###################################################################
# 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: 2065678285
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -5.8      0.000      0.000
   2         -5.7     20.464     29.399
   3         -5.6     22.280     30.937
   4         -5.6     20.116     27.600
   5         -5.5     23.471     28.524
   6         -5.4     22.276     31.119
   7         -5.3      2.631     10.398
   8         -5.3     21.595     29.470
   9         -5.3      3.269      8.336
  10         -5.2      2.827      8.552
  11         -5.2      3.235      7.329
  12         -5.1      3.565      7.531
  13         -5.1     24.993     29.996
  14         -5.1      4.192     11.717
  15         -5.1      2.963      9.515
  16         -5.1      2.729      9.157
  17         -5.0      3.871      8.663
  18         -5.0     20.078     24.575
  19         -5.0      2.657     10.090
  20         -4.8      3.058      7.073
Writing output ... done.
