###################################################################
# If you used Vina-GPU in your work, please cite:                 #
#                                                                 #
# Tang, S.; Chen, R.; Lin, M.; Lin, Q.; Zhu, Y.; Ding, J.; Hu, H.;#
# Ling, M.; Wu, J. Accelerating AutoDock Vina with GPUs.          #
# Molecules 2022, 27, 3041.                                       #
# https://doi.org/10.3390/molecules27093041                       #
#                                                                 #
# And also the origin AutoDock Vina paper:                        #
# O. Trott, A. J. Olson,                                          #
# AutoDock Vina: improving the speed and accuracy of docking      #
# with a new scoring function, efficient optimization and         #
# multithreading, Journal of Computational Chemistry 31 (2010)    #
# 455-461                                                         #
#                                                                 #
# DOI 10.1002/jcc.21334                                           #
#                                                                 #
###################################################################

WARNING: The search space volume > 27000 Angstrom^3 (See FAQ)
Reading input ... done.
Setting up the scoring function ... done.
Analyzing the binding site ... done.
Using random seed: 129908946
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -6.2      0.000      0.000
   2         -6.1     21.764     25.414
   3         -5.8     23.606     28.605
   4         -5.7     18.203     22.692
   5         -5.7      1.933      2.872
   6         -5.7      3.321     10.051
   7         -5.7      3.171      6.074
   8         -5.7     18.387     23.719
   9         -5.7     21.055     26.331
  10         -5.6     27.327     31.948
  11         -5.6      3.617      8.101
  12         -5.6     19.900     24.476
  13         -5.5     26.711     30.815
  14         -5.5     30.732     34.716
  15         -5.5     12.764     18.937
  16         -5.5      2.894      8.929
  17         -5.4      3.195      7.689
  18         -5.4     27.420     31.602
  19         -5.4      2.294      3.954
  20         -5.4     20.499     25.091
Writing output ... done.