Download model/pxdesign/pxd_server/server_constant.py from OneScience-Group/PXDesign: direct link, hf CLI and curl.
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https://huggingface.co/OneScience-Group/PXDesign/resolve/main/model/pxdesign/pxd_server/server_constant.py
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hf download hf://OneScience-Group/PXDesign/model/pxdesign/pxd_server/server_constant.py
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curl -L -o server_constant.py https://huggingface.co/OneScience-Group/PXDesign/resolve/main/model/pxdesign/pxd_server/server_constant.py
7.24 kB
| import os | |
| def get_information(length): | |
| if length < 60: | |
| return { | |
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| "ptx_iptm": [ | |
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| "ptx_sr": [55.7, 32.4, 11.9, 3.1, 2.3, 0.3, 33.0, 3.7, 0.0, 0.0], | |
| "ptx_temp_sr": [58.5, 50.0, 17.0, 15.9, 0.6, 0.0, 31.2, 0.6, 1.1, 0.0], | |
| "count": "Length 50-60", | |
| } | |
| elif length < 80 and length >= 60: | |
| return { | |
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| "count": "Length 60-80", | |
| } | |
| elif length < 100 and length >= 80: | |
| return { | |
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| "count": "Length 80-100", | |
| } | |
| elif length < 120 and length >= 100: | |
| return { | |
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| "count": "Length 100-120", | |
| } | |
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| return { | |
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| "count": "Length 120-140", | |
| } | |
| else: | |
| return { | |
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| "ptx_iptm": [ | |
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| "AF2_SR": [45.17, 32.95, 39.2, 10.51, 22.73, 11.36, 7.95, 19.6, 1.7, 4.26], | |
| "ptx_sr": [34.7, 18.8, 9.7, 0.6, 3.4, 0.3, 8.2, 22.4, 0.0, 0.0], | |
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| "count": "Length 140-150", | |
| } | |
| labels = [ | |
| "BHRF1", | |
| "PDL1", | |
| "IR", | |
| "TrkA", | |
| "SC2RBD", | |
| "VEGF-A", | |
| "IL7RA", | |
| "H1", | |
| "IL17A", | |
| "TNFa", | |
| ] | |
| difficulty_to_color = { | |
| "easy": "#086BFFE8", | |
| "hard": "#086BFFE8", | |
| "very_hard": "#086BFFE8", | |
| } | |
| font_path = os.path.join(os.path.dirname(__file__), "Helvetica-Regular.ttf") | |
| text_full = ( | |
| "Your submitted case is positioned at the difficulty level shown below, based on evaluations from" | |
| + " both AlphaFold2 model (initial guess) and Protenix model. If you believe the target you provided does not" | |
| + " match the expected difficulty, you may adjust the input model settings: hotspot location, binder length," | |
| + " and target file resolution." | |
| ) | |
| text_preview = ( | |
| "Your submitted case is positioned at the difficulty level shown below, based on evaluations from" | |
| + " AlphaFold2 model (initial guess). If you believe the target you provided does not" | |
| + " match the expected difficulty, you may adjust the input model settings: hotspot location, binder length," | |
| + " and target file resolution." | |
| ) | |