Author:
Varela-Salinas Génesis,García-Pérez Carlos Armando,Peláez Rafael,Rodríguez Adolfo J.
Publisher
Springer International Publishing
Reference21 articles.
1. Li, H., Leung, K.-S., Wong, M.-H., Ballester, P.J.: Improving autodock vina using random forest: the growing accuracy of binding affinity prediction by the effective exploitation of larger data sets. Mol. Inform. 34, 115–126 (2015)
2. Shi, J., Tu, W., Luo, M., Huang, C.: Molecular docking and molecular dynamics simulation approaches for identifying new lead compounds as potential AChE inhibitors. Mol. Simul. 43, 102–109 (2017)
3. Morris, G.M., Huey, R., Lindstrom, W., Sanner, M.F., Bele, R.K., Goodsell, D., Olson, A.J.: AutoDock version 4.2. J. Comput. Chem. 30, 2785–2791 (2009)
4. Trott, O., Olson, A.J.: AutoDock Vina: improving the speed and accuracy of docking with a new scoring function, efficient optimization, and multithreading. J. Comput. Chem. 31, 455–461 (2009)
5. Verdonk, M.L., Cole, J.C., Hartshorn, M.J., Murray, C.W., Taylor, R.D.: Improved protein-ligand docking using GOLD. Proteins: Struct. Funct. Bioinf. 52, 609–623 (2003)
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