###################################################################
# 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: -860130268
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -9.7      0.000      0.000
   2         -9.7      3.995     11.879
   3         -9.6      4.376     12.731
   4         -9.6      3.928     11.430
   5         -9.6      2.772      6.576
   6         -9.1      4.495      8.129
   7         -9.1      3.735      5.919
   8         -9.1      5.647     15.028
   9         -8.9      3.100     10.850
  10         -8.9      5.143      9.553
  11         -8.8      3.321     14.013
  12         -8.8      3.055     10.733
  13         -8.8      3.168     11.872
  14         -8.7      2.684      5.704
  15         -8.7      3.925      7.988
  16         -8.7      3.483      8.486
  17         -8.7      3.042      4.658
  18         -8.6      4.337      8.314
  19         -8.6      4.415     13.775
  20         -8.3      4.260     10.665
Writing output ... done.