###################################################################
# 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: 1471346699
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         -5.5      3.070     11.155
   3         -5.5     19.799     23.692
   4         -5.5     15.898     21.396
   5         -5.5     21.794     27.329
   6         -5.5      2.948     11.535
   7         -5.5     17.776     23.258
   8         -5.4     18.388     22.364
   9         -5.4     24.763     29.647
  10         -5.4     16.449     20.522
  11         -5.4      4.629     10.346
  12         -5.3      2.832      6.594
  13         -5.3     21.007     26.666
  14         -5.2      3.949     11.846
  15         -5.2     27.401     31.695
  16         -5.1     21.709     26.211
  17         -5.1      5.233     13.211
  18         -5.1      2.873      6.137
  19         -5.0     25.985     30.204
  20         -4.9      2.589      5.339
Writing output ... done.