Cosmetics
Browse files- app.py +34 -13
- introduction_page.md +30 -29
app.py
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@@ -95,7 +95,7 @@ def create_fasta_file(file_content: str, name: Optional[str] = None, seq_name: O
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# Generate a unique file name
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unique_id = hashlib.sha256(uuid4().bytes).hexdigest()[:8]
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file_name = f"{name if name else unique_id}"
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file_path = here / "inputs/fasta" / file_name
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# Write the FASTA file
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@@ -137,7 +137,7 @@ def create_json_config(
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}
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# Generate file name based on provided name or unique ID
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file_name = f"{name if name else hashlib.sha256(uuid4().bytes).hexdigest()[:8]}"
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file_path = here / "inputs/config" / file_name
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# Write the JSON file
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@@ -279,12 +279,12 @@ with gr.Blocks(theme=theme) as demo:
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gr.Markdown(
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"""
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# Protein Folding Simulation Interface
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This interface provides
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""")
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with gr.Tab("Introduction 🔭"):
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gr.Image("images/logo1.png", show_label=False,width=
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gr.Markdown(
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"""
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@@ -307,7 +307,13 @@ with gr.Blocks(theme=theme) as demo:
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)
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gr.HTML(
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"""<
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src="https://www.youtube.com/embed/P9cAKxJ9Zh8"
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frameborder="0" allowfullscreen></iframe>""",
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label="MCP demonstration video"
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@@ -316,7 +322,22 @@ with gr.Blocks(theme=theme) as demo:
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with open("introduction_page.md", "r") as f:
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intro_md = f.read()
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gr.Markdown(intro_md)
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with gr.Tab("Configuration 📦"):
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@@ -353,18 +374,18 @@ with gr.Blocks(theme=theme) as demo:
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with gr.Tab("Run folding simulation 🚀"):
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with gr.Row():
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with gr.Column(scale=1):
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inp1 = gr.FileExplorer(root_dir=here / "inputs/fasta",
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value="chai1_default_input.fasta",
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label="Input Fasta file",
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file_count='single')
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with gr.Column(scale=1):
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inp2 = gr.FileExplorer(root_dir=here / "inputs/config",
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value="chai1_quick_inference.json",
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label="Configuration file",
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file_count='single')
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btn_refresh = gr.Button("Refresh available files")
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# Only workaround I found to update the file explorer
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@@ -394,7 +415,7 @@ with gr.Blocks(theme=theme) as demo:
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)
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with gr.Tab("Show
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gr.Markdown(
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"""
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# Generate a unique file name
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unique_id = hashlib.sha256(uuid4().bytes).hexdigest()[:8]
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file_name = f"{name if name else "chai1_"+unique_id+".fasta"}"
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file_path = here / "inputs/fasta" / file_name
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# Write the FASTA file
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}
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# Generate file name based on provided name or unique ID
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file_name = f"{name if name else "chai1_"+hashlib.sha256(uuid4().bytes).hexdigest()[:8]+".json"}"
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file_path = here / "inputs/config" / file_name
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# Write the JSON file
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gr.Markdown(
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"""
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# Protein Folding Simulation Interface
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This interface provides the tools to fold any FASTA chain based on Chai-1 model. Also, this is a MCP server to provide all the tools to automate the process of folding proteins with LLMs.
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""")
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with gr.Tab("Introduction 🔭"):
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gr.Image("images/logo1.png", show_label=False, width=600, show_download_button=False, show_fullscreen_button=False)
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gr.Markdown(
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"""
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)
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gr.HTML(
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"""<style>
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iframe {
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display: block;
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margin: 0 auto;
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}
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</style>
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<iframe width="600" height="338"
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src="https://www.youtube.com/embed/P9cAKxJ9Zh8"
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frameborder="0" allowfullscreen></iframe>""",
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label="MCP demonstration video"
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with open("introduction_page.md", "r") as f:
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intro_md = f.read()
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gr.Markdown(intro_md)
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gr.Markdown(
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"""
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# Result example
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The following image shows an example of a protein folding simulation using the Chai-1 model.
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The simulation was run with the default configuration and the image is 3D view from the Gradio interface.
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""")
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gr.Image("images/protein.png", show_label=True, width=400, label="Protein Folding example", show_download_button=False, show_fullscreen_button=False)
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gr.Markdown(
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"""
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# Contact
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For any issues or questions, please contact the developer or refer to the documentation.
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""")
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with gr.Tab("Configuration 📦"):
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with gr.Tab("Run folding simulation 🚀"):
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with gr.Row():
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with gr.Column(scale=1):
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inp2 = gr.FileExplorer(root_dir=here / "inputs/config",
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value="chai1_quick_inference.json",
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label="Configuration file",
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file_count='single')
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with gr.Column(scale=1):
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inp1 = gr.FileExplorer(root_dir=here / "inputs/fasta",
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value="chai1_default_input.fasta",
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label="Input Fasta file",
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file_count='single')
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btn_refresh = gr.Button("Refresh available files")
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# Only workaround I found to update the file explorer
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)
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with gr.Tab("Show molecule from a CIF file 💻"):
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gr.Markdown(
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"""
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introduction_page.md
CHANGED
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@@ -10,10 +10,10 @@ code[class*="language-bash"], pre[class*="language-bash"] {
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<div style="background-color:#f5f5f5; border-radius:8px; padding:18px 24px; margin-bottom:24px; border:1px solid #cccccc;">
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### 1. <span style="color:#
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<small>Default configuration is available if you skip this step.</small>
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- **Parameters:**
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- <b>Number of diffusion time steps:</b> 1 to 500
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- <b>Number of trunk recycles:</b> 1 to 5
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- <b>ESM_embeddings:</b> Include or not
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- <b>MSA_server:</b> Include or not
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### 2. <span style="color:#
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<small>Default FASTA files are available if you skip this step.</small>
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- <b style="color:#b91c1c;">Warning:</b> The header must be well formatted for Chai1 to process it.
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**FASTA template:**
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```fasta
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>{molecule_type}|{molecule_name}
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Sequence (for protein/RNA/DNA) or SMILES for ligand
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```
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**Accepted molecule types:**
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`protein`/ `rna`/ `dna` / `ligand`
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**Default input (provided by Chai1):**
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```fasta
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>protein|name=example-of-long-protein
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AGSHSMRYFSTSVSRPGRGEPRFIAVGYVDDTQFVRFDSDAASPRGEPRAPWVEQEGPEYWDRETQKYKRQAQTDRVSLRNLRGYYNQSEAGSHTLQWMFGCDLGPDGRLLRGYDQSAYDGKDYIALNEDLRSWTAADTAAQITQRKWEAAREAEQRRAYLEGTCVEWLRRYLENGKETLQRAEHPKTHVTHHPVSDHEATLRCWALGFYPAEITLTWQWDGEDQTQDTELVETRPAGDGTFQKWAAVVVPSGEEQRYTCHVQHEGLPEPLTLRWEP
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>ligand|name=example-ligand-as-smiles
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CCCCCCCCCCCCCC(=O)O
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```
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<small>For a peptide, use `protein` as the molecule type.</small>
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**Other example:**
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```fasta
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>protein|lysozyme
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MNIFEMLRIDEGLRLKIYKDTEGYYTIGIGHLLTKSPDLNAAKSELDKAIGRNCNGVITKDEAEKLFNQDVDAAVRGILRNAKLKPVYDSLDAVRRCAAINQVFQMGETGVAGFTNSLRMLQQKRWDEAAVNLAKSRWYNQTPDRAKRVITTFRTGTWDAYKNL
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```
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-
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<small>Files are stored in your working directory as you create them.</small>
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###
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</div>
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- chai1_quick_inference.json
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```json
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{
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"num_trunk_recycles": 1,
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"num_diffn_timesteps": 10,
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"seed": 42,
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"use_esm_embeddings": true
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"use_msa_server": false
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}
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```
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For any issues or questions, please contact the developer or refer to the documentation.
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<div style="background-color:#f5f5f5; border-radius:8px; padding:18px 24px; margin-bottom:24px; border:1px solid #cccccc;">
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### 1. <span style="color:#e98935;">Create your JSON configuration file (Optional)</span>
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<small>Default configuration is available if you skip this step.</small>
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- In the `Configuration 📦` window, set your simulation parameters and generate the JSON config file. You can provide a file name in the dedicated box that will appear in the list of available configuration files. If you don't, a unique identifier will be assigned (e.g., `chai_{run_id}_config.json`).
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- **Parameters:**
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- <b>Number of diffusion time steps:</b> 1 to 500
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- <b>Number of trunk recycles:</b> 1 to 5
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- <b>ESM_embeddings:</b> Include or not
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- <b>MSA_server:</b> Include or not
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### 2. <span style="color:#e98935;">Upload a FASTA file with your molecule sequence (Optional)</span>
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<small>Default FASTA files are available if you skip this step.</small>
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- In the `Configuration 📦` window, write your FASTA content and create the file. You can provide a file name in the dedicated box that will appear in the list of available configuration files. If you don't provide a file name a unique identifier will be assigned (e.g., `chai_{run_id}_input.fasta`). Also, if you don't provide a fasta content a default sequence will be written in the file.
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- <b style="color:#b91c1c;">Warning:</b> The header must be well formatted for Chai1 to process it.
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**FASTA template:**
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<div style="background-color:#ffffff; border-radius:8px; padding:18px 24px; margin-bottom:24px; border:1px solid #cccccc;">
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```fasta
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>{molecule_type}|{molecule_name}
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Sequence (for protein/RNA/DNA) or SMILES for ligand
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```
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</div>
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**Accepted molecule types:**
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`protein`/ `rna`/ `dna` / `ligand`
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**Default input (provided by Chai1):**
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<div style="background-color:#ffffff; border-radius:8px; padding:18px 24px; margin-bottom:24px; border:1px solid #cccccc;">
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```fasta
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>protein|name=example-of-long-protein
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AGSHSMRYFSTSVSRPGRGEPRFIAVGYVDDTQFVRFDSDAASPRGEPRAPWVEQEGPEYWDRETQKYKRQAQTDRVSLRNLRGYYNQSEAGSHTLQWMFGCDLGPDGRLLRGYDQSAYDGKDYIALNEDLRSWTAADTAAQITQRKWEAAREAEQRRAYLEGTCVEWLRRYLENGKETLQRAEHPKTHVTHHPVSDHEATLRCWALGFYPAEITLTWQWDGEDQTQDTELVETRPAGDGTFQKWAAVVVPSGEEQRYTCHVQHEGLPEPLTLRWEP
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>ligand|name=example-ligand-as-smiles
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CCCCCCCCCCCCCC(=O)O
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```
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</div>
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<small>For a peptide, use `protein` as the molecule type.</small>
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**Other example:**
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<div style="background-color:#ffffff; border-radius:8px; padding:18px 24px; margin-bottom:24px; border:1px solid #cccccc;">
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```fasta
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>protein|lysozyme
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MNIFEMLRIDEGLRLKIYKDTEGYYTIGIGHLLTKSPDLNAAKSELDKAIGRNCNGVITKDEAEKLFNQDVDAAVRGILRNAKLKPVYDSLDAVRRCAAINQVFQMGETGVAGFTNSLRMLQQKRWDEAAVNLAKSRWYNQTPDRAKRVITTFRTGTWDAYKNL
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```
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</div>
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### 3. <span style="color:#e98935;">Select your config and FASTA files</span>
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<small>Files are stored in your working directory as you create them.</small>
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In the `Run folding simulation 🚀` window, refresh the file list by clicking on the `Refresh available files`. Then select the configuration and fasta file you want.
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### 4. <span style="color:#e98935;">Run the simulation</span>
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Press the `Run Simulation` button to start de folding Simulation. Five protein folding simulations will be performed. Unfortunately, this parameter is hard coded in Chai-1. The simulation time is expected to be from 2min to 10min depending on the molecule.
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### 5. <span style="color:#e98935;">Analyse the results of your simulation</span>
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To analyse the results of the simulation, two outputs are provided:
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- A table showing the score of the 5 folding performed
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- Interactive 3D visualization of the molecule
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Finally, you can get to the `Show molecule from a CIF file 💻` window to watch the cif files. This is mainly used to visualize CIF files after using this tool as an MCP server.
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</div>
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