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Functions429 in github.com/THUNLP-MT/MEAN

↓ 2 callersMethodget_optimizer
(self)
trainer/abs_trainer.py:197
↓ 2 callersFunctionget_prio
(level)
utils/logger.py:19
↓ 2 callersFunctiongram_schmidt
(vectors)
data/pdb_utils.py:39
↓ 2 callersFunctiongrouper
Group entries of an iterable by n
data/anarci/anarci.py:155
↓ 2 callersMethodidx_to_symbol
(self, idx)
data/pdb_utils.py:120
↓ 2 callersFunctionload_file
(fpath)
data/split.py:36
↓ 2 callersFunctionmask_zero
(mask, value)
evaluation/ddg/models/common.py:21
↓ 2 callersMethodnumberChain
Number a Bio.PDB chain with a Ig or Tcr numbering scheme.
data/ImmunoPDB.py:112
↓ 2 callersFunctionnumber_chothia_light
Apply the Chothia numbering scheme for light chains Rules should be implemented using two strings - the state string and the region stri
data/anarci/schemes.py:871
↓ 2 callersFunctionparse_pdb
(path, model_id=0)
evaluation/ddg/utils/protein.py:96
↓ 2 callersFunctionpred_ddg
(wt_pdb, mut_pdb, opt_sidechain=0, n_proc=1)
evaluation/pred_ddg.py:62
↓ 2 callersFunctionpred_ddg_only
(wt_pdb, mut_pdb)
evaluation/pred_ddg.py:37
↓ 2 callersFunctionprepare_efficient_mc_att
(model, mode, data_path, batch_size)
ita_train.py:23
↓ 2 callersFunctionprint_help
evaluation/TMscore.cpp:159
↓ 2 callersFunctionprint_version
evaluation/TMscore.cpp:72
↓ 2 callersFunctionread_PDB
evaluation/TMscore.cpp:3002
↓ 2 callersFunctionread_csv
(fpath, sep=',')
utils/io.py:6
↓ 2 callersFunctionrun_hmmer
Run the sequences in sequence list against a precompiled hmm_database. Those sequence that have a significant hit with a bit score over a th
data/anarci/anarci.py:481
↓ 2 callersFunctionsequential_or
(*tensors)
models/MCAttGNN/mc_att_model.py:21
↓ 2 callersMethodset_residue_coord
(self, i, coord)
data/pdb_utils.py:278
↓ 2 callersMethodset_residue_translation
(self, i, vec)
data/pdb_utils.py:281
↓ 2 callersMethodshare_forward
(self, batch, batch_idx, _type, val=False)
trainer/mcatt_trainer.py:32
↓ 2 callersMethodsymbol_to_abrv
(self, symbol)
data/pdb_utils.py:108
↓ 2 callersMethodtrain_step
(self, batch, batch_idx)
trainer/abs_trainer.py:212
↓ 2 callersFunctionvalidate_sequence
Check whether a sequence is a protein sequence or if someone has submitted something nasty.
data/anarci/anarci.py:127
↓ 2 callersFunctionwhich
Search PATH for executable files with the given name. On newer versions of MS-Windows, the PATHEXT environment variable will be set t
data/ImmunoPDB.py:627
↓ 1 callersFunctionNWalign_main
entry function for NWalign * invmap_only - whether to return seqxA and seqyA or to return invmap * 0: only return seqxA and seqyA
evaluation/TMscore.cpp:3995
↓ 1 callersFunctionPdbSeqresIterator
Returns SeqRecord objects for each chain in a PDB file. The sequences are derived from the SEQRES lines in the PDB file header, not the atoms
data/ImmunoPDB.py:769
↓ 1 callersFunctionTMscore_main
Entry function for TM-score. Return TM-score calculation status: * 0 - full TM-score calculation * 1 - terminated due to exception * 2-7 -
evaluation/TMscore.cpp:6315
↓ 1 callersMethod__init__
(self, numbering_scheme="chothia", definition="chothia", NOT=False)
data/ImmunoPDB.py:1150
↓ 1 callersMethod__init__
(self, dataset, n_samples, _cmp=lambda score1, score2: score1 - score2)
data/dataset.py:259
↓ 1 callersMethod__init__
(self, symbol: str, coordinate: Tuple, _id: Tuple)
data/pdb_utils.py:160
↓ 1 callersMethod__init__
(self, num_neighbors=128)
evaluation/ddg/utils/data.py:97
↓ 1 callersMethod__init__
(self, node_feat_dim, pair_feat_dim, num_layers, spatial_attn_mode='CB')
evaluation/ddg/models/attention.py:241
↓ 1 callersMethod_beta_aggregation
(self, alpha, R, t, p_CB, x)
evaluation/ddg/models/attention.py:135
↓ 1 callersMethod_beta_logits
(self, R, t, p_CB)
evaluation/ddg/models/attention.py:98
↓ 1 callersMethod_cal_interface
(self)
data/pdb_utils.py:511
↓ 1 callersMethod_check_load_part
(self, idx)
data/dataset.py:108
↓ 1 callersMethod_construct_segment_ids
(self, S)
models/MCAttGNN/mc_att_model.py:43
↓ 1 callersFunction_domains_are_same
Check to see if the domains are overlapping. @param dom1: @param dom2: @return: True or False
data/anarci/anarci.py:300
↓ 1 callersMethod_extract_antibody_info
(self, peptides, numbering)
data/pdb_utils.py:448
↓ 1 callersMethod_get_pad_mask
(l, n)
evaluation/ddg/utils/data.py:45
↓ 1 callersMethod_get_version
(self)
trainer/abs_trainer.py:102
↓ 1 callersFunction_get_wolfguy_L1
Wolfguy's L1 annotation is based on recognising the length and the sequence pattern defined by a set of rules. If the length has not been cha
data/anarci/schemes.py:1576
↓ 1 callersFunction_hmm_alignment_to_states
Take a hit hsp and turn the alignment into a state vector with sequence indices
data/anarci/anarci.py:380
↓ 1 callersMethod_is_global
(self, S)
models/MCAttGNN/mc_att_model.py:40
↓ 1 callersFunction_mask_dict_recursively
(d, mask)
evaluation/ddg/utils/data.py:79
↓ 1 callersFunction_mask_list
(l, mask)
evaluation/ddg/utils/data.py:71
↓ 1 callersFunction_mask_string
(s, mask)
evaluation/ddg/utils/data.py:75
↓ 1 callersMethod_metric_better
(self, new)
trainer/abs_trainer.py:142
↓ 1 callersMethod_pad_last
(self, x, n, value=0)
evaluation/ddg/utils/data.py:17
↓ 1 callersFunction_parse_hmmer_query
@param query: hmmer query object from Biopython @param bit_score_threshold: the threshold for which to consider a hit a hit. T
data/anarci/anarci.py:314
↓ 1 callersMethod_spatial_aggregation
(self, alpha, R, t, x)
evaluation/ddg/models/attention.py:153
↓ 1 callersMethod_spatial_logits
(self, R, t, x)
evaluation/ddg/models/attention.py:106
↓ 1 callersMethod_train_epoch
(self, device)
trainer/abs_trainer.py:81
↓ 1 callersMethod_valid_epoch
(self, device)
trainer/abs_trainer.py:111
↓ 1 callersMethodabrv_to_idx
(self, abrv)
data/pdb_utils.py:112
↓ 1 callersMethodadd_regions
Add regions to the selection.
data/ImmunoPDB.py:1168
↓ 1 callersFunctionanalyse_continuity
data/ImmunoPDB.py:744
↓ 1 callersMethodannotateChainRegions
Annotate chain with regions. The loaded numbering scheme is used
data/ImmunoPDB.py:178
↓ 1 callersFunctionannotate_regions
Given a numbered sequence annotate which region each residue belongs to. The numbering scheme can be one chothia, kabat, imgt or martin
data/ImmunoPDB.py:989
↓ 1 callersFunctionapprox_TM
calculate approximate TM-score given rotation matrix */
evaluation/TMscore.cpp:5748
↓ 1 callersMethodatt_model
:param h: [bs * n_node, input_size] :param edge_index: list of [n_edge], [n_edge] :param radial: [n_edge, n_channel, n_channe
models/MCAttGNN/mc_egnn.py:166
↓ 1 callersFunctionaugmented_is_aa
(three)
evaluation/ddg/utils/protein.py:66
↓ 1 callersFunctionaugmented_three_to_index
(three)
evaluation/ddg/utils/protein.py:60
↓ 1 callersFunctionaugmented_three_to_one
(three)
evaluation/ddg/utils/protein.py:54
↓ 1 callersFunctionaverage_test
(args, model, test_set, test_loader, device)
generate.py:150
↓ 1 callersFunctioncalculate_score_gotoh
calculate dynamic programming matrix using gotoh algorithm * S - cumulative scorefor each cell * P - string representation for path *
evaluation/TMscore.cpp:3716
↓ 1 callersFunctioncheck_for_j
As the length of CDR3 gets long (over 30ish) an alignment that does not include the J region becomes more favourable. This leads to really lo
data/anarci/anarci.py:707
↓ 1 callersFunctioncompile_remarks
Compile a remark report that is parsable
data/ImmunoPDB.py:429
↓ 1 callersFunctioncompile_seqres
data/ImmunoPDB.py:459
↓ 1 callersFunctioncompute_rmsd
(a, b, aligned=False)
evaluation/rmsd.py:73
↓ 1 callersMethodconstruct_edges
Memory efficient with complexity of O(Nn) where n is the largest number of nodes in the batch
models/MCAttGNN/mc_att_model.py:55
↓ 1 callersFunctionconstruct_side_chain_coord
(pdb_dir, out_path)
data/pdb_utils.py:667
↓ 1 callersFunctionconvert_3_to_1
Converts amino acid three letter code to one letter codes. '' is returned if a coversion cannot be made.
data/ImmunoPDB.py:548
↓ 1 callersMethodcoord_model
coord: [bs * n_node, n_channel, d] edge_index: list of [n_edge], [n_edge] coord_diff: [n_edge, n_channel, d] edge_fea
models/MCAttGNN/mc_egnn.py:107
↓ 1 callersMethodcoord_model
:param coord: [bs * n_node, n_channel, d] :param edge_index: list of [n_edge], [n_edge] :param coord_diff: [n_edge, n_channel
models/MCAttGNN/mc_egnn.py:211
↓ 1 callersFunctiondownload
(items, out_path, ncpu=8, pdb_dir=None, numbering='imgt', pre_numbered=False)
data/download.py:277
↓ 1 callersFunctioneasy_alignment
Function to align two sequences by checking if one is in the other. This function will conserve gaps.
data/ImmunoPDB.py:608
↓ 1 callersMethodedge_model
:param source: [n_edge, input_size] :param target: [n_edge, input_size] :param radial: [n_edge, n_channel, n_channel]
models/MCAttGNN/mc_egnn.py:64
↓ 1 callersMethodexited
evaluation/TMscore.cpp:1866
↓ 1 callersFunctionextract_aln_from_resi
extract pairwise sequence alignment from residue index vectors, * assuming that "sequence" contains two empty strings. * return length of alignmen
evaluation/TMscore.cpp:4053
↓ 1 callersFunctionextract_sequence
Extract the sequence of the chain (amino acids only)
data/ImmunoPDB.py:533
↓ 1 callersFunctionfasta_iter
Given a fasta file. yield tuples of header, sequence https://www.biostars.org/p/710/
data/anarci/anarci.py:97
↓ 1 callersFunctionfind_highest_align_score
locate the cell with highest alignment score. reset path after * the cell to zero */
evaluation/TMscore.cpp:3669
↓ 1 callersMethodfind_pairs
Annotate the pairs of domains in the structure using the distance between the interface cysteine residue CA atoms.
data/ImmunoPDB.py:307
↓ 1 callersMethodfinish_update
(self)
data/dataset.py:275
↓ 1 callersFunctionfix_deletions
Consider the case where there is one or more missing residues flanked by identical residues: QETGGGGGGNCP QETGG-GGGNCP The align
data/ImmunoPDB.py:722
↓ 1 callersMethodforward_beta
Args: R: Frame basis matrices, (N, L, 3, 3_index). t: Frame external (absolute) coordinates, (N, L, 3).
evaluation/ddg/models/attention.py:172
↓ 1 callersMethodforward_vpoint
Args: R: Frame basis matrices, (N, L, 3, 3_index). t: Frame external (absolute) coordinates, (N, L, 3).
evaluation/ddg/models/attention.py:203
↓ 1 callersMethodgen_side_chain
automatically generate side chain according to statistics
data/pdb_utils.py:195
↓ 1 callersMethodgenerate
:param X: [n_all_node, n_channel, 3] :param S: [n_all_node] :param L: list of cdr types :param offsets: [batch_size +
models/MCAttGNN/mc_att_model.py:245
↓ 1 callersMethodgenerate
:param X: [n_all_node, n_channel, 3] :param S: [n_all_node] :param L: list of cdr types :param offsets: [batch_size +
models/MCAttGNN/mc_att_model.py:390
↓ 1 callersFunctionget_atom_name_postfix
(atom)
evaluation/ddg/utils/protein.py:76
↓ 1 callersFunctionget_edges
(n_nodes)
models/MCAttGNN/mc_egnn.py:356
↓ 1 callersFunctionget_edges_batch
(n_nodes, batch_size)
models/MCAttGNN/mc_egnn.py:368
↓ 1 callersFunctionget_hmm_length
Get the length of an hmm given a species and chain type. This tells us how many non-insertion positions there could possibly be in a domain
data/anarci/anarci.py:537
↓ 1 callersMethodget_id
(self)
data/pdb_utils.py:255
↓ 1 callersFunctionget_pos_CB
Args: pos14: (N, L, 14, 3) atom_mask: (N, L, 14)
evaluation/ddg/models/common.py:7
↓ 1 callersFunctionget_region
Get the region in which the position belongs given the chain, numbering scheme and definition. **Note** this function does not know about in
data/ImmunoPDB.py:937
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