# What does final generated models with TM-score of DMPfold signify in "sequence.ema.txt" file?

So, my runs have finished and got 5 final models. I predicted TM-score of one model to understand the result. The output of "predict-tmscore.sh" for "final_1.pdb" is:

1 models read from PDB file
1 models read from PDB file
nres is 377
neff is 15423
dpscore is -300.599030
dpscorenorm is -0.082424
Probability of each TM-score bin (cols 1-10), estimated TM-score (col 11) and prob TM > 0.5 (col 12) written to sequence.ema.txt
Estimated TM-score of ../final_1.pdb is 0.5


    nres is 377
neff is 15423
dpscore is -300.599030
dpscorenorm is    -0.082424


and it also generates a "sequence.ema.txt" file with below value:

2.0308916646172293e-05 2.0682286958617624e-06 0.04564645141363144 0.14857041835784912 0.27177685499191284 0.31814685463905334 0.19150513410568237 0.022412151098251343 0.001872337656095624 4.743059980683029e-05 0.5036169363265117 0.5339840054512024


Please let me know what these above values signify?

And,I would really appreciate your comments on what does "rawdistpred.1" file mean? There are total 9 such files. When predicitng TM-score, do I need to use "rawdistpred.1" file for all final models or I can use any "rawdistpred.*" file?

thanks!

• Excellent question and answers on two core structure prediction programs
– M__
Sep 24, 2019 at 10:50

• nres is the sequence length.
• neff is an effective sequence count, or how deep the alignment was.
• dpscore is how well the final model matches the initial distance prediction.
• dpscorenorm is a normalised version of the above.
Don't worry too much about directly interpreting these. They are only given for completion. The important line is Estimated TM-score of ../final_1.pdb is 0.5, indicating that DMPfold just about thinks this is a decent model.