APA Zitierstil

Minovski, N., Perdih, A., Novic, M., & Solmajer, T. (2013). Cluster-based molecular docking study for in silico identification of novel 6-fluoroquinolones as potential inhibitors against Mycobacterium tuberculosis. Journal of computational chemistry, 34(9), 790. https://doi.org/10.1002/jcc.23205

Chicago Zitierstil

Minovski, Nikola, Andrej Perdih, Marjana Novic, und Tom Solmajer. "Cluster-based Molecular Docking Study for in Silico Identification of Novel 6-fluoroquinolones as Potential Inhibitors Against Mycobacterium Tuberculosis." Journal of Computational Chemistry 34, no. 9 (2013): 790. https://dx.doi.org/10.1002/jcc.23205.

MLA Zitierstil

Minovski, Nikola, et al. "Cluster-based Molecular Docking Study for in Silico Identification of Novel 6-fluoroquinolones as Potential Inhibitors Against Mycobacterium Tuberculosis." Journal of Computational Chemistry, vol. 34, no. 9, 2013, p. 790.