###################################################################
# 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: -91247396
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -6.5      0.000      0.000
   2         -6.3      3.284     11.900
   3         -6.2      4.184     14.092
   4         -6.1      5.073      9.355
   5         -6.0      2.753      6.810
   6         -6.0     22.982     27.324
   7         -6.0      4.088      8.112
   8         -6.0      4.829      8.630
   9         -5.9      3.014     12.129
  10         -5.9      3.477     11.297
  11         -5.9     19.663     24.764
  12         -5.9      4.574     14.321
  13         -5.9      2.793     10.280
  14         -5.9      2.845      7.063
  15         -5.9      3.015     11.845
  16         -5.7      5.901     12.206
  17         -5.6     23.256     28.441
  18         -5.6      4.137     14.189
  19         -5.6      4.027      8.996
  20         -5.6     22.870     27.562
Writing output ... done.