###################################################################
# 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: -1361069536
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -5.9      0.000      0.000
   2         -5.8      2.927      9.876
   3         -5.7     17.062     22.794
   4         -5.6     20.615     27.443
   5         -5.5      2.647      9.225
   6         -5.5      6.630     14.964
   7         -5.5     22.214     30.333
   8         -5.5      2.661      5.487
   9         -5.4      2.880      5.884
  10         -5.4     26.539     32.299
  11         -5.3     22.222     30.287
  12         -5.3      4.651     11.265
  13         -5.3      2.926      4.347
  14         -5.3     20.746     27.760
  15         -5.3     22.918     29.961
  16         -5.2      2.881      7.766
  17         -5.2      2.634      5.997
  18         -5.2      4.530      8.828
  19         -5.1      2.843      9.858
  20         -5.1      2.984      7.745
Writing output ... done.