###################################################################
# 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: 1256386050
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         -8.3      3.518      7.915
   3         -8.3      4.294      7.967
   4         -8.2      3.250     13.455
   5         -8.2      3.106      7.589
   6         -8.2      4.003     13.030
   7         -7.9      3.335      7.868
   8         -7.9      3.108     13.132
   9         -7.9      3.238      8.821
  10         -7.9      4.411     14.434
  11         -7.9      4.858      9.313
  12         -7.9      5.182      8.533
  13         -7.8      3.730      7.132
  14         -7.8      2.921     11.396
  15         -7.8      3.198     11.641
  16         -7.7      3.183      6.904
  17         -7.7      2.866      5.605
  18         -7.6      5.125     15.230
  19         -7.6      2.480      6.393
  20         -7.6      4.186      7.995
Writing output ... done.