###################################################################
# 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: 1136977330
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -5.4      0.000      0.000
   2         -5.0      7.591     15.400
   3         -5.0     15.560     20.809
   4         -5.0     16.694     21.891
   5         -5.0     10.157     17.225
   6         -4.9      7.672     12.218
   7         -4.8     16.841     21.799
   8         -4.8     16.753     22.621
   9         -4.7      2.628      9.567
  10         -4.7      2.874      5.927
  11         -4.7      2.625      8.948
  12         -4.7      5.813     12.795
  13         -4.6     14.603     20.679
  14         -4.6     11.461     16.706
  15         -4.6      3.410      6.780
  16         -4.6      2.884      9.924
  17         -4.5     10.263     14.995
  18         -4.5      6.412     10.840
  19         -4.5     10.693     17.696
  20         -4.4     15.946     22.978
Writing output ... done.