コード例 #1
0
def df_to_feature(struct_df, grid_config, random_seed=None):
    pos = struct_df[['x', 'y', 'z']].astype(np.float32)
    center = util.get_center(pos)

    rot_mat = subgrid_gen.gen_rot_matrix(grid_config, random_seed=random_seed)
    grid = subgrid_gen.get_grid(
        struct_df, center, config=grid_config, rot_mat=rot_mat)
    return grid
コード例 #2
0
ファイル: feature_ppi.py プロジェクト: sailfish009/atom3d
 def __feature(struct, center):
     rot_mat = subgrid_gen.gen_rot_matrix(grid_config,
                                          random_seed=random_seed)
     grid = subgrid_gen.get_grid(struct,
                                 center,
                                 config=grid_config,
                                 rot_mat=rot_mat)
     return grid
コード例 #3
0
ファイル: feature_mut.py プロジェクト: sailfish009/atom3d
def df_to_feature(struct_df, label_info, grid_config, center_at_mut=True,
                  random_seed=None):
    mutation_center = __get_mutation_center(struct_df, label_info, center_at_mut)

    rot_mat = subgrid_gen.gen_rot_matrix(grid_config, random_seed=random_seed)
    grid = subgrid_gen.get_grid(
        struct_df, mutation_center, config=grid_config, rot_mat=rot_mat)
    return grid
コード例 #4
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def df_to_feature(struct_df, grid_config, random_seed=None):
    # Use center of ligand for subgrid center
    ligand_pos = struct_df[struct_df.chain == 'LIG'][['x', 'y',
                                                      'z']].astype(np.float32)
    ligand_center = util.get_center(ligand_pos)

    rot_mat = subgrid_gen.gen_rot_matrix(grid_config, random_seed=random_seed)
    grid = subgrid_gen.get_grid(struct_df,
                                ligand_center,
                                config=grid_config,
                                rot_mat=rot_mat)
    return grid
コード例 #5
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def df_to_feature(struct_df, grid_config, center_around_Cs, random_seed=None):
    # Consider only atoms that have mapping for computing center.
    # If <center_around_Cs> is set, consider only carbon atoms.
    if center_around_Cs:
        pruned_struct_df = struct_df[struct_df.element == 'C']
    else:
        pruned_struct_df = struct_df[struct_df.element.isin(
            grid_config.element_mapping.keys())]

    pos = pruned_struct_df[['x', 'y', 'z']].astype(np.float32)
    # Use center of ligand for subgrid center
    ligand_pos = pruned_struct_df[pruned_struct_df.chain == 'L'][[
        'x', 'y', 'z'
    ]].astype(np.float32)
    ligand_center = util.get_center(ligand_pos)

    rot_mat = subgrid_gen.gen_rot_matrix(grid_config, random_seed=random_seed)
    grid = subgrid_gen.get_grid(struct_df,
                                ligand_center,
                                config=grid_config,
                                rot_mat=rot_mat)
    return grid