###################################################################
# 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: -1205322568
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -7.3      0.000      0.000
   2         -6.7      3.052      9.657
   3         -6.6      2.679      9.224
   4         -6.6      3.167      7.252
   5         -6.6      2.762     10.078
   6         -6.6      9.834     14.375
   7         -6.6      3.696     10.518
   8         -6.6      3.303      9.575
   9         -6.5      3.560      9.661
  10         -6.5      3.058      8.256
  11         -6.5      2.820      8.019
  12         -6.5      3.041      8.718
  13         -6.5      3.411     11.049
  14         -6.4      3.144      7.853
  15         -6.4      3.394      8.283
  16         -6.3      3.519     10.262
  17         -6.3      3.196      9.957
  18         -6.3      2.809      9.620
  19         -6.2      3.141      7.558
  20         -6.2      4.207     10.364
Writing output ... done.