Natural Product: NPC480947

Natural Product IDNPC480947
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
AFHHNZZSFNHMED-PMGZRRHCSA-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 AFHHNZZSFNHMED-PMGZRRHCSA-N
Standard InCHI InChI=1S/C53H86O23/c1-48(2)14-15-53(68)23(16-48)22-8-9-29-50(5)12-11-31(49(3,4)28(50)10-13-51(29,6)52(22,7)17-30(53)58)73-47-43(76-45-40(67)37(64)33(60)25(19-55)70-45)41(35(62)27(21-57)72-47)74-46-42(38(65)34(61)26(20-56)71-46)75-44-39(66)36(63)32(59)24(18-54)69-44/h8,23-29,31-47,54-57,59-68H,9-21H2,1-7H3/t23-,24+,25-,26+,27+,28-,29+,31-,32+,33-,34+,35+,36-,37+,38-,39+,40-,41-,42+,43+,44-,45+,46-,47-,50-,51+,52+,53+/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](CO)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[C@@H]1[C@H]([C@@H]([C@H]([C@H](CO)O1)O)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   1090.56 Volume:   1045.138
?
Van der Waals volume.
Dense:   1.043 LogP:   -0.293
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   0.975
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.887
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   12.0 Rigid Bonds:   51.0
TPSA:   374.13
?
Topological Polar Surface Area.
H-Bond Acceptor:   23.0
H-Bond Donor:   14.0 Rings:   9.0
Heavy Atoms:   23.0

MedChem Properties

QED Drug-Likeness Score:   0.07 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.834 Fsp3:   0.943
MCE-18:   195.767
?
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:   0.892 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.002
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.001
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.325 Promiscuous compounds:   0.3

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -7.032 MDCK Permeability:   -5.001
Pgp-inhibitor:   0.0 Pgp-substrate:   0.205
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):   0.997
20% Bioavailability (F20%):   0.344 30% Bioavailability (F30%):   1.0
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.01 MRP1:   0.004
Plasma Protein Binding (PPB):   71.196% Volume Distribution (VD):   -0.384
Fu: 16.55%
?
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:   0.044
?
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):  -0.429 Half-life (T1/2):  3.413

ADMET: Toxicity

hERG Blockers:  0.0 hERG Blockers (10um):  0.001
Human Hepatotoxicity (H-HT):  0.827 Drug-induced Liver Injury (DILI):  0.937
AMES Toxicity:  0.985 Rat Oral Acute Toxicity:  0.0
Maximum Recommended Daily Dose:  0.0 Skin Sensitization:  1.0
Carcinogencity:  0.145 Eye Corrosion:  0.0
Eye Irritation:  0.0 Respiratory Toxicity:  0.0
Drug-induced Neurotoxicity:  0.0 Ototoxicity:  1.0
Hematotoxicity:  0.657 Drug-induced Nephrotoxicity:  0.999
Genotoxicity:  0.309 RPMI-8226 Immunitoxicity:  0.265
A549 Cytotoxicity:  0.93 Hek293 Cytotoxicity:  0.4
BCF:   0.883
?
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:   3.345
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.791
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.766
?
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 NPC480947 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
0.8384 Intermediate Similarity NPC469947
0.8384 Intermediate Similarity NPC480948
0.7685 Intermediate Similarity NPC181066
0.7429 Intermediate Similarity NPC480936
0.6667 Remote Similarity NPC23275
0.6566 Remote Similarity NPC480951
0.6195 Remote Similarity NPC480939
0.619 Remote Similarity NPC109079
0.6078 Remote Similarity NPC480943
0.6075 Remote Similarity NPC213674
0.5963 Remote Similarity NPC30289
0.5962 Remote Similarity NPC164194
0.5893 Remote Similarity NPC302887
0.5877 Remote Similarity NPC160452
0.5818 Remote Similarity NPC114304
0.5752 Remote Similarity NPC79718
0.5648 Remote Similarity NPC25605
0.5636 Remote Similarity NPC469946
0.5625 Remote Similarity NPC10607
0.5625 Remote Similarity NPC2370
0.5526 Remote Similarity NPC470514
0.5487 Remote Similarity NPC480475
0.5424 Remote Similarity NPC36831
0.5417 Remote Similarity NPC268184
0.5339 Remote Similarity NPC80986
0.5315 Remote Similarity NPC127056
0.531 Remote Similarity NPC112352
0.531 Remote Similarity NPC478066
0.5288 Remote Similarity NPC8039
0.5288 Remote Similarity NPC120123
0.5269 Remote Similarity NPC2539
0.5268 Remote Similarity NPC488561
0.5259 Remote Similarity NPC222580
0.5259 Remote Similarity NPC123796
0.5259 Remote Similarity NPC470513
0.525 Remote Similarity NPC62725
0.5238 Remote Similarity NPC484061
0.5238 Remote Similarity NPC484062
0.5221 Remote Similarity NPC263756
0.5221 Remote Similarity NPC80843
0.5221 Remote Similarity NPC22956
0.5217 Remote Similarity NPC44716
0.5217 Remote Similarity NPC46665
0.5175 Remote Similarity NPC192791
0.5172 Remote Similarity NPC475591
0.5172 Remote Similarity NPC63159
0.5172 Remote Similarity NPC236870
0.5167 Remote Similarity NPC609281
0.5164 Remote Similarity NPC475287
0.5164 Remote Similarity NPC610204
0.5156 Remote Similarity NPC470876
0.5135 Remote Similarity NPC12288
0.5133 Remote Similarity NPC472949
0.513 Remote Similarity NPC117714
0.5128 Remote Similarity NPC297263
0.5126 Remote Similarity NPC606145
0.5124 Remote Similarity NPC606553
0.5116 Remote Similarity NPC484059
0.5116 Remote Similarity NPC484060
0.5086 Remote Similarity NPC251768
0.5086 Remote Similarity NPC164389
0.5086 Remote Similarity NPC148603
0.5083 Remote Similarity NPC470477
0.5079 Remote Similarity NPC277212
0.5079 Remote Similarity NPC30279
0.5079 Remote Similarity NPC46823
0.5048 Remote Similarity NPC606107
0.5043 Remote Similarity NPC256133
0.5043 Remote Similarity NPC162574
0.5041 Remote Similarity NPC207738
0.5041 Remote Similarity NPC607904

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC480947 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