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The dataset generation failed because of a cast error
Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 512 new columns ({'143', '41', '59', '199', '415', '81', '36', '12', '196', '61', '291', '363', '327', '386', '339', '337', '292', '360', '204', '350', '404', '387', '473', '142', '320', '500', '132', '432', '131', '498', '451', '469', '479', '265', '375', '103', '241', '96', '122', '318', '270', '133', '90', '269', '287', '49', '4', '29', '319', '378', '370', '321', '329', '112', '245', '301', '426', '226', '353', '134', '91', '425', '471', '430', '119', '277', '299', '276', '236', '442', '381', '458', '44', '505', '167', '233', '449', '365', '93', '161', '459', '40', '220', '94', '38', '209', '203', '393', '463', '450', '503', '239', '228', '401', '76', '222', '395', '83', '497', '254', '208', '113', '31', '106', '317', '79', '286', '322', '74', '192', '63', '483', '128', '382', '394', '494', '308', '147', '354', '9', '193', '418', '297', '159', '392', '307', '406', '8', '77', '104', '293', '373', '168', '435', '416', '402', '289', '312', '367', '214', '249', '371', '253', '247', '466', '66', '366', '315', '259', '60', '28', '117', '152', '423', '163', '156', '335', '185', '14', '285', '37', '398', '388', '71', '379', '275', '491', '141', '84', '62', '310', '58', '343', '129', '72', '235', '100', '223', '169', '146', '305', '263', '252', '242', '34', '338', '294', '408', '68', '158', '487', '51', '25', '23', '237', '496', '184', '331', '478', '405', '80', '511', '400', '1', '311', '123', '345', '149', '172', '414', '328', '495', '140', '70', '101', '107', '229', '256', '499', '377', '121', 
...
68', '467', '114', '52', '362', '43', '506', '391', '390', '389', '176', '35', '190', '324', '284', '440', '187', '380', '162', '3', '465', '427', '272', '346', '99', '475', '420', '437', '10', '191', '67', '139', '181', '349', '504', '110', '251', '26', '271', '246', '290', '212', '186', '434', '135', '97', '20', '248', '240', '493', '111', '17', '98', '33', '78', '174', '227', '488', '88', '453', '452', '160', '278', '281', '22', '342', '125', '7', '455', '144', '428', '87', '474', '18', '439', '178', '182', '306', '383', '216', '24', '21', '30', '47', '150', '54', '215', '202', '492', '424', '336', '268', '300', '2', '243', '330', '177', '489', '232', '443', '207', '302', '250', '376', '120', '92', '385', '11', '211', '309', '355', '262', '413', '50', '82', '198', '447', '486', '509', '461', '102', '225', '348', '231', '314', '127', '421', '477', '42', '410', '75', '313', '213', '482', '188', '89', '296', '85', '431', '359', '374', '333', '403', '325', '48', '115', '357', '95', '179', '283', '205', '446', '502', '476', '234', '180', '15', '384', '267', '334', '397', '166', '194', '462', '27', '361', '238', '39', '407', '65', '257', '157', '201', '155', '364', '224', '32', '55', '255', '145', '369', '444', '508', '230', '412', '472', '183', '210', '46', '126', '171', '436', '218', '64', '260', '13', '457', '273', '244', '173', '195', '197', '464', '19', '445', '358', '164', '69', '303', '344', '352', '399', '86', '138', '411', '45', '356', '206', '441', '351', '151', '130'}) and 4 missing columns ({'logp', 'canonical_smiles', 'mw', 'length'}).

This happened while the csv dataset builder was generating data using

hf://datasets/introvoyz041/cheminformatics/data/cuchem/cuchem/data/fingerprints_zinc15_test.csv (at revision d9386929173208809029429aaf902f757ab30a88)

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1871, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 643, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2293, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2241, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              index: int64
              0: double
              1: double
              2: double
              3: double
              4: double
              5: double
              6: double
              7: double
              8: double
              9: double
              10: double
              11: double
              12: double
              13: double
              14: double
              15: double
              16: double
              17: double
              18: double
              19: double
              20: double
              21: double
              22: double
              23: double
              24: double
              25: double
              26: double
              27: double
              28: double
              29: double
              30: double
              31: double
              32: double
              33: double
              34: double
              35: double
              36: double
              37: double
              38: double
              39: double
              40: double
              41: double
              42: double
              43: double
              44: double
              45: double
              46: double
              47: double
              48: double
              49: double
              50: double
              51: double
              52: double
              53: double
              54: double
              55: double
              56: double
              57: double
              58: double
              59: double
              60: double
              61: double
              62: double
              63: double
              64: double
              65: double
              66: double
              67: double
              68: double
              69: double
              70: double
              71: double
              72: double
              73: double
              74: double
              75: double
              76: double
              77: double
              78: double
              79: double
              80: double
              81: double
              82: double
              83: double
              84: double
              85: double
              86: double
              87: double
              88: double
              89: double
              90: double
              91: double
              92: double
              93: double
              94: double
              95: double
              96: double
              97: double
              98: double
              99: double
              100: double
              101: double
              102: double
              103: double
              104: double
              105: double
              106: double
              107: double
              108: double
              109: double
              110: double
              111: double
              112: double
              113: double
              114: double
              115: double
              116: double
              117: double
              118: double
              119: double
              120: double
              121: double
              122: double
              123: double
              124: double
              125: double
              126: double
              127: double
              128: double
              129: double
              130: double
              131: double
              132: double
              1
              ...
              ble
              396: double
              397: double
              398: double
              399: double
              400: double
              401: double
              402: double
              403: double
              404: double
              405: double
              406: double
              407: double
              408: double
              409: double
              410: double
              411: double
              412: double
              413: double
              414: double
              415: double
              416: double
              417: double
              418: double
              419: double
              420: double
              421: double
              422: double
              423: double
              424: double
              425: double
              426: double
              427: double
              428: double
              429: double
              430: double
              431: double
              432: double
              433: double
              434: double
              435: double
              436: double
              437: double
              438: double
              439: double
              440: double
              441: double
              442: double
              443: double
              444: double
              445: double
              446: double
              447: double
              448: double
              449: double
              450: double
              451: double
              452: double
              453: double
              454: double
              455: double
              456: double
              457: double
              458: double
              459: double
              460: double
              461: double
              462: double
              463: double
              464: double
              465: double
              466: double
              467: double
              468: double
              469: double
              470: double
              471: double
              472: double
              473: double
              474: double
              475: double
              476: double
              477: double
              478: double
              479: double
              480: double
              481: double
              482: double
              483: double
              484: double
              485: double
              486: double
              487: double
              488: double
              489: double
              490: double
              491: double
              492: double
              493: double
              494: double
              495: double
              496: double
              497: double
              498: double
              499: double
              500: double
              501: double
              502: double
              503: double
              504: double
              505: double
              506: double
              507: double
              508: double
              509: double
              510: double
              511: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 54934
              to
              {'index': Value(dtype='int64', id=None), 'canonical_smiles': Value(dtype='string', id=None), 'length': Value(dtype='int64', id=None), 'logp': Value(dtype='float64', id=None), 'mw': Value(dtype='float64', id=None)}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1436, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1053, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 925, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1001, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1742, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1873, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 512 new columns ({'143', '41', '59', '199', '415', '81', '36', '12', '196', '61', '291', '363', '327', '386', '339', '337', '292', '360', '204', '350', '404', '387', '473', '142', '320', '500', '132', '432', '131', '498', '451', '469', '479', '265', '375', '103', '241', '96', '122', '318', '270', '133', '90', '269', '287', '49', '4', '29', '319', '378', '370', '321', '329', '112', '245', '301', '426', '226', '353', '134', '91', '425', '471', '430', '119', '277', '299', '276', '236', '442', '381', '458', '44', '505', '167', '233', '449', '365', '93', '161', '459', '40', '220', '94', '38', '209', '203', '393', '463', '450', '503', '239', '228', '401', '76', '222', '395', '83', '497', '254', '208', '113', '31', '106', '317', '79', '286', '322', '74', '192', '63', '483', '128', '382', '394', '494', '308', '147', '354', '9', '193', '418', '297', '159', '392', '307', '406', '8', '77', '104', '293', '373', '168', '435', '416', '402', '289', '312', '367', '214', '249', '371', '253', '247', '466', '66', '366', '315', '259', '60', '28', '117', '152', '423', '163', '156', '335', '185', '14', '285', '37', '398', '388', '71', '379', '275', '491', '141', '84', '62', '310', '58', '343', '129', '72', '235', '100', '223', '169', '146', '305', '263', '252', '242', '34', '338', '294', '408', '68', '158', '487', '51', '25', '23', '237', '496', '184', '331', '478', '405', '80', '511', '400', '1', '311', '123', '345', '149', '172', '414', '328', '495', '140', '70', '101', '107', '229', '256', '499', '377', '121', 
              ...
              68', '467', '114', '52', '362', '43', '506', '391', '390', '389', '176', '35', '190', '324', '284', '440', '187', '380', '162', '3', '465', '427', '272', '346', '99', '475', '420', '437', '10', '191', '67', '139', '181', '349', '504', '110', '251', '26', '271', '246', '290', '212', '186', '434', '135', '97', '20', '248', '240', '493', '111', '17', '98', '33', '78', '174', '227', '488', '88', '453', '452', '160', '278', '281', '22', '342', '125', '7', '455', '144', '428', '87', '474', '18', '439', '178', '182', '306', '383', '216', '24', '21', '30', '47', '150', '54', '215', '202', '492', '424', '336', '268', '300', '2', '243', '330', '177', '489', '232', '443', '207', '302', '250', '376', '120', '92', '385', '11', '211', '309', '355', '262', '413', '50', '82', '198', '447', '486', '509', '461', '102', '225', '348', '231', '314', '127', '421', '477', '42', '410', '75', '313', '213', '482', '188', '89', '296', '85', '431', '359', '374', '333', '403', '325', '48', '115', '357', '95', '179', '283', '205', '446', '502', '476', '234', '180', '15', '384', '267', '334', '397', '166', '194', '462', '27', '361', '238', '39', '407', '65', '257', '157', '201', '155', '364', '224', '32', '55', '255', '145', '369', '444', '508', '230', '412', '472', '183', '210', '46', '126', '171', '436', '218', '64', '260', '13', '457', '273', '244', '173', '195', '197', '464', '19', '445', '358', '164', '69', '303', '344', '352', '399', '86', '138', '411', '45', '356', '206', '441', '351', '151', '130'}) and 4 missing columns ({'logp', 'canonical_smiles', 'mw', 'length'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/introvoyz041/cheminformatics/data/cuchem/cuchem/data/fingerprints_zinc15_test.csv (at revision d9386929173208809029429aaf902f757ab30a88)
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

index
int64
canonical_smiles
string
length
int64
logp
float64
mw
float64
0
Cn1c(CN2CC(NC(=O)[C@@H]3CC34CCCC4)C2)cc(=O)n(C)c1=O
51
-0.0353
346.200491
1
CCCC[C@@](C)(F)C(=O)N(C)C1CCN(C(=O)c2nc[nH]n2)CC1
49
1.7861
339.207053
2
C[C@H](C(=O)O)N(C)C(=O)C[C@H]1COCC[C@H]1NC(=O)OCC1c2ccccc2-c2ccccc21
68
3.2518
466.210387
3
O=C(NCCc1ccc(F)cc1Cl)C1CCN(C(=O)/C=C/c2ccccc2)CC1
49
4.0898
414.151034
4
CC(C)C[C@@H](NC(=O)Cc1cnn(C)c1)C(=O)Nc1cc[nH]n1
47
0.8553
318.180424
5
CCCN(C)c1nnc([C@@H](C)Oc2cccc(C)c2C)n1CCCOC
43
3.91764
360.252526
6
CC[C@@H](NCc1ccnn1C)C(C)(C)O
28
1.0592
211.168462
7
COC(=O)c1cnc(NC(=O)C[C@@H]2CCC[C@@H](C)C2)c(Cl)c1
49
3.6765
324.12407
8
CCCC(=O)N1CCC(C2(NC(=O)CN3C(=O)CCC3=O)CC2)CC1
45
0.8229
349.200156
9
NC(=O)[C@H]1CC[C@@H](NC(=O)NCCC[C@@H]2CCOC2)C1
46
0.7563
283.189592
10
CO[C@@H](CS(=O)(=O)N1CCSC[C@@H]1CC(=O)O)C1CCCCC1
48
1.8036
365.133065
11
CC1(C)CC(NC(=O)N2C[C@@H](CO)[C@H](C(F)(F)F)C2)C1
48
1.9872
294.155513
12
CN(C(=O)/C=C\c1ccccc1)C1(C#N)CCCCC1
35
3.38468
268.157563
13
CN(c1nnc([C@@H]2CN(S(C)(=O)=O)CCO2)n1Cc1cccc(F)c1)[C@H]1CCOC1
61
1.0235
439.168954
14
CC(C)(C)C1CCC(CNC(=O)N2CCO[C@@H]3C[C@H]32)CC1
45
3.0216
294.230728
15
C[C@H]1CCN(CC(=O)NC[C@]2(O)CCN(CCOCCO)C2)C1
43
-1.1099
329.231456
16
O=C(OC[C@@H]1CCN1C1CCOCC1)c1cccn2nccc12
39
1.7444
315.158292
17
C=C(C)[C@@H]1OCC[C@@H]1C(=O)NC/C=C\CNC(=O)[C@H]1CCN(C)C1=O
58
0.2345
349.200156
18
CC(=O)Nc1cccc([C@H](C)NC(=O)C[C@@H](N)c2ccccc2)c1
49
2.9123
325.179027
19
CO[C@H](CCN)C(=O)NCC[C@@H]1CCCS1(=O)=O
38
-0.5663
278.130028
20
CC(C)NC(=O)NCCN(C)C[C@@H](C)NC(=O)C[C@@H]1CCNC1=O
49
-0.3433
341.24269
21
COCC(=O)N1CC[C@H]2CCN(C(=O)c3scnc3Cl)C[C@H]21
45
1.5059
343.07574
22
CN(C)c1ccc(Cn2c(COc3ccc(C#N)cc3)nnc2N(C)Cc2ncc(Cl)n2C)cn1
57
3.26138
491.194884
23
CSCC[C@@H](NC(=O)c1cccc(C)c1)C(=O)NCC[C@H]1CCCN(C)C1
52
2.69462
391.229348
24
C[C@H](C(=O)N[C@H](C)[C@@H]1Oc2ccccc2[C@@H]1C)c1ccccc1F
55
3.9986
327.163457
25
CC(=O)c1ccc(OC(=O)c2ccc(Cn3cc(Br)cn3)cc2)cc1
44
4.1157
398.026604
26
CN1CCC(Oc2ccc(NC(=O)Cc3ccc(F)cc3Cl)cc2)CC1
42
4.1333
376.135384
27
CC[C@@H](CNC(=O)[C@H]1CC(=O)N(CCN(C)C)C1)Oc1cccc(C)c1
53
1.67872
361.236542
28
Cc1nnc(N2CC[C@@H](C(C)C)C2)n1C[C@H]1OCCC1(C)C
45
2.88392
306.241962
29
CC[C@H](CNC(=O)c1cncnc1C(C)C)NCc1cccnc1
39
2.2932
327.20591
30
COC(=O)c1cccc(NC(=O)[C@@H]2CCc3cc(Br)ccc32)c1OC
47
3.9128
403.04192
31
Cc1cc(CN(C)C[C@@H](C)NC(=O)C(C)(C)C(F)F)no1
43
2.21082
303.175833
32
CC(C)C[C@H](NC(=O)N[C@@H]1CCc2ncc(Br)n2C1)c1ccccc1
50
4.047
404.121174
33
CCn1cc([C@H](C)N[C@@H](C)CCc2cccc(C(F)(F)F)c2)cn1
49
4.5937
339.192232
34
COC(=O)[C@H]1Cc2ccccc2CN1C(=O)CN1CCC(N2CCN(C(C)C)CC2)CC1
56
1.6033
442.294391
35
CCSCC[C@H](C)N[C@H](C)c1ccc2c(c1)OCC(=O)N2
42
3.1998
308.155849
36
CCC(CC)(Cn1c(-c2cccc(C)n2)nnc1N1CCCN(C(C)=O)CC1)OC
50
2.91232
414.274324
37
C[C@H](NC[C@H]1CCNC(=O)CC1)c1ccc(-c2cccc(-c3nn[nH]n3)c2)cc1
59
3.1006
390.216809
38
CC[C@@H](CNC(=O)CCc1ccccn1)NC(=O)[C@H](C)C(C)(F)F
49
2.3165
341.191483
39
C[C@@H](CNC(=O)CCN(C)C)NC(=O)c1cc2ncccc2o1
42
1.014
318.169191
40
CCCNC(=O)CN1CCC(NC(=O)Nc2ccc(NC(=O)CN3CCOCC3)cc2)CC1
52
1.0694
460.279804
41
O=C(NCc1ncccc1F)C(=O)N[C@H]1C[C@H](c2ccc(C(F)(F)F)cc2)C1
56
2.9181
395.12569
42
CCCn1nc(C)cc1-c1cnc(C)c(C(=O)OC)c1
34
2.75854
273.147727
43
Cn1ncc(C(F)(F)F)c1CNC(=O)c1cc(N2CCCC2=O)cc(C(F)(F)F)c1
54
3.5145
434.117745
44
Cn1cccc1-c1nnc(N2CCC[C@H](c3cc4ccccc4[nH]3)C2)n1C[C@@H]1CCCCO1
62
4.718
444.26376
45
C[C@@H]1[C@H](C(=O)O)CCN1S(=O)(=O)CCc1c(F)cccc1F
48
1.6321
333.084635
46
O=C(O)c1ncoc1CCC(=O)N(Cc1ccc2c(c1)OCO2)c1ccccc1
47
3.2675
394.116486
47
COC[C@@H]1CCN(C(=O)C(=O)NCC[C@H]2C[C@H](C)O[C@H](C)C2)C1
56
1.1912
326.220557
48
CN(C)C1(CNC(=O)Cn2cc3ccccc3n2)CCCCCC1
37
2.8071
328.226312
49
CC(C)(C)NC(=O)[C@H]1CCCN1C(=O)CCCN1C(=O)CNC1=O
46
0.2241
338.195405
50
CN(C(=O)Cc1cnn(C)c1)[C@@H]1CCN(C(=O)[C@@H]2CCC(=O)NC2)C1
56
-0.4519
347.19574
51
CC(C)NS(=O)(=O)CCNC(=O)Nc1nc2c(s1)CCC2
38
1.0811
332.097683
52
CO[C@@](C)(C(=O)N1[C@H]2CC[C@@H]1C[C@H](NC(=O)c1cncn1C)C2)c1cccc2ccccc12
72
3.3869
446.231791
53
O=C(NC[C@@]12CCCO[C@@H]1CCN(C(=O)c1cocn1)C2)[C@H](F)Br
54
1.4926
403.054296
54
CCO[C@H](C(=O)N1CCC[C@H](C2CCCC2)C1)C1CC1
41
3.2303
279.219829
55
COc1cccc(-n2nc(C)c([C@H]3COCCN3C(=O)c3cc(F)ccc3OC)c2C)c1
56
3.85914
439.190735
56
CCOCCC(=O)N[C@@]1(C)CCN(C(=O)c2cc3n(n2)CCCC3)C1
47
1.3668
348.216141
57
Cc1nc(C(=O)NCCNC(=O)Cc2cc(F)ccc2F)co1
37
1.34992
323.108148
58
CC[C@H](N)c1ccccc1N1CCSC[C@H]1CO
32
2.0105
266.145284
59
CCc1cc(CCCn2nnc3cc(C)ccc3c2=O)on1
33
2.28312
298.142976
60
COC(=O)NCC(=O)N1CCCC[C@H]1c1cc(NC(=O)c2cc3cn[nH]c3cn2)n[nH]1
60
1.3429
426.176401
61
CC[C@@H](CNC(=O)[C@]1(C)CCNC1=O)NC(=O)COc1cccnc1
48
-0.0024
348.179755
62
OC[C@@H](NC[C@@H](O)COCc1ccccc1)c1cccc(Cl)c1
44
2.5407
335.128821
63
Cc1cccc(C)c1NC(=O)C(=O)N1CCCC12CN(C(=O)c1cn(C)cc1C(F)(F)F)C2
60
3.11644
462.187875
64
C[C@@H](OC(=O)C1(c2ccccc2)CC(=O)C1)C(=O)Nc1c(F)c(F)c(F)c(F)c1F
62
3.5532
427.084299
65
COC1CCC(CNC(=O)N[C@@H](C)c2cnccc2C)CC1
38
2.95542
305.210327
66
N[C@H]1C[C@H](CNC(=O)N2CC[C@@H](NC(=O)NC3CC3)C2)C1
50
-0.0308
295.200825
67
C=CCCOC(=O)c1nn(-c2ccccc2F)c(C)cc1=O
36
2.41292
302.106671
68
O=C(NC[C@H]1CC[C@H](NC(=O)C2(C(F)F)CC2)CC1)[C@@H]1CC12CC2
57
2.623
340.196235
69
C[C@@H](OCc1ccccc1)[C@H](NC(=O)c1cscc1Br)C(=O)O
47
3.2989
396.998341
70
C=CCc1ccc(OC[C@@H](O)CN2CCC[C@H](S(N)(=O)=O)C2)c(OC)c1
54
0.9163
384.171893
71
CC(C)C(=O)N[C@H]1CCCN(C(=O)[C@H](C)c2cncnc2)C1
46
1.3433
304.189926
72
c1cc(-c2cncc(-c3ccc(N4CCCCC4)nc3)c2)ccn1
40
4.1959
316.168797
73
Cc1ccc([C@H](NC(=O)N[C@H](c2ccccc2)C2CC2)c2ccccn2)cc1
53
4.92992
371.199762
74
Cn1nc([C@H]2CCCO2)cc1NC(=O)C1(C2CCCCC2)CCCCC1
45
4.7409
359.257277
75
C=CCCN1CC[C@H](NC(=O)Cn2ncn(C)c2=O)[C@@H](O)C1
46
-1.2907
309.18009
76
O=C(C(=O)N1CCCC2(C1)OCCO2)N1CC[C@@H](CF)C1
42
0.1699
300.148535
77
COc1ccc(C)cc1NC(=O)[C@@H]1CCCN1C(=O)c1ccco1
43
2.83992
328.142307
78
CCC(C)(CC)C(=O)N[C@@H]1CCN(c2nc(C)nc(C)c2C)C[C@H]1O
51
2.28396
348.252526
79
COc1ccc(C(=O)N[C@@]2(C)CN3CCC2CC3)cc1S(=O)(=O)NC1CC1
52
1.35
393.172227
80
COC(=O)c1ncc(Nc2cc(I)c(C)cn2)cn1
32
2.31482
369.992674
81
C[C@H]1OCC[C@@]1(C)NC(=O)c1csc(O)n1
35
1.146
242.072513
82
CC[C@@H](C)[C@H](C(=O)NCc1ccn(C)n1)c1ccccc1
43
2.8662
285.184112
83
Cc1cc(C)c2cc(C(=O)N3C[C@@H](C)[C@@H](CNC(C)C)C3)[nH]c2c1
56
3.49084
327.231063
84
CC(C)CC(=O)OCn1cc(-c2nn[nH]n2)c(=O)c2ccccc21
44
1.7284
327.133139
85
C=CCOCC1(CNCC)CCC(C)CC1
23
2.995
225.209264
86
Cc1ncc(CC(=O)N2CC(N(C)C(=O)c3ncoc3C)C2)o1
41
0.80494
318.132805
87
Cc1ccc(-c2cnc(COc3ccc(C#N)cc3)o2)cc1
36
4.1007
290.105528
88
COC(=O)[C@H](NC(=O)CCCC[C@@H]1SC[C@@H]2NC(=O)N[C@@H]12)C(C)(C)C
63
1.4161
371.187877
89
C[C@@H]1CCCC[C@H]1OCCn1c(N2CCC[C@H](c3ccnn3C)C2)nnc1C(C)(C)C
60
4.2884
428.32636
90
O=C(NC[C@H]1CCC[C@@H](O)C1)Nc1ccc2oc(C(=O)O)cc2c1
49
2.8036
332.137222
91
CO[C@@H]1CN([C@@H](C)C(=O)NCC(C)C)C[C@H]1NC(=O)c1cn[nH]c1
57
-0.0006
337.21139
92
CC(C)c1nc([C@@H](C)NC(=O)C(=O)Nc2ccnn2Cc2ccsc2)n[nH]1
53
2.0503
387.147744
93
C[C@H](C(=O)NCC[C@@H](C)NC(=O)C=C1CCCCC1)c1ccco1
48
3.2846
332.209993
94
CCc1nc([C@H](C)N(C)[C@@H]2CCN(C(=O)CCN(C)C)C2)n[nH]1
52
0.9125
322.24811
95
CC(C)(C)OC(=O)Nc1cccc(CN2C[C@H](C(N)=O)[C@@H](C(N)=O)C2)c1
58
1.0522
362.195405
96
O=C1C[C@H](C(F)(F)F)N(C(=O)COC(=O)c2cccc(NC(=O)NC3CC3)c2)c2ccccc2N1
67
3.4336
490.146404
97
C/C(=C\C(=O)N[C@H](C)CN(C)C(=O)c1ocnc1C)C1CC1
45
1.91602
305.173942
98
CC(C)(C)[C@@H](NS(C)(=O)=O)C(=O)NC[C@H](O)c1ccccc1Br
52
1.5626
406.05619
99
CC1(C)CN(C(=O)C(=O)N[C@H]2CCN(c3ccc(F)cc3F)C2)CC(C)(C)O1
56
2.0757
395.202048
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