Spaces:
Running
on
L4
Running
on
L4
Update app.py
Browse files
app.py
CHANGED
@@ -73,12 +73,15 @@ def predict(jobname, inputs, recycling_steps, sampling_steps, diffusion_samples)
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representations.append({"model":0, "chain":chain["chain"], "style":"cartoon"})
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if entity_type == "ligand":
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if "sdf" in chain.keys():
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if chain["sdf"]!="":
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raise gr.Error("Sorry no SDF support yet")
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if "name" in chain.keys():
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sequence_data[entity_type]["ccd"] = chain["name"]
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elif "smiles" in chain.keys():
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sequence_data[entity_type]["smiles"] = chain["smiles"]
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representations.append({"model":0, "chain":chain["chain"], "style":"stick", "color":"greenCarbon"})
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@@ -130,7 +133,8 @@ with gr.Blocks() as blocks:
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gr.Examples([
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["TOP7",{"chains": [{"class": "protein","sequence": "MGDIQVQVNIDDNGKNFDYTYTVTTESELQKVLNELMDYIKKQGAKRVRISITARTKKEAEKFAAILIKVFAELGYNDINVTFDGDTVTVEGQLEGGSLEHHHHHH","chain": "A"}], "covMods":[]}],
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["
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],
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inputs = [jobname, inp]
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)
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representations.append({"model":0, "chain":chain["chain"], "style":"cartoon"})
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if entity_type == "ligand":
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if "sdf" in chain.keys():
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if chain["sdf"]!="" and chain["name"]=="":
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raise gr.Error("Sorry, no SDF support yet.")
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if "name" in chain.keys() and len(chain["name"])==3:
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sequence_data[entity_type]["ccd"] = chain["name"]
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elif "smiles" in chain.keys():
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sequence_data[entity_type]["smiles"] = chain["smiles"]
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else:
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raise gr.Error("No ligand found, or not in the right format. CCD codes have 3 letters")
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representations.append({"model":0, "chain":chain["chain"], "style":"stick", "color":"greenCarbon"})
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gr.Examples([
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["TOP7",{"chains": [{"class": "protein","sequence": "MGDIQVQVNIDDNGKNFDYTYTVTTESELQKVLNELMDYIKKQGAKRVRISITARTKKEAEKFAAILIKVFAELGYNDINVTFDGDTVTVEGQLEGGSLEHHHHHH","chain": "A"}], "covMods":[]}],
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["ApixacabanBinderSmiles", {"chains": [{"class": "protein", "msa":True,"sequence": "SVKSEYAEAAAVGQEAVAVFNTMKAAFQNGDKEAVAQYLARLASLYTRHEELLNRILEKARREGNKEAVTLMNEFTATFQTGKSIFNAMVAAFKNGDDDSFESYLQALEKVTAKGETLADQIAKAL","chain": "A"}, {"class":"ligand", "smiles":"COc1ccc(cc1)n2c3c(c(n2)C(=O)N)CCN(C3=O)c4ccc(cc4)N5CCCCC5=O", "sdf":"","name":"","chain": "B"}], "covMods":[]}]
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["ApixacabanBinderCCD", {"chains": [{"class": "protein","msa":True,"sequence": "SVKSEYAEAAAVGQEAVAVFNTMKAAFQNGDKEAVAQYLARLASLYTRHEELLNRILEKARREGNKEAVTLMNEFTATFQTGKSIFNAMVAAFKNGDDDSFESYLQALEKVTAKGETLADQIAKAL","chain": "A"}, {"class":"ligand", "name":"GG2", "sdf":"",chain": "B"}], "covMods":[]}]
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],
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inputs = [jobname, inp]
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)
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