###################################################################
# 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: 121701285
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -7.2      0.000      0.000
   2         -7.1     30.184     35.813
   3         -7.0     25.602     30.180
   4         -7.0     21.719     25.758
   5         -6.9      4.810     10.442
   6         -6.9     23.094     27.976
   7         -6.9     22.526     25.985
   8         -6.8     24.587     28.864
   9         -6.8     21.869     25.441
  10         -6.8     22.385     27.247
  11         -6.8     23.112     31.386
  12         -6.7      3.851     14.840
  13         -6.7     23.271     27.189
  14         -6.7     11.408     16.364
  15         -6.7      2.322      3.605
  16         -6.7     26.191     29.516
  17         -6.7     32.860     39.478
  18         -6.6     27.721     32.857
  19         -6.5      3.682     11.669
  20         -6.4     26.200     29.459
Writing output ... done.