I have used the default command as in readme, and a PDB file with multiple linker conformers (named as MODEL1, MODEL2 etc. as by PDB format). The script works fine if linker PDB contains one conformer, but crashes when multiple conformer file is given. It also thinks that only one linker conformer has been provided, which is incorrect. I believe the multimodel PDB file should be the way to provide multiple conformers?
1 decoy(s) has/have been passed to the system.
1 linker conformer(s) has/have been passed to the system.
../ternary_model_prediction.py:115: RuntimeWarning: overflow encountered in multiply
dist = dist * dist
/scipy/optimize/optimize.py:2115: RuntimeWarning: invalid value encountered in double_scalars
tmp1 = (x - w) * (fx - fv)
/scipy/optimize/optimize.py:2116: RuntimeWarning: invalid value encountered in double_scalars
tmp2 = (x - v) * (fx - fw)
/scipy/optimize/optimize.py:2937: RuntimeWarning: invalid value encountered in double_scalars
if (fx2 - fval) > delta:
/scipy/optimize/optimize.py:2946: RuntimeWarning: invalid value encountered in double_scalars
if 2.0 * (fx - fval) <= bnd:
I have used the default command as in readme, and a PDB file with multiple linker conformers (named as MODEL1, MODEL2 etc. as by PDB format). The script works fine if linker PDB contains one conformer, but crashes when multiple conformer file is given. It also thinks that only one linker conformer has been provided, which is incorrect. I believe the multimodel PDB file should be the way to provide multiple conformers?