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@@ -44,8 +44,8 @@ Install [Model Generator](https://github.com/genbio-ai/modelgenerator).
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  - **`./proteinIF_outputs/results_acc_<median_accuracy>.txt`** (where median accuracy is the median accuracy calculated over all the test samples):
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  - Here, for each protein in the test set, we have three lines of information:
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  - Line1: Identity of the protein (as '`name=<PDB_ID>.<CHAIN_ID>`'), length of the squence (as '`L=<length_of_sequence>`'), and the recovery rate/accuracy for that protein sequence (as '`Recovery=<recovery_rate_of_sequence>`')
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- - Line2: *Single-letter representation* of amino-acids of the ground truth sequences (as `true:VTVGKSAPYFSL...`)
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- - Line3: *Single-letter representation* of amino-acids of the predicted sequences by our method (as `true:TAVGDEAPYFEL...`)
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  - An example file content:
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  ```
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  >name=3fkf.A | L=141 | Recovery=0.5957446694374084
 
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  - **`./proteinIF_outputs/results_acc_<median_accuracy>.txt`** (where median accuracy is the median accuracy calculated over all the test samples):
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  - Here, for each protein in the test set, we have three lines of information:
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  - Line1: Identity of the protein (as '`name=<PDB_ID>.<CHAIN_ID>`'), length of the squence (as '`L=<length_of_sequence>`'), and the recovery rate/accuracy for that protein sequence (as '`Recovery=<recovery_rate_of_sequence>`')
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+ - Line2: *Single-letter representation* of amino-acids of the ground truth sequences (as `true:<sequence_of_amino_acids>`)
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+ - Line3: *Single-letter representation* of amino-acids of the predicted sequences by our method (as `pred:<sequence_of_amino_acids>`)
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  - An example file content:
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  ```
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  >name=3fkf.A | L=141 | Recovery=0.5957446694374084