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Update Inference.md - missing backslash #478

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Update Inference.md - missing backslash #478

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4 changes: 2 additions & 2 deletions docs/source/Inference.md
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Expand Up @@ -59,7 +59,7 @@ The following command performs a sequence alignment against the OpenProteinSet d
```
python3 run_pretrained_openfold.py \
$INPUT_FASTA_DIR \
$TEMPLATE_MMCIF_DIR
$TEMPLATE_MMCIF_DIR \
--output_dir $OUTPUT_DIR \
--config_preset model_1_ptm \
--uniref90_database_path $BASE_DATA_DIR/uniref90 \
Expand Down Expand Up @@ -168,4 +168,4 @@ To minimize memory usage during inference on long sequences, consider the follow

Using the most conservative settings, we were able to run inference on a 4600-residue complex with a single A100. Compared to AlphaFold's own memory offloading mode, ours is considerably faster; the same complex takes the more efficent AlphaFold-Multimer more than double the time. Use the `long_sequence_inference` config option to enable all of these interventions at once. The `run_pretrained_openfold.py` script can enable this config option with the `--long_sequence_inference` command line option

Input FASTA files containing multiple sequences are treated as complexes. In this case, the inference script runs AlphaFold-Gap, a hack proposed [here](https://twitter.com/minkbaek/status/1417538291709071362?lang=en), using the specified stock AlphaFold/OpenFold parameters (NOT AlphaFold-Multimer).
Input FASTA files containing multiple sequences are treated as complexes. In this case, the inference script runs AlphaFold-Gap, a hack proposed [here](https://twitter.com/minkbaek/status/1417538291709071362?lang=en), using the specified stock AlphaFold/OpenFold parameters (NOT AlphaFold-Multimer).
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