###################################################################
# 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: 41341730
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -6.7      0.000      0.000
   2         -6.6      3.693     14.599
   3         -6.5      2.780     14.255
   4         -6.5      4.097     10.319
   5         -6.4      5.104     11.051
   6         -6.4      5.993     13.635
   7         -6.4      2.704     13.866
   8         -6.3      2.841      6.012
   9         -6.3      3.007      4.884
  10         -6.3      3.005      6.629
  11         -6.3     19.882     24.131
  12         -6.3      3.501     13.503
  13         -6.2      2.560     14.969
  14         -6.2      5.228      9.995
  15         -6.2      4.500     14.257
  16         -6.1      6.509     13.911
  17         -6.1      2.495      5.344
  18         -6.0      7.303     13.319
  19         -5.9     29.575     33.730
  20         -5.9      2.850      5.024
Writing output ... done.