Natural Product: NPC480936

Natural Product IDNPC480936
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
WEGZYJOUZWSUKZ-ZCRHZSKESA-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]

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 WEGZYJOUZWSUKZ-ZCRHZSKESA-N
Standard InCHI InChI=1S/C47H74O19/c1-42(2)14-15-47(60)21(16-42)20-8-9-25-44(5)12-11-27(43(3,4)24(44)10-13-45(25,6)46(20,7)17-26(47)50)63-40-34(57)35(33(56)36(65-40)38(58)59)64-41-37(31(54)29(52)23(19-49)62-41)66-39-32(55)30(53)28(51)22(18-48)61-39/h8,21-25,27-37,39-41,48-49,51-57,60H,9-19H2,1-7H3,(H,58,59)/t21-,22+,23+,24-,25+,27-,28+,29+,30-,31-,32+,33-,34+,35-,36-,37+,39-,40+,41-,44-,45+,46+,47+/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)CC2=O)O[C@H]1[C@@H]([C@H]([C@@H]([C@@H](C(=O)O)O1)O)O[C@H]1[C@@H]([C@H]([C@@H]([C@@H](CO)O1)O)O)O[C@H]1[C@@H]([C@H]([C@@H]([C@@H](CO)O1)O)O)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   942.48 Volume:   912.121
?
Van der Waals volume.
Dense:   1.033 LogP:   0.255
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.637
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.622
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   9.0 Rigid Bonds:   46.0
TPSA:   312.05
?
Topological Polar Surface Area.
H-Bond Acceptor:   19.0
H-Bond Donor:   11.0 Rings:   8.0
Heavy Atoms:   19.0

MedChem Properties

QED Drug-Likeness Score:   0.104 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.399 Fsp3:   0.915
MCE-18:   176.356
?
MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Accepted
Pfizer Rule:   Rejected GSK Rule:   Accepted
Golden Triangle Rule:   Accepted BMS Rule:   1
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.816 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.006
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.003
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.235 Promiscuous compounds:   0.23

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.314 MDCK Permeability:   -5.099
Pgp-inhibitor:   0.0 Pgp-substrate:   0.148
PAMPA:   1.0
?
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):   0.477
20% Bioavailability (F20%):   0.06 30% Bioavailability (F30%):   0.924
50% Bioavailability (F50%):   0.996

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.734
Plasma Protein Binding (PPB):   69.071% Volume Distribution (VD):   -0.528
Fu: 21.867%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.0
BSEP inhibitor:   0.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.001 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.001
HLM stability:   0.015
?
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):  -0.051 Half-life (T1/2):  3.664

ADMET: Toxicity

hERG Blockers:  0.001 hERG Blockers (10um):  0.001
Human Hepatotoxicity (H-HT):  0.81 Drug-induced Liver Injury (DILI):  0.966
AMES Toxicity:  0.938 Rat Oral Acute Toxicity:  0.003
Maximum Recommended Daily Dose:  0.002 Skin Sensitization:  1.0
Carcinogencity:  0.197 Eye Corrosion:  0.0
Eye Irritation:  0.0 Respiratory Toxicity:  0.001
Drug-induced Neurotoxicity:  0.0 Ototoxicity:  0.999
Hematotoxicity:  0.698 Drug-induced Nephrotoxicity:  0.998
Genotoxicity:  0.858 RPMI-8226 Immunitoxicity:  0.098
A549 Cytotoxicity:  0.538 Hek293 Cytotoxicity:  0.239
BCF:   0.574
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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:   3.256
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.646
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.712
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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
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 = 68.9 % 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 NPC480936 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
0.8365 Intermediate Similarity NPC469947
0.8365 Intermediate Similarity NPC480948
0.7699 Intermediate Similarity NPC181066
0.7429 Intermediate Similarity NPC480947
0.7129 Intermediate Similarity NPC480943
0.6726 Remote Similarity NPC23275
0.6283 Remote Similarity NPC159309
0.6283 Remote Similarity NPC86222
0.6271 Remote Similarity NPC480939
0.6207 Remote Similarity NPC114484
0.6168 Remote Similarity NPC480951
0.608 Remote Similarity NPC21691
0.6053 Remote Similarity NPC114304
0.6 Remote Similarity NPC4749
0.5983 Remote Similarity NPC302887
0.5966 Remote Similarity NPC160452
0.5909 Remote Similarity NPC164194
0.5841 Remote Similarity NPC114441
0.5752 Remote Similarity NPC25605
0.5738 Remote Similarity NPC11242
0.5652 Remote Similarity NPC472949
0.5593 Remote Similarity NPC251768
0.5556 Remote Similarity NPC192791
0.5462 Remote Similarity NPC484061
0.5462 Remote Similarity NPC484062
0.5455 Remote Similarity NPC64715
0.5447 Remote Similarity NPC120116
0.5417 Remote Similarity NPC118440
0.541 Remote Similarity NPC114692
0.5385 Remote Similarity NPC157868
0.5357 Remote Similarity NPC480937
0.5339 Remote Similarity NPC22956
0.5338 Remote Similarity NPC484059
0.5338 Remote Similarity NPC484060
0.5333 Remote Similarity NPC44716
0.5328 Remote Similarity NPC95437
0.5321 Remote Similarity NPC606107
0.5308 Remote Similarity NPC277212
0.5308 Remote Similarity NPC30279
0.5308 Remote Similarity NPC46823
0.5289 Remote Similarity NPC475591
0.5289 Remote Similarity NPC236870
0.5285 Remote Similarity NPC236657
0.5259 Remote Similarity NPC12288
0.5254 Remote Similarity NPC6377
0.5254 Remote Similarity NPC488561
0.5254 Remote Similarity NPC208381
0.5246 Remote Similarity NPC131469
0.5242 Remote Similarity NPC301449
0.5242 Remote Similarity NPC324875
0.5242 Remote Similarity NPC292677
0.5242 Remote Similarity NPC601290
0.5225 Remote Similarity NPC31839
0.5207 Remote Similarity NPC180550
0.5207 Remote Similarity NPC35405
0.5185 Remote Similarity NPC111466
0.5182 Remote Similarity NPC484063
0.5182 Remote Similarity NPC484064
0.5169 Remote Similarity NPC127056
0.5167 Remote Similarity NPC75417
0.5161 Remote Similarity NPC281148
0.5159 Remote Similarity NPC475486
0.5149 Remote Similarity NPC225791
0.513 Remote Similarity NPC480938
0.5115 Remote Similarity NPC283417
0.5115 Remote Similarity NPC200049
0.5083 Remote Similarity NPC80843
0.5083 Remote Similarity NPC469946
0.5082 Remote Similarity NPC40775
0.5078 Remote Similarity NPC471962
0.5042 Remote Similarity NPC109079
0.5039 Remote Similarity NPC187290
0.5038 Remote Similarity NPC251263
0.5037 Remote Similarity NPC258617
0.5036 Remote Similarity NPC302543

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC480936 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