Natural Product: NPC228130

Natural Product IDNPC228130
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
FEDVOJBETKNLSY-OMJPMECBSA-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:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001551] Diterpenoids

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 FEDVOJBETKNLSY-OMJPMECBSA-N
Standard InCHI InChI=1S/C42H64O4/c1-28(12-20-33-29(2)13-22-35-39(33,4)24-10-26-41(35,6)37(43)45-8)32-18-15-31(16-19-32)17-21-34-30(3)14-23-36-40(34,5)25-11-27-42(36,7)38(44)46-9/h15,32-36H,1-3,10-14,16-27H2,4-9H3/t32-,33+,34+,35+,36+,39+,40+,41-,42-/m0/s1
SMILES C=C(CC[C@@H]1C(=C)CC[C@@H]2[C@]1(C)CCC[C@]2(C)C(=O)OC)[C@H]1CC=C(CC1)CC[C@@H]1C(=C)CC[C@@H]2[C@]1(C)CCC[C@]2(C)C(=O)OC

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   632.48 Volume:   711.548
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Van der Waals volume.
Dense:   0.889 LogP:   7.53
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   5.145
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -8.32
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The logarithm of aqueous solubility value.
Rotatable Bonds:   11.0 Rigid Bonds:   33.0
TPSA:   52.6
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Topological Polar Surface Area.
H-Bond Acceptor:   4.0
H-Bond Donor:   0.0 Rings:   5.0
Heavy Atoms:   4.0

MedChem Properties

QED Drug-Likeness Score:   0.187 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.358 Fsp3:   0.762
MCE-18:   98.595
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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:   Accepted GSK Rule:   Accepted
Golden Triangle Rule:   Accepted BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.984 Fluc inhibitor:   0.013
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.002
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.0
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.669 Promiscuous compounds:   0.022

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.665 MDCK Permeability:   -4.812
Pgp-inhibitor:   0.999 Pgp-substrate:   0.0
PAMPA:   0.0
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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%):   0.073 30% Bioavailability (F30%):   0.032
50% Bioavailability (F50%):   0.921

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.931 MRP1:   1.0
Plasma Protein Binding (PPB):   98.376% Volume Distribution (VD):   0.239
Fu: 0.826%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.086
BSEP inhibitor:   1.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.925 CYP1A2-substrate:   0.045
CYP2C19-inhibitor:   0.998 CYP2C19-substrate:   0.038
CYP2C9-inhibitor:   0.021 CYP2C9-substrate:   0.004
CYP2D6-inhibitor:   0.032 CYP2D6-substrate:   0.86
CYP3A4-inhibitor:   1.0 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.929 CYP2C8-inhibitor:   1.0
HLM stability:   0.946
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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):  7.763 Half-life (T1/2):  0.217

ADMET: Toxicity

hERG Blockers:  0.25 hERG Blockers (10um):  0.563
Human Hepatotoxicity (H-HT):  0.817 Drug-induced Liver Injury (DILI):  0.233
AMES Toxicity:  0.041 Rat Oral Acute Toxicity:  0.526
Maximum Recommended Daily Dose:  0.995 Skin Sensitization:  0.995
Carcinogencity:  0.938 Eye Corrosion:  0.001
Eye Irritation:  0.373 Respiratory Toxicity:  0.984
Drug-induced Neurotoxicity:  0.556 Ototoxicity:  0.495
Hematotoxicity:  0.354 Drug-induced Nephrotoxicity:  0.919
Genotoxicity:  0.781 RPMI-8226 Immunitoxicity:  0.087
A549 Cytotoxicity:  0.597 Hek293 Cytotoxicity:  0.925
BCF:   2.44
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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:   6.024
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.922
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   6.846
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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
NPO21902 Thalictrum sachalinense Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO23029 Tetradenia riparia Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO21769 Pterocarpus dalbergioides Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO23197 Juniperus oxycedrus Species Cupressaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO22349 Cucumaria frondosa Species Cucumariidae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO19830 Chamonixia caespitosa Species Boletaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO20157 Boykinia tellimoides Species Saxifragaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO13434 Acremonium furcatum Species Plectosphaerellaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO23197 Juniperus oxycedrus Species Cupressaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO23197 Juniperus oxycedrus Species Cupressaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO19830 Chamonixia caespitosa Species Boletaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO23029 Tetradenia riparia Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO21769 Pterocarpus dalbergioides Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO13434 Acremonium furcatum Species Plectosphaerellaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO23197 Juniperus oxycedrus Species Cupressaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO20157 Boykinia tellimoides Species Saxifragaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO22349 Cucumaria frondosa Species Cucumariidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO21902 Thalictrum sachalinense Species Ranunculaceae 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 NPC228130 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
0.6667 Remote Similarity NPC200513
0.5536 Remote Similarity NPC166797
0.5455 Remote Similarity NPC185587
0.5439 Remote Similarity NPC899
0.5085 Remote Similarity NPC144947
0.5077 Remote Similarity NPC16922

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC228130 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
0.6667 Remote Similarity NPD4752 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