Pinto, V.d.S.; Araújo, J.S.C.; Silva, R.C.; da Costa, G.V.; Cruz, J.N.; De A. Neto, M.F.; Campos, J.M.; Santos, C.B.R.; Leite, F.H.A.; Junior, M.C.S.
In Silico Study to Identify New Antituberculosis Molecules from Natural Sources by Hierarchical Virtual Screening and Molecular Dynamics Simulations. Pharmaceuticals 2019, 12, 36.
https://doi.org/10.3390/ph12010036
AMA Style
Pinto VdS, Araújo JSC, Silva RC, da Costa GV, Cruz JN, De A. Neto MF, Campos JM, Santos CBR, Leite FHA, Junior MCS.
In Silico Study to Identify New Antituberculosis Molecules from Natural Sources by Hierarchical Virtual Screening and Molecular Dynamics Simulations. Pharmaceuticals. 2019; 12(1):36.
https://doi.org/10.3390/ph12010036
Chicago/Turabian Style
Pinto, VinÃcius de S., Janay S. C. Araújo, Rai C. Silva, Glauber V. da Costa, Jorddy N. Cruz, Moysés F. De A. Neto, JoaquÃn M. Campos, Cleydson B. R. Santos, Franco H. A. Leite, and Manoelito C. S. Junior.
2019. "In Silico Study to Identify New Antituberculosis Molecules from Natural Sources by Hierarchical Virtual Screening and Molecular Dynamics Simulations" Pharmaceuticals 12, no. 1: 36.
https://doi.org/10.3390/ph12010036
APA Style
Pinto, V. d. S., Araújo, J. S. C., Silva, R. C., da Costa, G. V., Cruz, J. N., De A. Neto, M. F., Campos, J. M., Santos, C. B. R., Leite, F. H. A., & Junior, M. C. S.
(2019). In Silico Study to Identify New Antituberculosis Molecules from Natural Sources by Hierarchical Virtual Screening and Molecular Dynamics Simulations. Pharmaceuticals, 12(1), 36.
https://doi.org/10.3390/ph12010036