###################################################################
# 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: -117329923
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -8.4      0.000      0.000
   2         -8.2      7.151     13.056
   3         -7.9      2.727      7.362
   4         -7.8      8.743     14.925
   5         -7.8      6.815     15.835
   6         -7.7      2.673     12.568
   7         -7.6      3.429      7.426
   8         -7.6      2.172      5.376
   9         -7.6      4.434      9.275
  10         -7.6      7.708     13.499
  11         -7.5      3.839      7.769
  12         -7.5      3.174      7.135
  13         -7.5      8.371     14.261
  14         -7.4      3.206      7.213
  15         -7.4      5.399     15.281
  16         -7.4      3.678      7.166
  17         -7.4      6.285     16.422
  18         -7.3      2.888      6.832
  19         -7.2      2.444      5.950
  20         -7.1      9.780     16.932
Writing output ... done.