###################################################################
# 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: 1517907296
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -9.0      0.000      0.000
   2         -8.9      3.784      6.954
   3         -8.9      2.884     13.590
   4         -8.5      5.348     10.556
   5         -8.4      6.266     12.779
   6         -8.4      4.010      7.947
   7         -8.3      5.580     16.828
   8         -8.3      7.043     12.394
   9         -8.1     21.402     26.179
  10         -8.1      2.986     14.313
  11         -8.0      2.611     14.672
  12         -8.0      7.451     18.014
  13         -8.0      2.316      3.817
  14         -7.9      4.021      9.887
  15         -7.8      2.572     14.221
  16         -7.7      2.414      6.763
  17         -7.6      3.094      6.071
  18         -7.6      3.808      6.484
  19         -7.6      6.501     11.657
  20         -7.4      6.100     15.412
Writing output ... done.