###################################################################
# 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: 672959460
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -8.7      0.000      0.000
   2         -8.4      3.851     11.881
   3         -8.2      3.873      6.386
   4         -8.2      2.911      7.014
   5         -8.1      4.030     12.557
   6         -8.1      3.439     12.063
   7         -8.1      2.784     11.454
   8         -8.1      2.656      5.430
   9         -8.1      2.513      4.790
  10         -8.0      6.379     12.054
  11         -8.0      3.407     13.737
  12         -7.9      3.293     11.189
  13         -7.9      3.932     11.091
  14         -7.9      3.473     12.710
  15         -7.8      6.966     13.281
  16         -7.8      4.449     12.762
  17         -7.7     20.822     27.082
  18         -7.7     20.662     29.898
  19         -7.7      2.523      6.335
  20         -7.6      3.694     10.603
Writing output ... done.