###################################################################
# 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: -1284023066
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -9.3      0.000      0.000
   2         -9.2      2.826      6.915
   3         -8.9      2.954      6.804
   4         -8.8      2.660      6.922
   5         -8.6      2.774      4.793
   6         -8.6      2.228      4.342
   7         -8.5      3.793      6.463
   8         -8.4      2.560      5.309
   9         -8.3      3.191      6.500
  10         -8.3      3.267      6.989
  11         -8.2      2.618      6.555
  12         -8.2      2.550      6.490
  13         -8.0     20.700     25.796
  14         -8.0      2.755     11.665
  15         -7.9      3.870     13.711
  16         -7.9     20.795     25.586
  17         -7.8      2.814     13.494
  18         -7.8      3.707      6.753
  19         -7.8      3.322     12.831
  20         -7.7      3.246     12.155
Writing output ... done.