Natural Product: NPC79308

Natural Product IDNPC79308
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
 Dendocarbin D
IUPAC Name (1R,3aR,5aS,9aS,9bR)-1,3a-dihydroxy-6,6,9a-trimethyl-1,4,5,5a,7,8,9,9b-octahydrobenzo[e][2]benzofuran-3-one
Synonyms Dendocarbin D
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL512506
PubChem CID 11129314
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000002] Organoheterocyclic compounds
      • [CHEMONTID:0001634] Naphthofurans

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 GGWKVMGHNXNHGX-MTLGCJRHSA-N
Standard InCHI InChI=1S/C15H24O4/c1-13(2)6-4-7-14(3)9(13)5-8-15(18)10(14)11(16)19-12(15)17/h9-11,16,18H,4-8H2,1-3H3/t9-,10+,11+,14-,15+/m0/s1
SMILES O[C@@H]1OC(=O)[C@@]2([C@H]1[C@@]1(C)CCCC([C@@H]1CC2)(C)C)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   268.17 Volume:   274.851
?
Van der Waals volume.
Dense:   0.976 LogP:   2.49
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.778
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
 LogS:   -4.039
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The logarithm of aqueous solubility value.
Rotatable Bonds:   0.0 Rigid Bonds:   16.0
TPSA:   66.76
?
Topological Polar Surface Area.
 H-Bond Acceptor:   4.0
H-Bond Donor:   2.0 Rings:   3.0
Heavy Atoms:   4.0

MedChem Properties

QED Drug-Likeness Score:   0.658 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.445 Fsp3:   0.933
MCE-18:   60.69
?
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:   Rejected
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.346 Fluc inhibitor:   0.001
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.009
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
 Green fluorescence:   0.001
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.574 Promiscuous compounds:   0.434

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.576 MDCK Permeability:   -4.673
Pgp-inhibitor:   0.742 Pgp-substrate:   0.183
PAMPA:   0.819
?
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):   0.039
20% Bioavailability (F20%):   0.857 30% Bioavailability (F30%):   0.874
50% Bioavailability (F50%):   0.993

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.189 MRP1:   0.787
Plasma Protein Binding (PPB):   85.611% Volume Distribution (VD):   -0.019
Fu: 12.375%
?
The fraction unbound in plasms.
 OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.974 BCRP inhibitor:   0.571
BSEP inhibitor:   0.934

ADMET: Metabolism

CYP1A2-inhibitor:   0.001 CYP1A2-substrate:   0.09
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.005
CYP2D6-inhibitor:   0.003 CYP2D6-substrate:   0.01
CYP3A4-inhibitor:   0.177 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.082
HLM stability:   0.263
?
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):  4.326 Half-life (T1/2):  2.166

ADMET: Toxicity

hERG Blockers:  0.061 hERG Blockers (10um):  0.339
Human Hepatotoxicity (H-HT):  0.738 Drug-induced Liver Injury (DILI):  0.559
AMES Toxicity:  0.767 Rat Oral Acute Toxicity:  0.439
Maximum Recommended Daily Dose:  0.68 Skin Sensitization:  0.999
Carcinogencity:  0.931 Eye Corrosion:  0.159
Eye Irritation:  0.803 Respiratory Toxicity:  0.604
Drug-induced Neurotoxicity:  0.436 Ototoxicity:  0.367
Hematotoxicity:  0.618 Drug-induced Nephrotoxicity:  0.933
Genotoxicity:  0.938 RPMI-8226 Immunitoxicity:  0.084
A549 Cytotoxicity:  0.455 Hek293 Cytotoxicity:  0.344
BCF:   1.984
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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:   4.12
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.68
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
 LC50FM:   4.999
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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
NPO8660 Dendrodoris carbunculosa Species Dendrodorididae Eukaryota n.a. Amatsu-kominato, Boso Peninsula, central Japan (35 07N, 140 11E) 1999-NOV PMID[11421732]
NPO7781 Piper scutifolium Species Piperaceae Eukaryota n.a. n.a. n.a. PMID[18031016]
NPO7781 Piper scutifolium Species Piperaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO7919 Hedysarum sericeum Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO6857 Actinidia eriantha Species Actinidiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO8660 Dendrodoris carbunculosa Species Dendrodorididae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO2429 Gracilariopsis lemaneiformis Species Gracilariaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO6857 Actinidia eriantha Species Actinidiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO1548 Nardia succulenta Species Solenostomataceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO8660 Dendrodoris carbunculosa Species Dendrodorididae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO5268 Chenopodium hircinum Species Chenopodiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO24628 Lamium galeobdolon Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO578 Eriope blanchetii Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO6857 Actinidia eriantha Species Actinidiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO5987 Hypericum yojiroanum Species Hypericaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO7919 Hedysarum sericeum Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO7474 Sicya macularia Species Geometridae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO7781 Piper scutifolium Species Piperaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO2429 Gracilariopsis lemaneiformis Species Gracilariaceae 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
NPT168 Cell line P388 Mus musculus IC50 = 15.0 ug.mL-1 PMID[11421732]
NPT168 Cell line P388 Mus musculus IC50 = 16.0 ug.mL-1 PMID[11421732]
NPT168 Cell line P388 Mus musculus IC50 = 14.0 ug.mL-1 PMID[11421732]

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 NPC79308 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
0.5957 Remote Similarity NPC601162
0.5102 Remote Similarity NPC22134
0.5102 Remote Similarity NPC479668

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC79308 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
NPD

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