###################################################################
# 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: 1373070808
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -6.5      0.000      0.000
   2         -6.4     25.722     33.832
   3         -6.0     23.344     31.450
   4         -6.0     21.188     26.672
   5         -6.0     29.379     36.960
   6         -6.0     28.057     36.495
   7         -5.9     21.226     27.550
   8         -5.9     25.220     31.368
   9         -5.9     24.540     31.245
  10         -5.8     21.390     28.346
  11         -5.8     20.807     24.261
  12         -5.8     24.544     32.352
  13         -5.7     21.566     26.489
  14         -5.7     22.991     28.021
  15         -5.6      4.758      8.394
  16         -5.6     24.507     31.921
  17         -5.6     20.903     28.502
  18         -5.5     22.153     28.762
  19         -5.5     24.203     30.974
  20         -5.4     20.576     27.091
Writing output ... done.