Natural Product: NPC515784

Natural Product IDNPC515784
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
EiM08-29243
IUPAC Name (5~{a}~{S},8~{a}~{S},9~{S})-9-(3,4,5-trimethoxyphenyl)-5~{a},6,8~{a},9-tetrahydroisobenzofuro[5,6-f][1,3]benzodioxole-5,8-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 ISCQYPPCSYRZOT-ZNZDAUKMSA-N
Standard InCHI InChI=1S/C22H20O8/c1-25-16-4-10(5-17(26-2)21(16)27-3)18-11-6-14-15(30-9-29-14)7-12(11)20(23)13-8-28-22(24)19(13)18/h4-7,13,18-19H,8-9H2,1-3H3/t13-,18+,19-/m1/s1
SMILES COC1=CC([C@H]2C3=CC4=C(C=C3C(=O)[C@@H]3COC(=O)[C@@H]23)OCO4)=CC(OC)=C1OC

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   412.12 Volume:   395.516
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Van der Waals volume.
Dense:   1.042 LogP:   2.275
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.441
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.88
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The logarithm of aqueous solubility value.
Rotatable Bonds:   4.0 Rigid Bonds:   27.0
TPSA:   89.52
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Topological Polar Surface Area.
H-Bond Acceptor:   8.0
H-Bond Donor:   0.0 Rings:   5.0
Heavy Atoms:   8.0

MedChem Properties

QED Drug-Likeness Score:   0.708 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   3.622 Fsp3:   0.364
MCE-18:   93.333
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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:   0.142 Fluc inhibitor:   0.144
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.273
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.357
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.245 Promiscuous compounds:   0.459

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.819 MDCK Permeability:   -4.719
Pgp-inhibitor:   0.123 Pgp-substrate:   0.002
PAMPA:   0.038
?
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%):   0.002 30% Bioavailability (F30%):   0.0
50% Bioavailability (F50%):   0.112

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.973 MRP1:   0.991
Plasma Protein Binding (PPB):   96.307% Volume Distribution (VD):   0.118
Fu: 4.32%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.934
OATP1B3 inhibitor:   0.964 BCRP inhibitor:   0.002
BSEP inhibitor:   1.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.988 CYP1A2-substrate:   0.635
CYP2C19-inhibitor:   1.0 CYP2C19-substrate:   1.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.985
CYP3A4-inhibitor:   1.0 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.963
HLM stability:   0.671
?
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):  2.867 Half-life (T1/2):  2.374

ADMET: Toxicity

hERG Blockers:  0.246 hERG Blockers (10um):  0.597
Human Hepatotoxicity (H-HT):  0.942 Drug-induced Liver Injury (DILI):  0.992
AMES Toxicity:  0.683 Rat Oral Acute Toxicity:  0.212
Maximum Recommended Daily Dose:  0.48 Skin Sensitization:  0.982
Carcinogencity:  0.788 Eye Corrosion:  0.001
Eye Irritation:  0.701 Respiratory Toxicity:  0.235
Drug-induced Neurotoxicity:  0.302 Ototoxicity:  0.833
Hematotoxicity:  0.947 Drug-induced Nephrotoxicity:  0.985
Genotoxicity:  0.983 RPMI-8226 Immunitoxicity:  0.24
A549 Cytotoxicity:  0.123 Hek293 Cytotoxicity:  0.537
BCF:   1.531
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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:   4.04
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.538
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.234
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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
NPO20275 Juniperus sabina Species Cupressaceae Eukaryota n.a. n.a. n.a. PMID[34203980]
NPO20275 Juniperus sabina Species Cupressaceae Eukaryota n.a. n.a. n.a. PMID[37894884]
NPO22413 Dysosma aurantiocaulis Species Berberidaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO27647 Diphylleia cymosa Species Berberidaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO23382 Podophyllum emodii Species Berberidaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO52168 Podophyllum hexandrum Species Berberidaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO30046 Dysosma majorensis Species Berberidaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO26868 Diphylleia sinensis Species Berberidaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO27244 Dysosma pleiantha Species Berberidaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO20275 Juniperus sabina Species Cupressaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO22413 Dysosma aurantiocaulis Species Berberidaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO23382 Podophyllum emodii Species Berberidaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO26868 Diphylleia sinensis Species Berberidaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO30046 Dysosma majorensis Species Berberidaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO20275 Juniperus sabina Species Cupressaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO27244 Dysosma pleiantha Species Berberidaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO22413 Dysosma aurantiocaulis Species Berberidaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO27647 Diphylleia cymosa Species Berberidaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO26868 Diphylleia sinensis Species Berberidaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO27244 Dysosma pleiantha Species Berberidaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO20275 Juniperus sabina Species Cupressaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO23382 Podophyllum emodii Species Berberidaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO20275 Juniperus sabina Species Cupressaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO26868 Diphylleia sinensis Species Berberidaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO27647 Diphylleia cymosa Species Berberidaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO22413 Dysosma aurantiocaulis Species Berberidaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO27244 Dysosma pleiantha Species Berberidaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO20275 Juniperus sabina Species Cupressaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO26868 Diphylleia sinensis Species Berberidaceae 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 NPC515784 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
1.0 High Similarity NPC239890
1.0 High Similarity NPC209411
0.6557 Remote Similarity NPC237946
0.6557 Remote Similarity NPC32373
0.65 Remote Similarity NPC80230
0.65 Remote Similarity NPC104024
0.65 Remote Similarity NPC101755
0.65 Remote Similarity NPC304687
0.65 Remote Similarity NPC65574
0.6129 Remote Similarity NPC262455
0.6129 Remote Similarity NPC177476
0.6094 Remote Similarity NPC210642
0.6094 Remote Similarity NPC13985
0.6094 Remote Similarity NPC207584
0.6094 Remote Similarity NPC19947
0.6032 Remote Similarity NPC149505
0.5909 Remote Similarity NPC119910
0.5781 Remote Similarity NPC480477
0.5588 Remote Similarity NPC115281
0.5517 Remote Similarity NPC151423
0.5362 Remote Similarity NPC288149
0.5362 Remote Similarity NPC470637
0.5345 Remote Similarity NPC218841
0.5323 Remote Similarity NPC477698
0.5294 Remote Similarity NPC91634
0.5294 Remote Similarity NPC150943
0.5294 Remote Similarity NPC268718
0.5246 Remote Similarity NPC86455
0.5246 Remote Similarity NPC125134
0.5246 Remote Similarity NPC137920
0.5167 Remote Similarity NPC475000
0.5161 Remote Similarity NPC164082
0.5147 Remote Similarity NPC30009
0.5147 Remote Similarity NPC103197
0.5077 Remote Similarity NPC218092
0.5077 Remote Similarity NPC246474
0.5077 Remote Similarity NPC162851

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC515784 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
0.6557 Remote Similarity NPD4965 Approved
0.6557 Remote Similarity NPD4966 Phase 4
0.6557 Remote Similarity NPD4967 Phase 2
0.5455 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