Natural Product: NPC487386

Natural Product IDNPC487386
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
JJAQRKNMYZIVJG-UUZPQXLNSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID n.a.
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0002106] Anthracyclines

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 JJAQRKNMYZIVJG-UUZPQXLNSA-N
Standard InCHI InChI=1S/C38H48O14/c1-5-38(46)14-20-30(36(45)32-31(34(20)43)33(42)19-7-6-8-22(40)29(19)35(32)44)25(15-38)51-28-13-23(41)37(18(4)49-28)52-27-12-10-24(17(3)48-27)50-26-11-9-21(39)16(2)47-26/h6-8,16-18,21,23-28,37,39-41,43,45-46H,5,9-15H2,1-4H3/t16-,17-,18-,21-,23-,24-,25-,26-,27-,28-,37+,38-/m0/s1
SMILES CC[C@@]1(Cc2c([C@H](C1)O[C@H]1C[C@@H]([C@@H]([C@H](C)O1)O[C@H]1CC[C@@H]([C@H](C)O1)O[C@H]1CC[C@@H]([C@H](C)O1)O)O)c(c1c(C(=O)c3cccc(c3C1=O)O)c2O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   728.3 Volume:   707.88
?
Van der Waals volume.
Dense:   1.029 LogP:   2.928
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.0
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.922
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The logarithm of aqueous solubility value.
Rotatable Bonds:   7.0 Rigid Bonds:   41.0
TPSA:   210.9
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Topological Polar Surface Area.
H-Bond Acceptor:   14.0
H-Bond Donor:   6.0 Rings:   7.0
Heavy Atoms:   14.0

MedChem Properties

QED Drug-Likeness Score:   0.193 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.54 Fsp3:   0.632
MCE-18:   166.194
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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:   0
Chelating Alert:   0 PAINS Alert:   1
Colloidal aggregators:   0.68 Fluc inhibitor:   0.044
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.351
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.59
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.238 Promiscuous compounds:   0.935

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.642 MDCK Permeability:   -4.952
Pgp-inhibitor:   0.297 Pgp-substrate:   1.0
PAMPA:   1.0
?
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):   0.001
20% Bioavailability (F20%):   0.147 30% Bioavailability (F30%):   0.578
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.997
Plasma Protein Binding (PPB):   92.355% Volume Distribution (VD):   0.145
Fu: 7.643%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.998
OATP1B3 inhibitor:   0.992 BCRP inhibitor:   0.408
BSEP inhibitor:   0.973

ADMET: Metabolism

CYP1A2-inhibitor:   0.992 CYP1A2-substrate:   0.003
CYP2C19-inhibitor:   0.014 CYP2C19-substrate:   0.002
CYP2C9-inhibitor:   0.012 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.001
CYP3A4-inhibitor:   0.031 CYP3A4-substrate:   0.367
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.082
HLM stability:   0.394
?
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):  5.729 Half-life (T1/2):  4.898

ADMET: Toxicity

hERG Blockers:  0.095 hERG Blockers (10um):  0.267
Human Hepatotoxicity (H-HT):  0.984 Drug-induced Liver Injury (DILI):  0.989
AMES Toxicity:  0.998 Rat Oral Acute Toxicity:  0.981
Maximum Recommended Daily Dose:  0.994 Skin Sensitization:  1.0
Carcinogencity:  0.715 Eye Corrosion:  0.0
Eye Irritation:  0.001 Respiratory Toxicity:  0.983
Drug-induced Neurotoxicity:  0.171 Ototoxicity:  0.994
Hematotoxicity:  0.992 Drug-induced Nephrotoxicity:  0.995
Genotoxicity:  0.988 RPMI-8226 Immunitoxicity:  0.933
A549 Cytotoxicity:  1.0 Hek293 Cytotoxicity:  0.995
BCF:   0.706
?
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:   3.631
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.38
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.551
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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
NPO40642 Streptomyces sp. SCSIO 1666/17C4 Strain Streptomycetaceae Bacteria n.a. n.a. n.a. PMID[29767975]

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
NPT397 Cell line NCI-H460 Homo sapiens IC50 = 5400.0 nM PMID[29767975]
NPT400 Cell line MDA-MB-435 Homo sapiens IC50 = 4200.0 nM PMID[29767975]
NPT82 Cell line MDA-MB-231 Homo sapiens IC50 > 50000.0 nM PMID[29767975]
NPT393 Cell line HCT-116 Homo sapiens IC50 = 300.0 nM PMID[29767975]
NPT65 Cell line HepG2 Homo sapiens IC50 = 8600.0 nM PMID[29767975]
NPT2257 Cell line MCF-10A Homo sapiens IC50 = 2200.0 nM PMID[29767975]

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 NPC487386 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
0.9211 High Similarity NPC487390
0.7738 Intermediate Similarity NPC487385
0.7738 Intermediate Similarity NPC487387
0.7442 Intermediate Similarity NPC487384
0.7059 Intermediate Similarity NPC487388
0.7 Intermediate Similarity NPC487389
0.6957 Remote Similarity NPC487383
0.6667 Remote Similarity NPC602774
0.6531 Remote Similarity NPC484443
0.6452 Remote Similarity NPC487394
0.6374 Remote Similarity NPC487395
0.6222 Remote Similarity NPC487391
0.6222 Remote Similarity NPC487392
0.6087 Remote Similarity NPC487393
0.5158 Remote Similarity NPC603200

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC487386 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
0.5684 Remote Similarity NPD7699 Phase 2
0.5684 Remote Similarity NPD7700 Phase 2

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