added avg affinity and stability cols with mask for avg affinity
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parent
e03ce277b7
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56b71c6ca2
2 changed files with 51 additions and 5 deletions
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@ -436,7 +436,7 @@ def getmldata(gene, drug
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if gene.lower() in geneL_basic:
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#X_stabilityN = common_cols_stabiltyN
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gene_affinity_colnames = []# not needed as its the common ones
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cols_to_mask = ['ligand_affinity_change']
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cols_to_mask = ['ligand_affinity_change', 'avg_lig_affinity']
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cols_to_mask_ppi2 = []
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cols_to_mask_na = []
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@ -444,7 +444,7 @@ def getmldata(gene, drug
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gene_affinity_colnames = ['mcsm_ppi2_affinity', 'interface_dist']
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#X_stabilityN = common_cols_stabiltyN + geneL_ppi2_st_cols
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#cols_to_mask = ['ligand_affinity_change', 'mcsm_ppi2_affinity']
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cols_to_mask = ['ligand_affinity_change']
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cols_to_mask = ['ligand_affinity_change', 'avg_lig_affinity']
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cols_to_mask_ppi2 = ['mcsm_ppi2_affinity']
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cols_to_mask_na = []
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@ -452,7 +452,7 @@ def getmldata(gene, drug
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if gene.lower() in geneL_na:
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gene_affinity_colnames = ['mcsm_na_affinity', 'nca_distance']
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#X_stabilityN = common_cols_stabiltyN + geneL_na_st_cols
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cols_to_mask = ['ligand_affinity_change']#, 'mcsm_na_affinity']
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cols_to_mask = ['ligand_affinity_change', 'avg_lig_affinity']
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cols_to_mask_ppi2 = []
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cols_to_mask_na = ['mcsm_na_affinity']
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@ -461,7 +461,7 @@ def getmldata(gene, drug
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gene_affinity_colnames = ['mcsm_na_affinity','nca_distance', 'mcsm_ppi2_affinity', 'interface_dist']
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#X_stabilityN = common_cols_stabiltyN + geneL_na_ppi2_st_cols
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#cols_to_mask = ['ligand_affinity_change', 'mcsm_na_affinity', 'mcsm_ppi2_affinity']
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cols_to_mask = ['ligand_affinity_change']#, 'mcsm_na_affinity']
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cols_to_mask = ['ligand_affinity_change', 'avg_lig_affinity']
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cols_to_mask_ppi2 = ['mcsm_ppi2_affinity']
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cols_to_mask_na = ['mcsm_na_affinity']
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@ -530,6 +530,7 @@ def getmldata(gene, drug
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, 'ddg_foldx'
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, 'deepddg'
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, 'ddg_dynamut2'
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, 'avg_stability' # NEW
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, 'contacts']
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#--------
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# FoldX
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@ -549,7 +550,8 @@ def getmldata(gene, drug
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#===================
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common_affinity_Fnum = ['ligand_distance'
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, 'ligand_affinity_change'
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, 'mmcsm_lig']
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, 'mmcsm_lig'
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, 'avg_lig_affinity'] # NEW
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# if gene.lower() in geneL_basic:
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# X_affinityFN = common_affinity_Fnum
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@ -5,10 +5,54 @@ Created on Thu Sep 1 12:22:27 2022
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@author: tanu
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"""
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getmldata(gene = "alr"
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, drug = "cycloserine"
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, data_combined_model = False
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, use_or = False
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, omit_all_genomic_features = False
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, write_maskfile = True
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, write_outfile = False)
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getmldata(gene = "embB"
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, drug = "ethambutol"
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, data_combined_model = False
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, use_or = False
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, omit_all_genomic_features = False
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, write_maskfile = True
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, write_outfile = False)
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getmldata(gene = "gid"
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, drug = "streptomycin"
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, data_combined_model = False
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, use_or = False
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, omit_all_genomic_features = False
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, write_maskfile = True
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, write_outfile = False)
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getmldata(gene = "katG"
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, drug = "isoniazid"
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, data_combined_model = False
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, use_or = False
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, omit_all_genomic_features = False
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, write_maskfile = True
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, write_outfile = False)
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getmldata(gene = "rpoB"
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, drug = "rifampicin"
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, data_combined_model = False
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, use_or = False
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, omit_all_genomic_features = False
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, write_maskfile = True
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, write_outfile = False)
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getmldata(gene = "pncA"
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, drug = "pyrazinamide"
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, data_combined_model = False
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, use_or = False
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, omit_all_genomic_features = False
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, write_maskfile = True
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, write_outfile = False)
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