###################################################################
# 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: 426495310
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -8.1      0.000      0.000
   2         -8.1      3.682      7.768
   3         -8.0      3.770     12.772
   4         -7.8      2.432      5.712
   5         -7.8      3.235      7.798
   6         -7.8      3.460      7.370
   7         -7.8      3.929      7.501
   8         -7.7      3.551      7.789
   9         -7.5      5.015     15.653
  10         -7.5      3.426     12.310
  11         -7.4      4.194     14.738
  12         -7.4      4.489     14.649
  13         -7.3      5.521     16.291
  14         -7.2      2.936      7.145
  15         -7.2      3.133     10.151
  16         -7.1     24.282     29.844
  17         -7.1     25.117     31.133
  18         -7.1      4.162     15.070
  19         -7.1      3.707     13.675
  20         -7.0     23.888     29.708
Writing output ... done.