Structure

Physi-Chem Properties

Molecular Weight:  420.24
Volume:  432.699
LogP:  0.519
LogD:  1.426
LogS:  -2.35
# Rotatable Bonds:  7
TPSA:  132.51
# H-Bond Aceptor:  9
# H-Bond Donor:  5
# Rings:  1
# Heavy Atoms:  9

MedChem Properties

QED Drug-Likeness Score:  0.261
Synthetic Accessibility Score:  4.552
Fsp3:  0.429
Lipinski Rule-of-5:  Accepted
Pfizer Rule:  Accepted
GSK Rule:  Rejected
BMS Rule:  2
Golden Triangle Rule:  Accepted
Chelating Alert:  0
PAINS Alert:  0

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:  -5.241
MDCK Permeability:  2.3198042526928475e-06
Pgp-inhibitor:  0.002
Pgp-substrate:  0.956
Human Intestinal Absorption (HIA):  0.029
20% Bioavailability (F20%):  0.004
30% Bioavailability (F30%):  0.026

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.167
Plasma Protein Binding (PPB):  90.2222671508789%
Volume Distribution (VD):  1.395
Pgp-substrate:  10.39084529876709%

ADMET: Metabolism

CYP1A2-inhibitor:  0.036
CYP1A2-substrate:  0.772
CYP2C19-inhibitor:  0.061
CYP2C19-substrate:  0.063
CYP2C9-inhibitor:  0.047
CYP2C9-substrate:  0.851
CYP2D6-inhibitor:  0.015
CYP2D6-substrate:  0.464
CYP3A4-inhibitor:  0.014
CYP3A4-substrate:  0.139

ADMET: Excretion

Clearance (CL):  3.356
Half-life (T1/2):  0.857

ADMET: Toxicity

hERG Blockers:  0.004
Human Hepatotoxicity (H-HT):  0.235
Drug-inuced Liver Injury (DILI):  0.15
AMES Toxicity:  0.315
Rat Oral Acute Toxicity:  0.214
Maximum Recommended Daily Dose:  0.838
Skin Sensitization:  0.11
Carcinogencity:  0.77
Eye Corrosion:  0.003
Eye Irritation:  0.019
Respiratory Toxicity:  0.852

Download Data

Data Type Select
General Info & Identifiers & Properties  
Structure MOL file  
Source Organisms  
Biological Activities  
Similar NPs/Drugs  

  Natural Product: NPC155230

Natural Product ID:  NPC155230
Common Name*:   Sclerotiotide F
IUPAC Name:   (2E,4E)-6-oxo-N-[(3S,6S,9S)-3,4,7-trimethyl-2,5,8-trioxo-6-propan-2-yl-1,4,7-triazacyclododec-9-yl]hexa-2,4-dienamide
Synonyms:   sclerotiotide F
Standard InCHIKey:  KPPYRCDQUDIYQD-CAYKZORVSA-N
Standard InCHI:  InChI=1S/C21H32N4O5/c1-14(2)18-21(30)24(4)15(3)19(28)22-12-9-10-16(20(29)25(18)5)23-17(27)11-7-6-8-13-26/h6-8,11,13-16,18H,9-10,12H2,1-5H3,(H,22,28)(H,23,27)/b8-6+,11-7+/t15-,16-,18-/m0/s1
SMILES:  O=C/C=C/C=C/C(=N[C@H]1CCCN=C(O)[C@@H](N(C(=O)[C@@H](N(C1=O)C)C(C)C)C)C)O
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   CHEMBL1164758
PubChem CID:   46850006
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0000064] Macrolactams

*Note: the InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
**Note: the Chemical Classification was calculated by NPClassifier Version 1.5. Reference: PMID:34662515.

  Species Source

Organism ID Organism Name Taxonomy Level Family SuperKingdom Isolation Part Collection Location Collection Time Reference
NPO33363 aspergillus sclerotiorum pt06-1 Species Aspergillaceae Eukaryota n.a. n.a. n.a. PMID[20503985]

☑ Note for Reference:
In addition to directly collecting NP source organism data from primary literature (where reference will provided as NCBI PMID or DOI links), NPASS also integrated them from below databases:
UNPD: Universal Natural Products Database [PMID: 23638153].
StreptomeDB: a database of streptomycetes natural products [PMID: 33051671].
TM-MC: a database of medicinal materials and chemical compounds in Northeast Asian traditional medicine [PMID: 26156871].
TCM@Taiwan: a Traditional Chinese Medicine database [PMID: 21253603].
TCMID: a Traditional Chinese Medicine database [PMID: 29106634].
TCMSP: The traditional Chinese medicine systems pharmacology database and analysis platform [PMID: 24735618].
HerDing: a herb recommendation system to treat diseases using genes and chemicals [PMID: 26980517].
MetaboLights: a metabolomics database [PMID: 27010336].
FooDB: a database of constituents, chemistry and biology of food species [www.foodb.ca].

  NP Quantity Composition/Concentration

Organism ID NP ID Organism Material Preparation Organism Part NP Quantity (Standard) NP Quantity (Minimum) NP Quantity (Maximum) Quantity Unit Reference

☑ Note for Reference:
In addition to directly collecting NP quantitative data from primary literature (where reference will provided as NCBI PMID or DOI links), NPASS also integrated NP quantitative records for specific NP domains (e.g., NPS from foods or herbs) from domain-specific databases. These databases include:
DUKE: Dr. Duke's Phytochemical and Ethnobotanical Databases.
PHENOL EXPLORER: is the first comprehensive database on polyphenol content in foods [PMID: 24103452], its homepage can be accessed at here.
FooDB: a database of constituents, chemistry and biology of food species [www.foodb.ca].

  Biological Activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference
NPT20 Organism Candida albicans Candida albicans MIC = 30000.0 nM PMID[544004]

☑ Note for Activity Records:
☉ The quantitative biological activities were primarily integrated from ChEMBL (Version-30) database and were also directly collected from PubMed literature. PubMed PMID was provided as the reference link for each activity record.

  Chemically structural similarity: I. Similar Active Natural Products in NPASS

Top-200 similar NPs were calculated against the active-NP-set (includes 4,3285 NPs with experimentally-derived bioactivity available in NPASS)

Similarity level is defined by Tanimoto coefficient (Tc) between two molecules. Tc lies between [0, 1] where '1' indicates the highest similarity. What is Tanimoto coefficient

●  The left chart: Distribution of similarity level between NPC155230 and all remaining natural products in the NPASS database.
●  The right table: Most similar natural products (Tc>=0.56 or Top200).

Similarity Score Similarity Level Natural Product ID
0.9146 High Similarity NPC284456
0.8916 High Similarity NPC6902
0.8471 Intermediate Similarity NPC184473
0.828 Intermediate Similarity NPC469739
0.7158 Intermediate Similarity NPC473495
0.6634 Remote Similarity NPC38172
0.6549 Remote Similarity NPC103391
0.6549 Remote Similarity NPC472536
0.6455 Remote Similarity NPC207820
0.6449 Remote Similarity NPC475149
0.6449 Remote Similarity NPC471097
0.6422 Remote Similarity NPC476876
0.6415 Remote Similarity NPC13175
0.6415 Remote Similarity NPC475791
0.6383 Remote Similarity NPC31756
0.6354 Remote Similarity NPC84128
0.6354 Remote Similarity NPC53858
0.6321 Remote Similarity NPC475758
0.6316 Remote Similarity NPC476243
0.6316 Remote Similarity NPC476156
0.6316 Remote Similarity NPC476137
0.6316 Remote Similarity NPC476117
0.6306 Remote Similarity NPC171734
0.625 Remote Similarity NPC23984
0.625 Remote Similarity NPC476302
0.6239 Remote Similarity NPC239357
0.6239 Remote Similarity NPC476877
0.6224 Remote Similarity NPC472351
0.6195 Remote Similarity NPC251122
0.614 Remote Similarity NPC476875
0.6122 Remote Similarity NPC235078
0.6117 Remote Similarity NPC474576
0.6083 Remote Similarity NPC315188
0.6068 Remote Similarity NPC296043
0.6058 Remote Similarity NPC62263
0.6058 Remote Similarity NPC471098
0.6058 Remote Similarity NPC173763
0.6042 Remote Similarity NPC312315
0.6036 Remote Similarity NPC205176
0.6022 Remote Similarity NPC266888
0.6022 Remote Similarity NPC209156
0.6022 Remote Similarity NPC256312
0.6022 Remote Similarity NPC161774
0.6019 Remote Similarity NPC475801
0.6019 Remote Similarity NPC474593
0.6017 Remote Similarity NPC329216
0.6 Remote Similarity NPC475975
0.5978 Remote Similarity NPC214532
0.5978 Remote Similarity NPC196007
0.5978 Remote Similarity NPC76297
0.595 Remote Similarity NPC160688
0.5941 Remote Similarity NPC477539
0.5918 Remote Similarity NPC470783
0.5872 Remote Similarity NPC220234
0.5868 Remote Similarity NPC470652
0.5849 Remote Similarity NPC301010
0.5833 Remote Similarity NPC473597
0.5806 Remote Similarity NPC470654
0.5806 Remote Similarity NPC470650
0.5806 Remote Similarity NPC470653
0.5794 Remote Similarity NPC280066
0.5773 Remote Similarity NPC191774
0.5769 Remote Similarity NPC320057
0.5766 Remote Similarity NPC188785
0.5739 Remote Similarity NPC474099
0.5727 Remote Similarity NPC475440
0.5726 Remote Similarity NPC50520
0.5714 Remote Similarity NPC5864
0.5714 Remote Similarity NPC124554
0.5714 Remote Similarity NPC301148
0.57 Remote Similarity NPC277341
0.57 Remote Similarity NPC246005
0.57 Remote Similarity NPC226982
0.5699 Remote Similarity NPC471022
0.5688 Remote Similarity NPC144780
0.5676 Remote Similarity NPC26597
0.5667 Remote Similarity NPC473819
0.5664 Remote Similarity NPC198344
0.566 Remote Similarity NPC477538
0.5656 Remote Similarity NPC470545
0.5656 Remote Similarity NPC469899
0.5648 Remote Similarity NPC313265
0.5645 Remote Similarity NPC273185
0.5638 Remote Similarity NPC97614
0.5635 Remote Similarity NPC6975
0.5614 Remote Similarity NPC323720
0.5614 Remote Similarity NPC128303
0.5614 Remote Similarity NPC124549
0.561 Remote Similarity NPC470546
0.56 Remote Similarity NPC475542

  Chemically structural similarity: II. Similar Clinical/Approved Drugs

Similarity level is defined by Tanimoto coefficient (Tc) between two molecules.

●  The left chart: Distribution of similarity level between NPC155230 and all drugs/candidates.
●  The right table: Most similar clinical/approved drugs (Tc>=0.56 or Top200).

Similarity Score Similarity Level Drug ID Developmental Stage
0.6596 Remote Similarity NPD7762 Phase 2
0.6596 Remote Similarity NPD7763 Phase 2
0.602 Remote Similarity NPD2683 Discontinued
0.5941 Remote Similarity NPD3723 Clinical (unspecified phase)
0.5941 Remote Similarity NPD7760 Phase 2
0.5941 Remote Similarity NPD7759 Phase 2
0.5825 Remote Similarity NPD3177 Phase 3
0.581 Remote Similarity NPD4261 Phase 1
0.5773 Remote Similarity NPD4278 Clinical (unspecified phase)
0.5741 Remote Similarity NPD7841 Clinical (unspecified phase)
0.5636 Remote Similarity NPD8038 Phase 2

  Bioactivity similarity: Similar Natural Products in NPASS

Bioactivity similarity was calculated based on bioactivity descriptors of compounds. The bioactivity descriptors were calculated by a recently developed AI algorithm Chemical Checker (CC) [Nature Biotechnology, 38:1087–1096, 2020; Nature Communications, 12:3932, 2021], which evaluated bioactivity similarities at five levels:
A: chemistry similarity;
B: biological targets similarity;
C: networks similarity;
D: cell-based bioactivity similarity;
E: similarity based on clinical data.

Those 5 categories of CC bioactivity descriptors were calculated and then subjected to manifold projection using UMAP algorithm, to project all NPs on a 2-Dimensional space. The current NP was highlighted with a small circle in the 2-D map. Below figures: left-to-right, A-to-E.

A: chemistry similarity
B: biological targets similarity
C: networks similarity
D: cell-based bioactivity similarity
E: similarity based on clinical data