###################################################################
# 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: 1261890640
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -5.7      0.000      0.000
   2         -5.6     15.004     20.332
   3         -5.6      6.360     15.027
   4         -5.5     15.374     20.259
   5         -5.5     11.729     20.049
   6         -5.4     12.956     22.420
   7         -5.4     15.063     20.758
   8         -5.4      4.730     10.072
   9         -5.4     12.143     18.861
  10         -5.4     14.626     20.060
  11         -5.3      4.414     11.825
  12         -5.3      2.330      4.019
  13         -5.3      4.071      9.721
  14         -5.2     10.010     17.167
  15         -5.2     10.591     18.919
  16         -5.1     16.491     22.450
  17         -5.1     15.787     21.415
  18         -5.1     10.196     17.137
  19         -5.1      4.121     12.058
  20         -4.9     14.999     22.293
Writing output ... done.
