###################################################################
# 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: -683918876
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -6.4      0.000      0.000
   2         -6.4     23.882     30.256
   3         -6.3     23.914     29.568
   4         -6.3     30.541     38.346
   5         -6.2      5.729     13.801
   6         -6.2     15.458     25.259
   7         -6.2     24.479     29.135
   8         -6.2      3.304     12.937
   9         -6.1      5.046     10.062
  10         -6.0      3.453     14.367
  11         -6.0      7.568     11.060
  12         -5.9     28.908     34.934
  13         -5.9     24.234     28.633
  14         -5.9     22.726     29.645
  15         -5.9     28.838     33.540
  16         -5.9     24.346     31.361
  17         -5.8     24.367     28.722
  18         -5.7     24.585     28.845
  19         -5.6     25.761     29.757
  20         -5.5      8.799     16.736
Writing output ... done.