Natural Product: NPC480950

Natural Product IDNPC480950
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
ZCKFNUDYXYQCEV-DOLOLFCTSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 102237001
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 ZCKFNUDYXYQCEV-DOLOLFCTSA-N
Standard InCHI InChI=1S/C29H48O3/c1-24(2)14-15-29(32)19(16-24)18-8-9-21-26(5)12-11-22(30)25(3,4)20(26)10-13-27(21,6)28(18,7)17-23(29)31/h8,19-23,30-32H,9-17H2,1-7H3/t19-,20-,21+,22-,23+,26-,27+,28+,29+/m0/s1
SMILES CC1(C)CC[C@]2([C@@H](C1)C1=CC[C@@H]3[C@@]4(C)CC[C@@H](C(C)(C)[C@@H]4CC[C@@]3(C)[C@]1(C)C[C@H]2O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   444.36 Volume:   491.092
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Van der Waals volume.
Dense:   0.905 LogP:   4.606
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.176
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.133
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The logarithm of aqueous solubility value.
Rotatable Bonds:   0.0 Rigid Bonds:   26.0
TPSA:   60.69
?
Topological Polar Surface Area.
H-Bond Acceptor:   3.0
H-Bond Donor:   3.0 Rings:   5.0
Heavy Atoms:   3.0

MedChem Properties

QED Drug-Likeness Score:   0.41 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.87 Fsp3:   0.931
MCE-18:   105.857
?
MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Rejected
Pfizer Rule:   Accepted GSK Rule:   Accepted
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.698 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.015
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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:   0.464 Promiscuous compounds:   0.111

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.405 MDCK Permeability:   -5.009
Pgp-inhibitor:   0.006 Pgp-substrate:   0.354
PAMPA:   0.999
?
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):   0.007
20% Bioavailability (F20%):   0.987 30% Bioavailability (F30%):   0.721
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.868 MRP1:   0.909
Plasma Protein Binding (PPB):   91.027% Volume Distribution (VD):   -0.153
Fu: 8.373%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.923 BCRP inhibitor:   0.317
BSEP inhibitor:   0.504

ADMET: Metabolism

CYP1A2-inhibitor:   0.016 CYP1A2-substrate:   0.015
CYP2C19-inhibitor:   0.976 CYP2C19-substrate:   0.689
CYP2C9-inhibitor:   0.02 CYP2C9-substrate:   0.012
CYP2D6-inhibitor:   0.066 CYP2D6-substrate:   0.009
CYP3A4-inhibitor:   0.002 CYP3A4-substrate:   0.653
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.9
HLM stability:   0.914
?
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):  10.492 Half-life (T1/2):  0.719

ADMET: Toxicity

hERG Blockers:  0.063 hERG Blockers (10um):  0.25
Human Hepatotoxicity (H-HT):  0.627 Drug-induced Liver Injury (DILI):  0.184
AMES Toxicity:  0.482 Rat Oral Acute Toxicity:  0.627
Maximum Recommended Daily Dose:  0.677 Skin Sensitization:  0.971
Carcinogencity:  0.959 Eye Corrosion:  0.036
Eye Irritation:  0.504 Respiratory Toxicity:  0.931
Drug-induced Neurotoxicity:  0.11 Ototoxicity:  0.442
Hematotoxicity:  0.448 Drug-induced Nephrotoxicity:  0.854
Genotoxicity:  0.794 RPMI-8226 Immunitoxicity:  0.086
A549 Cytotoxicity:  0.847 Hek293 Cytotoxicity:  0.698
BCF:   2.408
?
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:   4.101
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.147
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.789
?
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
NPO23380 Camellia japonica Species Theaceae Eukaryota n.a. leaf n.a. PMID[16926516]
NPO23380 Camellia japonica Species Theaceae Eukaryota flower buds n.a. n.a. PMID[22834923]
NPO23380 Camellia japonica Species Theaceae Eukaryota Roots n.a. n.a. PMID[30395460]
NPO23380 Camellia japonica Species Theaceae Eukaryota n.a. n.a. n.a. PMID[32569471]
NPO23380 Camellia japonica Species Theaceae Eukaryota n.a. n.a. n.a. PMID[39065796]
NPO23380 Camellia japonica Species Theaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO23380 Camellia japonica Species Theaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO23380 Camellia japonica Species Theaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO23380 Camellia japonica Species Theaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO23380 Camellia japonica Species Theaceae 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
NPT804 Cell line HT-22 Mus musculus Activity = 61.9 % PMID[32569471]

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 NPC480950 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
0.6719 Remote Similarity NPC2539
0.629 Remote Similarity NPC34177
0.619 Remote Similarity NPC253807
0.619 Remote Similarity NPC158662
0.6066 Remote Similarity NPC290598
0.6066 Remote Similarity NPC30590
0.6032 Remote Similarity NPC311078
0.5781 Remote Similarity NPC101475
0.5714 Remote Similarity NPC228784
0.5714 Remote Similarity NPC324341
0.5714 Remote Similarity NPC601810
0.5692 Remote Similarity NPC235341
0.5652 Remote Similarity NPC488519
0.5625 Remote Similarity NPC474989
0.5606 Remote Similarity NPC159168
0.5556 Remote Similarity NPC27765
0.5556 Remote Similarity NPC122418
0.5556 Remote Similarity NPC491014
0.5538 Remote Similarity NPC132478
0.5455 Remote Similarity NPC291379
0.5441 Remote Similarity NPC246708
0.5312 Remote Similarity NPC120098
0.5286 Remote Similarity NPC480946
0.5286 Remote Similarity NPC130577
0.5286 Remote Similarity NPC142415
0.5286 Remote Similarity NPC102683
0.5224 Remote Similarity NPC480924
0.5211 Remote Similarity NPC112866
0.5147 Remote Similarity NPC238992
0.5147 Remote Similarity NPC470588
0.5075 Remote Similarity NPC196753
0.507 Remote Similarity NPC610937
0.5068 Remote Similarity NPC202728
0.5068 Remote Similarity NPC158059
0.5068 Remote Similarity NPC164349

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC480950 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