapsulation, ensuring environment isolation and convenient deployment. It also provides standardized input-output formats and a task allocation system, enabling users to quickly deploy and customize the workflow. Experimental results demonstrate the effectiveness of the platform in identifying real drugs and evaluating virtual screening results, providing an efficient and reliable solution for drug development. The platform features easy deployment and migration, independent module execution, automated workflow implementation, personalized customization and replacement, task allocation for computationally intensive steps, and complex operations in molecular dynamics simulation.
AB - This paper presents a drug development platform based on virtual screening technology. The platform integrates key components such as pocket prediction, molecular docking, molecular dynamics simulation, and ADMET evaluation to achieve an efficient and automated drug virtual screening process. The platform utilizes Docker for modular encapsulation, ensuring environment isolation and convenient deployment. It also provides standardized input-output formats and a task allocation system, enabling users to quickly deploy and customize the workflow. Experimental results demonstrate the effectiveness of the platform in identifying real drugs and evaluating virtual screening results, providing an efficient and reliable solution for drug development. The platform features easy deployment and migration, independent module execution, automated workflow implementation, personalized customization and replacement, task allocation for computationally intensive steps, and complex operations in molecular dynamics simulation.
KW - Automated workflow implementation
KW - CADD
KW - Docker encapsulation
KW - Drug development platform
KW - Virtual screening technology
UR - http://www.scopus.com/inward/record.url?scp=85184857879&partnerID=8YFLogxK
U2 - 10.1109/BIBM58861.2023.10385402
DO - 10.1109/BIBM58861.2023.10385402
M3 - Conference contribution
AN - SCOPUS:85184857879
T3 - Proceedings - 2023 2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023
SP - 365
EP - 372
BT - Proceedings - 2023 2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023
A2 - Jiang, Xingpeng
A2 - Wang, Haiying
A2 - Alhajj, Reda
A2 - Hu, Xiaohua
A2 - Engel, Felix
A2 - Mahmud, Mufti
A2 - Pisanti, Nadia
A2 - Cui, Xuefeng
A2 - Song, Hong
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 5 December 2023 through 8 December 2023
ER -