Natural Product: NPC306487

Natural Product IDNPC306487
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
JQNGRAVMNACCCG-MYDCNYLUSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 10094206
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0001392] Lignans, neolignans and related compounds
      • [CHEMONTID:0001510] Lignan lactones

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 JQNGRAVMNACCCG-MYDCNYLUSA-N
Standard InCHI InChI=1S/C23H26O8/c1-26-15-8-12-13(9-16(15)27-2)21(24)14-10-31-23(25)20(14)19(12)11-6-17(28-3)22(30-5)18(7-11)29-4/h6-9,14,19-21,24H,10H2,1-5H3/t14-,19+,20-,21+/m0/s1
SMILES COc1cc2c(cc1OC)[C@H]([C@H]1COC(=O)[C@@H]1[C@@H]2c1cc(c(c(c1)OC)OC)OC)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   430.16 Volume:   424.005
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Van der Waals volume.
Dense:   1.015 LogP:   1.638
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.991
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.017
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The logarithm of aqueous solubility value.
Rotatable Bonds:   6.0 Rigid Bonds:   22.0
TPSA:   92.68
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Topological Polar Surface Area.
H-Bond Acceptor:   8.0
H-Bond Donor:   1.0 Rings:   4.0
Heavy Atoms:   8.0

MedChem Properties

QED Drug-Likeness Score:   0.7 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   3.621 Fsp3:   0.435
MCE-18:   82.576
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MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Rejected
Pfizer Rule:   Rejected GSK Rule:   Accepted
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.105 Fluc inhibitor:   0.106
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.107
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.066
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.09 Promiscuous compounds:   0.871

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.005 MDCK Permeability:   -4.706
Pgp-inhibitor:   0.034 Pgp-substrate:   0.021
PAMPA:   0.076
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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):   0.0
20% Bioavailability (F20%):   0.006 30% Bioavailability (F30%):   0.0
50% Bioavailability (F50%):   0.042

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.378 MRP1:   0.999
Plasma Protein Binding (PPB):   88.516% Volume Distribution (VD):   -0.104
Fu: 10.321%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.273
OATP1B3 inhibitor:   0.326 BCRP inhibitor:   0.002
BSEP inhibitor:   0.988

ADMET: Metabolism

CYP1A2-inhibitor:   0.031 CYP1A2-substrate:   0.867
CYP2C19-inhibitor:   1.0 CYP2C19-substrate:   0.836
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.703
CYP3A4-inhibitor:   1.0 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.646
?
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):  7.415 Half-life (T1/2):  3.059

ADMET: Toxicity

hERG Blockers:  0.138 hERG Blockers (10um):  0.593
Human Hepatotoxicity (H-HT):  0.717 Drug-induced Liver Injury (DILI):  0.921
AMES Toxicity:  0.544 Rat Oral Acute Toxicity:  0.593
Maximum Recommended Daily Dose:  0.732 Skin Sensitization:  0.887
Carcinogencity:  0.62 Eye Corrosion:  0.001
Eye Irritation:  0.284 Respiratory Toxicity:  0.746
Drug-induced Neurotoxicity:  0.67 Ototoxicity:  0.783
Hematotoxicity:  0.87 Drug-induced Nephrotoxicity:  0.944
Genotoxicity:  0.933 RPMI-8226 Immunitoxicity:  0.399
A549 Cytotoxicity:  0.45 Hek293 Cytotoxicity:  0.413
BCF:   0.665
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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:   3.118
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.255
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.557
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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
NPO6545 Artemisia sieversiana Species Asteraceae Eukaryota Aerial Parts n.a. n.a. PMID[29122483]
NPO6545 Artemisia sieversiana Species Asteraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO23382 Podophyllum emodii Species Berberidaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO23382 Podophyllum emodii Species Berberidaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO6545 Artemisia sieversiana Species Asteraceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO23382 Podophyllum emodii Species Berberidaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO6545 Artemisia sieversiana Species Asteraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO6545 Artemisia sieversiana Species Asteraceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO6545 Artemisia sieversiana Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]

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 NPC306487 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
0.8679 High Similarity NPC237946
0.8679 High Similarity NPC32373
0.7759 Intermediate Similarity NPC119910
0.75 Intermediate Similarity NPC178574
0.7 Intermediate Similarity NPC91634
0.7 Intermediate Similarity NPC150943
0.7 Intermediate Similarity NPC268718
0.6833 Remote Similarity NPC207584
0.6833 Remote Similarity NPC19947
0.6066 Remote Similarity NPC65591
0.5758 Remote Similarity NPC288149
0.5484 Remote Similarity NPC239890
0.5484 Remote Similarity NPC209411
0.5156 Remote Similarity NPC80230
0.5156 Remote Similarity NPC104024
0.5156 Remote Similarity NPC101755
0.5156 Remote Similarity NPC304687
0.5156 Remote Similarity NPC65574

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC306487 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
0.8679 High Similarity NPD4965 Approved
0.8679 High Similarity NPD4966 Phase 4
0.8679 High Similarity NPD4967 Phase 2
0.6479 Remote Similarity NPD37 Approved

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