###################################################################
# 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: -1498986392
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -7.2      0.000      0.000
   2         -7.0      2.860      5.823
   3         -7.0      3.577     14.207
   4         -7.0      6.224     12.069
   5         -7.0      2.592     10.934
   6         -6.9      3.939      7.062
   7         -6.8     23.588     28.162
   8         -6.8     21.620     25.591
   9         -6.8      7.725     13.645
  10         -6.8      3.481     11.394
  11         -6.8     19.038     23.682
  12         -6.8     17.011     22.357
  13         -6.7      3.658      6.706
  14         -6.7     19.921     24.449
  15         -6.6     22.763     26.988
  16         -6.6      3.690      6.329
  17         -6.6      3.469     14.113
  18         -6.5      4.105     15.006
  19         -6.5      3.908     14.351
  20         -6.4      4.618     10.043
Writing output ... done.