###################################################################
# 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: 663987396
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -8.8      0.000      0.000
   2         -8.8      3.916      9.532
   3         -8.6      2.171      3.953
   4         -8.6      2.941      6.261
   5         -8.6      2.963     14.887
   6         -8.5      2.495     14.310
   7         -8.4      3.090     14.360
   8         -8.4      1.891     14.001
   9         -8.3      3.318     13.756
  10         -8.3      9.703     15.644
  11         -8.2      2.540      4.484
  12         -8.1      7.825     15.519
  13         -8.1      5.770     17.025
  14         -8.0      7.618     15.578
  15         -8.0      4.685      9.386
  16         -8.0      2.976     15.277
  17         -8.0      7.851     15.058
  18         -8.0      4.209      9.042
  19         -8.0      2.181     14.113
  20         -7.7      7.921     15.502
Writing output ... done.