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Highly negative total score

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Highly negative total score
#1

I have performed a docking between a protein and a 15 residue peptide using flex pep dock. I have got a total score of around -1347, is this considered as good docking ? I am unable to predict whether the docking can be considered or not. Please help me. Thanks in advance:

The total score and other factors are as follows:

total_score

I_sc

fa_atr

fa_dun

fa_pair

fa_rep

fa_sol

hbond_sc

pep_sc

pep_sc_noref

rama

rmsALL_if

rmsBB

rmsBB_if

startRMSbb

description

-1347.095

-14.720

-5007.113

1134.600

-85.068

776.773

2460.776

-39.201

-8.295

-19.405

141.836

2.842

2.680

2.430

0.000

top_1.pdb

-1343.080

-11.662

-4997.305

1134.889

-84.667

773.714

2457.896

-39.826

-5.309

-16.419

142.413

2.411

1.188

1.205

0.000

top_2.pdb

-1342.016

-17.091

-5003.941

1132.832

-84.844

782.667

2459.289

-39.885

-10.117

-21.227

142.670

2.212

1.501

1.516

0.000

top_3.pdb

-1341.815

-14.740

-5012.769

1136.692

-83.429

778.716

2465.664

-39.519

-8.820

-19.930

142.253

2.434

2.203

2.015

0.000

top_4.pdb

-1341.156

-17.032

-5004.029

1137.124

-84.009

776.288

2461.377

-39.548

-8.928

-20.038

142.564

2.178

1.044

1.057

0.000

top_5.pdb

-1340.566

-15.159

-5013.151

1136.656

-83.377

779.321

2466.008

-40.593

-6.833

-17.943

142.152

2.704

2.653

2.466

0.000

top_6.pdb

-1340.552

-13.753

-5011.181

1139.277

-84.528

776.843

2467.074

-39.732

-8.951

-20.061

141.948

1.898

1.583

1.467

0.000

top_7.pdb

-1340.207

-14.188

-5003.347

1136.732

-84.222

781.371

2456.592

-39.093

-7.809

-18.919

141.985

6.767

5.835

6.127

0.000

top_8.pdb

-1339.185

-14.238

-5018.549

1144.341

-85.171

780.477

2469.711

-39.545

-7.569

-18.679

141.185

1.937

1.613

1.484

0.000

top_9.pdb

-1339.054

-15.704

-5007.212

1138.056

-83.308

778.395

2462.201

-39.708

-8.215

-19.325

142.234

2.347

0.831

0.865

0.000

top_10.pdb

Category: 
Post Situation: 
Wed, 2019-04-24 19:55
Ruchi_P_Jain

Hello,

In docking experiments it is common to sort your models for an acceptably good total_score in order to remove models with clashes and other poor properties and then sort these good models based on the interface score. In your case, model 3 and 5 are the best to look at based on secondary sorting by I_sc (interface score). A good rule of thumb is to select the top 10% by total_score then sort these by I_sc and look at these top scoring models.

Take a look at these docs as well if you haven't already. The advice I give is in the last paragraph of the Analyzing Results doc, written a little differently, of course. 

https://www.rosettacommons.org/docs/latest/getting_started/Analyzing-Results

https://www.rosettacommons.org/docs/latest/getting_started/Rosetta-on-different-scales

Thu, 2019-04-25 07:58
nannemdp