Natural Product: NPC558539

Natural Product IDNPC558539
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
(7~{S},9~{R})-9-acetyl-7-[(2~{R},4~{R},5~{S},6~{S})-4-amino-5-[(1~{R},3~{S})-3-hydroxy-1-[(1~{R})-2-hydroxy-1-methyl-ethoxy]butoxy]-6-methyl-tetrahydropyran-2-yl]oxy-6,9,11-trihydroxy-4-methoxy-8,10-dihydro-7~{H}-tetracene-5,12-dione
IUPAC Name (7~{S},9~{R})-9-acetyl-7-[(2~{R},4~{R},5~{S},6~{S})-4-amino-5-[(1~{R},3~{S})-3-hydroxy-1-[(1~{R})-2-hydroxy-1-methyl-ethoxy]butoxy]-6-methyl-tetrahydropyran-2-yl]oxy-6,9,11-trihydroxy-4-methoxy-8,10-dihydro-7~{H}-tetracene-5,12-dione
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID n.a.
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]

The Chemical Classification was calculated by Classyfire, a software for chemical taxonomy calculation. Reference: DOI:10.1186/s13321-016-0174-y.

  Chemical Representations

Standard InCHIKey MWURQTZZKGQQIE-QIAMWJNYSA-N
Standard InCHI InChI=1S/C34H43NO13/c1-14(37)9-23(45-15(2)13-36)48-33-16(3)46-24(10-20(33)35)47-22-12-34(43,17(4)38)11-19-26(22)32(42)28-27(30(19)40)29(39)18-7-6-8-21(44-5)25(18)31(28)41/h6-8,14-16,20,22-24,33,36-37,40,42-43H,9-13,35H2,1-5H3/t14-,15+,16-,20+,22-,23+,24-,33+,34+/m0/s1
SMILES COC1=CC=CC2=C1C(=O)C1=C(O)C3=C(C[C@](O)(C(C)=O)C[C@@H]3O[C@H]3C[C@@H](N)[C@H](O[C@H](C[C@H](C)O)O[C@H](C)CO)[C@H](C)O3)C(O)=C1C2=O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   673.27 Volume:   655.379
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Van der Waals volume.
Dense:   1.027 LogP:   2.137
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.471
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.912
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The logarithm of aqueous solubility value.
Rotatable Bonds:   11.0 Rigid Bonds:   30.0
TPSA:   224.53
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Topological Polar Surface Area.
H-Bond Acceptor:   14.0
H-Bond Donor:   7.0 Rings:   5.0
Heavy Atoms:   14.0

MedChem Properties

QED Drug-Likeness Score:   0.126 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.249 Fsp3:   0.559
MCE-18:   126.906
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MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Accepted
Pfizer Rule:   Rejected GSK Rule:   Accepted
Golden Triangle Rule:   Accepted BMS Rule:   1
Chelating Alert:   0 PAINS Alert:   1
Colloidal aggregators:   0.69 Fluc inhibitor:   0.039
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.299
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.61
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.012 Promiscuous compounds:   0.982

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.004 MDCK Permeability:   -5.202
Pgp-inhibitor:   0.114 Pgp-substrate:   0.996
PAMPA:   0.998
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The experimental data for Peff was logarithmically transformed (logPeff). Molecules with log Peff values below 2.0 were classified as low-permeability (Category 0), while those with log Peff values exceeding 2.5 were classified as high-permeability (Category 1).
Human Intestinal Absorption (HIA):   0.756
20% Bioavailability (F20%):   0.852 30% Bioavailability (F30%):   0.991
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.997
Plasma Protein Binding (PPB):   94.421% Volume Distribution (VD):   1.072
Fu: 6.345%
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The fraction unbound in plasms.
OATP1B1 inhibitor:   0.961
OATP1B3 inhibitor:   0.997 BCRP inhibitor:   0.05
BSEP inhibitor:   0.297

ADMET: Metabolism

CYP1A2-inhibitor:   0.694 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.033 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.027
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.161
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.013
HLM stability:   0.003
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Human liver microsomal (HLM) stability. Category 0: stable+ (HLM > 30 min); Category 1: unstable- (HLM ≤ 30 min). The output value is the probability of human liver microsomal instability, where a value closer to 1 indicates a higher likelihood of instability.

ADMET: Excretion

Clearance (CL):  12.101 Half-life (T1/2):  3.194

ADMET: Toxicity

hERG Blockers:  0.182 hERG Blockers (10um):  0.158
Human Hepatotoxicity (H-HT):  0.993 Drug-induced Liver Injury (DILI):  0.999
AMES Toxicity:  0.999 Rat Oral Acute Toxicity:  0.98
Maximum Recommended Daily Dose:  0.998 Skin Sensitization:  1.0
Carcinogencity:  0.988 Eye Corrosion:  0.0
Eye Irritation:  0.001 Respiratory Toxicity:  0.983
Drug-induced Neurotoxicity:  0.919 Ototoxicity:  0.994
Hematotoxicity:  0.97 Drug-induced Nephrotoxicity:  0.996
Genotoxicity:  0.993 RPMI-8226 Immunitoxicity:  0.89
A549 Cytotoxicity:  1.0 Hek293 Cytotoxicity:  0.99
BCF:   0.471
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Bioconcentration factors are used for considering secondary poisoning potential and assessing risks to human health via the food chain. The unit is -log10[(mg/L)/(1000*MW)].
IGC50:   3.211
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.093
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.014
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96 hour fathead minnow LC50. The unit of LC50FM is -log10[(mg/L)/(1000*MW)].

  Species Source

Organism ID Organism Name Taxonomy Level Family SuperKingdom Isolation Part Collection Location Collection Time Reference
NPO51894 Streptomyces coeruleorubidus sp. ME130-A4 Genus Streptomycetaceae Bacteria n.a. n.a. n.a. Database[COCONUT]

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 Organism Name 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

Molecular-level activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference

In vitro activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference

In vivo activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference





 Experimental ADME

Experiment Model Experiment Tissue ADME Type ADME Relation ADME Value ADME Unit Reference





 Experimental Toxicity

Quantitative toxicity

Experiment Model Experiment Organism Toxicity Type Toxicity Relation Toxicity Value Toxicity Unit Reference

Common Abbreviations:
LC: Lethal Concentration; LD: Lethal Dose; LT:Lethal Time; NOAEL: No-observed-adverse-effect Level; BMDL: Benchmark Dose Lower Confidence Limit; BMD: Benchmark Dose; BMC:Benchmark Concentration; LOAEL: Lowest Observed Adverse Effect Level; RfD:Reference Dose; RfC:Reference Concentration; MRL: Minimal Risk Level; MEG: Maximum Exposure Guideline; PAC: Protective Action Criteria

Categorical toxicity labels

Hepatotoxicity Carcinogenicity Mutagenicity Cardiotoxicity Respiratory Toxicity Eye Irritation Endocrine Disruption
Hepatotoxicity Carcinogenicity Mutagenicity Cardiotoxicity Respiratory Toxicity Eye Irritation Endocrine Disruption

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 toxicity records from domain-specific databases. These databases include:
ToxValDB: a curated database that compiles quantitative toxicity values for chemicals from diverse public sources to support toxicological research and risk assessment.
TOXRIC: a comprehensive, free-to-access, online database providing toxicological/feature data. The toxicity labels are retrieved from this database. [PMID: 36400569]


  Chemically structural similarity

Similar Active Natural Products in NPASS

Top-200 similar NPs were calculated against the active-NP-set (includes approximately 50,000 NPs with experimentally-derived bioactivity available in NPASS)

Similarity is measured using the Tanimoto coefficient (Tc) , which compares the binary fingerprints of two molecules. Tc is calculated as the intersection divided by the union of '1' bits in the fingerprints, ranging from 0 to 1, with 1 indicating highest similarity.

●  The left chart: Distribution of similarity level between NPC558539 and all remaining natural products in the NPASS database.
●  The right table: Most similar natural products (Tc>=0.5 or Top200).

Similarity Score Similarity Level Natural Product ID
0.7356 Intermediate Similarity NPC109403
0.7273 Intermediate Similarity NPC487573
0.6923 Remote Similarity NPC261012
0.6923 Remote Similarity NPC314738
0.6848 Remote Similarity NPC468994
0.6304 Remote Similarity NPC603200
0.6277 Remote Similarity NPC601855
0.6186 Remote Similarity NPC600087
0.5955 Remote Similarity NPC611971

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC558539 and all drugs/candidates.
●  The right table: Most similar clinical/approved drugs (Tc>=0.5 or Top200).

Similarity Score Similarity Level Drug ID Developmental Stage
0.7368 Intermediate Similarity NPD7696 Phase 3
0.7368 Intermediate Similarity NPD7697 Phase 3
0.7368 Intermediate Similarity NPD7698 Approved
0.7356 Intermediate Similarity NPD6778 Phase 4
0.7273 Intermediate Similarity NPD6777 Approved
0.7083 Intermediate Similarity NPD7871 Phase 2
0.701 Intermediate Similarity NPD7870 Phase 2
0.6923 Remote Similarity NPD6781 Phase 4
0.6923 Remote Similarity NPD6782 Phase 4
0.6848 Remote Similarity NPD6779 Approved
0.6848 Remote Similarity NPD6780 Approved
0.6465 Remote Similarity NPD6776 Approved
0.5955 Remote Similarity NPD6535 Phase 4
0.5889 Remote Similarity NPD6534 Approved
0.5741 Remote Similarity NPD7801 Approved
0.5575 Remote Similarity NPD8155 Clinical (unspecified phase)
0.5526 Remote Similarity NPD8058 Clinical (unspecified phase)
0.5526 Remote Similarity NPD8059 Phase 3
0.5405 Remote Similarity NPD7701 Phase 2
0.537 Remote Similarity NPD7435 Phase 2
0.5347 Remote Similarity NPD7699 Phase 2
0.5347 Remote Similarity NPD7700 Phase 2
0.513 Remote Similarity NPD7874 Phase 4
0.513 Remote Similarity NPD7875 Clinical (unspecified phase)

Bioactivity similarity

  Bioactivity similarity

Similar Natural Products in NPASS

Similarity level is defined by 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