Natural Product: NPC582373

Natural Product IDNPC582373
Common Name
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The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
2,6,6-trimethyl-1-[3,7,12,16-tetramethyl-18-(2,6,6-trimethylcyclohexen-1-yl)octadeca-1,3,5,7,9,11,13,15,17-nonaenyl]cyclohexa-1,3-diene
IUPAC Name 2,6,6-trimethyl-1-[3,7,12,16-tetramethyl-18-(2,6,6-trimethylcyclohexen-1-yl)octadeca-1,3,5,7,9,11,13,15,17-nonaenyl]cyclohexa-1,3-diene
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 SONVPQQKNKXERO-UHFFFAOYSA-N
Standard InCHI InChI=1S/C40H54/c1-31(19-13-21-33(3)25-27-37-35(5)23-15-29-39(37,7)8)17-11-12-18-32(2)20-14-22-34(4)26-28-38-36(6)24-16-30-40(38,9)10/h11-15,17-23,25-28H,16,24,29-30H2,1-10H3
SMILES CC(C=CC=C(C)C=CC1=C(C)C=CCC1(C)C)=CC=CC=C(C)C=CC=C(C)C=CC1=C(C)CCCC1(C)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   534.42 Volume:   651.645
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Van der Waals volume.
Dense:   0.82 LogP:   12.206
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   7.078
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -11.49
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The logarithm of aqueous solubility value.
Rotatable Bonds:   10.0 Rigid Bonds:   21.0
TPSA:   0.0
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Topological Polar Surface Area.
H-Bond Acceptor:   0.0
H-Bond Donor:   0.0 Rings:   2.0
Heavy Atoms:   0.0

MedChem Properties

QED Drug-Likeness Score:   0.244 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   3.992 Fsp3:   0.4
MCE-18:   24.286
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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:   1
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   1.0 Fluc inhibitor:   0.659
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.02
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.004
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.671 Promiscuous compounds:   0.186

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.907 MDCK Permeability:   -4.761
Pgp-inhibitor:   0.928 Pgp-substrate:   0.484
PAMPA:   0.048
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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%):   0.011 30% Bioavailability (F30%):   0.269
50% Bioavailability (F50%):   0.984

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.994 MRP1:   0.995
Plasma Protein Binding (PPB):   97.126% Volume Distribution (VD):   0.618
Fu: 2.739%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.972
OATP1B3 inhibitor:   0.05 BCRP inhibitor:   0.006
BSEP inhibitor:   1.0

ADMET: Metabolism

CYP1A2-inhibitor:   1.0 CYP1A2-substrate:   1.0
CYP2C19-inhibitor:   1.0 CYP2C19-substrate:   0.856
CYP2C9-inhibitor:   1.0 CYP2C9-substrate:   0.022
CYP2D6-inhibitor:   0.982 CYP2D6-substrate:   0.999
CYP3A4-inhibitor:   1.0 CYP3A4-substrate:   1.0
CYP2B6-substrate:   1.0 CYP2C8-inhibitor:   1.0
HLM stability:   1.0
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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):  8.534 Half-life (T1/2):  0.153

ADMET: Toxicity

hERG Blockers:  0.385 hERG Blockers (10um):  0.668
Human Hepatotoxicity (H-HT):  0.334 Drug-induced Liver Injury (DILI):  0.17
AMES Toxicity:  0.836 Rat Oral Acute Toxicity:  0.884
Maximum Recommended Daily Dose:  0.981 Skin Sensitization:  0.994
Carcinogencity:  0.871 Eye Corrosion:  0.002
Eye Irritation:  0.283 Respiratory Toxicity:  0.949
Drug-induced Neurotoxicity:  0.729 Ototoxicity:  0.42
Hematotoxicity:  0.162 Drug-induced Nephrotoxicity:  0.898
Genotoxicity:  0.846 RPMI-8226 Immunitoxicity:  0.247
A549 Cytotoxicity:  0.335 Hek293 Cytotoxicity:  0.763
BCF:   3.899
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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:   5.201
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.763
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   6.685
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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
NPO18557 Epicoccum nigrum Species Didymellaceae Eukaryota n.a. n.a. n.a. PMID[17711348]
NPO18557 Epicoccum nigrum Species Didymellaceae Eukaryota n.a. n.a. n.a. PMID[19919067]
NPO18557 Epicoccum nigrum Species Didymellaceae Eukaryota n.a. The fungus is isolated from the leaves of L. rhodostegia, collected in June 2007 at Nanning, Guangxi Province, China 2007-JUN PMID[20550196]
NPO18557 Epicoccum nigrum Species Didymellaceae Eukaryota n.a. n.a. n.a. PMID[24328302]
NPO18557 Epicoccum nigrum Species Didymellaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO18557 Epicoccum nigrum Species Didymellaceae Eukaryota n.a. n.a. n.a. Database[Title]
NPO18557 Epicoccum nigrum Species Didymellaceae 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 NPC582373 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
0.7941 Intermediate Similarity NPC17810
0.7941 Intermediate Similarity NPC606095
0.65 Remote Similarity NPC22019
0.65 Remote Similarity NPC281986
0.65 Remote Similarity NPC321568
0.6341 Remote Similarity NPC55412
0.6341 Remote Similarity NPC249645
0.5745 Remote Similarity NPC254886
0.5532 Remote Similarity NPC226066
0.5435 Remote Similarity NPC329416
0.5435 Remote Similarity NPC317025
0.5435 Remote Similarity NPC326645
0.5435 Remote Similarity NPC317177

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC582373 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
0.7941 Intermediate Similarity NPD8262 Phase 4
0.6341 Remote Similarity NPD4219 Phase 4
0.5532 Remote Similarity NPD5325 Clinical (unspecified phase)
0.5435 Remote Similarity NPD4191 Approved
0.5435 Remote Similarity NPD4192 Phase 4
0.5435 Remote Similarity NPD4193 Phase 4
0.5435 Remote Similarity NPD4194 Phase 4

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