From bde26ea17337e7a4fb203504ba8fcee4dff23518 Mon Sep 17 00:00:00 2001 From: Vaclav Hanzl <64649594+vaclavhanzl@users.noreply.github.com> Date: Fri, 23 Aug 2024 22:03:37 +0200 Subject: [PATCH] Update Inference.md - missing backslash --- docs/source/Inference.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/source/Inference.md b/docs/source/Inference.md index 8c179bca9..e8c0a4698 100644 --- a/docs/source/Inference.md +++ b/docs/source/Inference.md @@ -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 \ @@ -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). \ No newline at end of file +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).