Commit ac79672c authored by Gustaf Ahdritz's avatar Gustaf Ahdritz
Browse files

Clarify dependencies in README

parent 220f49e0
...@@ -24,8 +24,9 @@ future. ...@@ -24,8 +24,9 @@ future.
Python dependencies available through `pip` are provided in `requirements.txt`. Python dependencies available through `pip` are provided in `requirements.txt`.
OpenFold depends on `openmm==7.5.1` and `pdbfixer`, which are only available OpenFold depends on `openmm==7.5.1` and `pdbfixer`, which are only available
via `conda`. For producing sequence alignments, you'll also need `jackhmmer`, via `conda`. For producing sequence alignments, you'll also need
`kalign`, and the [HH-suite](https://github.com/soedinglab/hh-suite) installed `kalign`, the [HH-suite](https://github.com/soedinglab/hh-suite), and one of
{`jackhmmer`, [MMseqs2](https://github.com/soedinglab/mmseqs2)} installed on
on your system. Finally, some download scripts require `aria2c`. on your system. Finally, some download scripts require `aria2c`.
For convenience, we provide a script that installs Miniconda locally, creates a For convenience, we provide a script that installs Miniconda locally, creates a
...@@ -65,7 +66,7 @@ scripts/download_data.sh data/ ...@@ -65,7 +66,7 @@ scripts/download_data.sh data/
You have two choices for downloading protein databases, depending on whether You have two choices for downloading protein databases, depending on whether
you want to use DeepMind's MSA generation pipeline (w/ HMMR & HHblits) or you want to use DeepMind's MSA generation pipeline (w/ HMMR & HHblits) or
[ColabFold](https://github.com/sokrypton/ColabFold)'s, which uses the faster [ColabFold](https://github.com/sokrypton/ColabFold)'s, which uses the faster
[MMseqs2](https://github.com/soedinglab/mmseqs2) instead. For the former, run: MMseqs2 instead. For the former, run:
```bash ```bash
scripts/download_alphafold_databases.sh data/ scripts/download_alphafold_databases.sh data/
......
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