日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Antitubercular Triazines: Optimization and Intrabacterial Metabolism

抗结核三嗪:优化和细菌内代谢

Xin Wang, Daigo Inoyama, Riccardo Russo, Shao-Gang Li, Ravindra Jadhav, Thomas P Stratton, Nisha Mittal, Joseph A Bilotta, Eric Singleton, Thomas Kim, Steve D Paget, Richard S Pottorf, Yong-Mo Ahn, Alejandro Davila-Pagan, Srinivasan Kandasamy, Courtney Grady, Seema Hussain, Patricia Soteropoulos, Ma

Addressing the Metabolic Stability of Antituberculars through Machine Learning

通过机器学习解决抗结核药物的代谢稳定性问题

Thomas P Stratton, Alexander L Perryman, Catherine Vilchèze, Riccardo Russo, Shao-Gang Li, Jimmy S Patel, Eric Singleton, Sean Ekins, Nancy Connell, William R Jacobs Jr, Joel S Freundlich

Open drug discovery for the Zika virus

寨卡病毒的开放药物研发

Sean Ekins, Daniel Mietchen, Megan Coffee, Thomas P Stratton, Joel S Freundlich, Lucio Freitas-Junior, Eugene Muratov, Jair Siqueira-Neto, Antony J Williams, Carolina Andrade0

Combining Metabolite-Based Pharmacophores with Bayesian Machine Learning Models for Mycobacterium tuberculosis Drug Discovery

将基于代谢物的药效团与贝叶斯机器学习模型相结合,用于结核分枝杆菌药物研发

Sean Ekins, Peter B Madrid, Malabika Sarker, Shao-Gang Li, Nisha Mittal, Pradeep Kumar, Xin Wang, Thomas P Stratton, Matthew Zimmerman, Carolyn Talcott, Pauline Bourbon, Mike Travers, Maneesh Yadav, Joel S Freundlich