###################################################################
# 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: 1685487430
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -6.1      0.000      0.000
   2         -5.9     28.414     32.852
   3         -5.9     27.420     33.063
   4         -5.7     27.741     33.796
   5         -5.7     27.169     32.790
   6         -5.6     28.051     33.374
   7         -5.6     29.681     33.004
   8         -5.5     28.390     33.324
   9         -5.5      5.347     10.943
  10         -5.5      5.459     11.951
  11         -5.5     10.660     15.825
  12         -5.5     28.198     32.020
  13         -5.5      3.939      8.297
  14         -5.5     25.533     31.944
  15         -5.4      5.154     12.748
  16         -5.4      5.823     10.147
  17         -5.4     28.733     33.191
  18         -5.3     28.546     34.952
  19         -5.3     17.934     22.720
  20         -5.3      4.774     12.708
Writing output ... done.