###################################################################
# 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: -1142917082
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -7.9      0.000      0.000
   2         -7.9     16.557     27.870
   3         -7.9     15.489     21.031
   4         -7.7      5.724     11.810
   5         -7.6      5.350     14.433
   6         -7.6      5.111     16.924
   7         -7.5     18.900     24.524
   8         -7.5      4.405      7.311
   9         -7.3      6.697     11.066
  10         -7.3     11.662     19.833
  11         -7.3     13.247     25.611
  12         -7.3      3.621     14.665
  13         -7.3      5.990     16.280
  14         -7.3      5.624     16.529
  15         -7.3      5.192     16.292
  16         -7.2     14.317     21.577
  17         -7.2      3.218      6.747
  18         -7.1      4.496      9.172
  19         -7.0      5.854     17.496
  20         -7.0      9.391     14.817
Writing output ... done.