APA (7th ed.) Citation

Zhu, S., Yang, S., Chen, Y., Niu, M., Wang, J., Li, J., & Pu, X. Identification of a novel and high affinity MIF inhibitor via structure-based pharmacophore modelling, molecular docking, molecular dynamics simulations, and biological evaluation. Taylor & Francis Group.

Chicago Style (17th ed.) Citation

Zhu, Shang, Shudan Yang, Yao Chen, Miao-Miao Niu, Jun Wang, Jindong Li, and Xuehua Pu. Identification of a Novel and High Affinity MIF Inhibitor via Structure-based Pharmacophore Modelling, Molecular Docking, Molecular Dynamics Simulations, and Biological Evaluation. Taylor & Francis Group.

MLA (9th ed.) Citation

Zhu, Shang, et al. Identification of a Novel and High Affinity MIF Inhibitor via Structure-based Pharmacophore Modelling, Molecular Docking, Molecular Dynamics Simulations, and Biological Evaluation. Taylor & Francis Group.