###################################################################
# 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: 1137206452
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -9.5      0.000      0.000
   2         -9.4      2.804      5.262
   3         -9.3      3.125     10.128
   4         -9.1      4.113      9.310
   5         -9.0      3.993      7.303
   6         -8.8      2.076      2.911
   7         -8.8      3.210     12.907
   8         -8.8      3.708      7.107
   9         -8.7      7.150     15.882
  10         -8.6      6.260     11.027
  11         -8.6      2.909      6.920
  12         -8.6      3.512      8.951
  13         -8.6      3.431      7.499
  14         -8.5      3.107     13.262
  15         -8.5      3.882     12.313
  16         -8.5      5.316     10.684
  17         -8.5      3.346     12.466
  18         -8.4      3.127     11.886
  19         -8.3      6.855     15.711
  20         -8.2     23.524     27.997
Writing output ... done.