Natural Product: NPC30266

Natural Product IDNPC30266
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
OKQLTVHTONLCTA-SEOQPNOJSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 11968420
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0002049] Terpene glycosides
          • [CHEMONTID:0001580] Triterpene glycosides
            • [CHEMONTID:0002358] Triterpene saponins

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 OKQLTVHTONLCTA-SEOQPNOJSA-N
Standard InCHI InChI=1S/C36H56O10/c1-31(2)13-15-36(30(44)46-28-27(41)26(40)25(39)21(18-37)45-28)16-14-33(4)19(20(36)17-31)7-8-22-32(3)11-10-24(38)35(6,29(42)43)23(32)9-12-34(22,33)5/h7,20-28,37-41H,8-18H2,1-6H3,(H,42,43)/t20?,21-,22?,23?,24?,25-,26+,27-,28+,32?,33?,34?,35?,36?/m1/s1
SMILES CC1(C)CCC2(CCC3(C)C(=CCC4C5(C)CCC(C(C)(C5CCC34C)C(=O)O)O)C2C1)C(=O)O[C@H]1[C@@H]([C@H]([C@@H]([C@@H](CO)O1)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   648.39 Volume:   659.866
?
Van der Waals volume.
Dense:   0.983 LogP:   2.644
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.767
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.173
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   5.0 Rigid Bonds:   34.0
TPSA:   173.98
?
Topological Polar Surface Area.
H-Bond Acceptor:   10.0
H-Bond Donor:   6.0 Rings:   6.0
Heavy Atoms:   10.0

MedChem Properties

QED Drug-Likeness Score:   0.195 GASA:   0.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.35 Fsp3:   0.889
MCE-18:   131.294
?
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:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.818 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.009
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.054
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.132 Promiscuous compounds:   0.032

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.526 MDCK Permeability:   -5.052
Pgp-inhibitor:   0.0 Pgp-substrate:   0.007
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):   0.113
20% Bioavailability (F20%):   0.006 30% Bioavailability (F30%):   0.327
50% Bioavailability (F50%):   0.919

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.099 MRP1:   0.996
Plasma Protein Binding (PPB):   70.851% Volume Distribution (VD):   -0.395
Fu: 21.249%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.98
OATP1B3 inhibitor:   0.998 BCRP inhibitor:   0.0
BSEP inhibitor:   0.009

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.014 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.429 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.365 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.121
HLM stability:   0.337
?
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):  1.245 Half-life (T1/2):  3.414

ADMET: Toxicity

hERG Blockers:  0.009 hERG Blockers (10um):  0.017
Human Hepatotoxicity (H-HT):  0.701 Drug-induced Liver Injury (DILI):  0.512
AMES Toxicity:  0.37 Rat Oral Acute Toxicity:  0.013
Maximum Recommended Daily Dose:  0.107 Skin Sensitization:  0.951
Carcinogencity:  0.117 Eye Corrosion:  0.0
Eye Irritation:  0.002 Respiratory Toxicity:  0.017
Drug-induced Neurotoxicity:  0.005 Ototoxicity:  0.996
Hematotoxicity:  0.223 Drug-induced Nephrotoxicity:  0.631
Genotoxicity:  0.038 RPMI-8226 Immunitoxicity:  0.036
A549 Cytotoxicity:  0.078 Hek293 Cytotoxicity:  0.077
BCF:   0.916
?
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:   4.257
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.072
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.76
?
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
NPO23323 Dianthus superbus Species Caryophyllaceae Eukaryota n.a. n.a. n.a. PMID[15387653]
NPO27907 Dianthus versicolor Species Caryophyllaceae Eukaryota n.a. whole plant n.a. PMID[19290648]
NPO27907 Dianthus versicolor Species Caryophyllaceae Eukaryota aerial parts Changqing, Shangdong Province, China 2004-JUN PMID[19290648]
NPO23323 Dianthus superbus Species Caryophyllaceae Eukaryota n.a. n.a. n.a. PMID[22325941]
NPO27907 Dianthus versicolor Species Caryophyllaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO23323 Dianthus superbus Species Caryophyllaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO23323 Dianthus superbus Species Caryophyllaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO27907 Dianthus versicolor Species Caryophyllaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO23323 Dianthus superbus Species Caryophyllaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO23323 Dianthus superbus Species Caryophyllaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO23323 Dianthus superbus Species Caryophyllaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO27907 Dianthus versicolor Species Caryophyllaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO23323 Dianthus superbus Species Caryophyllaceae 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 NPC30266 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
0.8193 Intermediate Similarity NPC209894
0.8132 Intermediate Similarity NPC609763
0.7629 Intermediate Similarity NPC75287
0.7439 Intermediate Similarity NPC167383
0.7262 Intermediate Similarity NPC237503
0.6737 Remote Similarity NPC473884
0.6737 Remote Similarity NPC157868
0.6727 Remote Similarity NPC135849
0.6598 Remote Similarity NPC192791
0.6598 Remote Similarity NPC242840
0.6591 Remote Similarity NPC306746
0.6559 Remote Similarity NPC29069
0.6465 Remote Similarity NPC40775
0.6465 Remote Similarity NPC251768
0.6465 Remote Similarity NPC159309
0.6465 Remote Similarity NPC86222
0.6452 Remote Similarity NPC214484
0.6404 Remote Similarity NPC199457
0.64 Remote Similarity NPC475591
0.64 Remote Similarity NPC236870
0.6373 Remote Similarity NPC281148
0.6333 Remote Similarity NPC68419
0.6316 Remote Similarity NPC48499
0.6289 Remote Similarity NPC150400
0.6214 Remote Similarity NPC114484
0.6186 Remote Similarity NPC235405
0.6186 Remote Similarity NPC475516
0.6154 Remote Similarity NPC301449
0.6154 Remote Similarity NPC601290
0.6154 Remote Similarity NPC604133
0.6122 Remote Similarity NPC249848
0.6122 Remote Similarity NPC107966
0.6091 Remote Similarity NPC191827
0.6061 Remote Similarity NPC295371
0.6061 Remote Similarity NPC39211
0.6038 Remote Similarity NPC187290
0.6019 Remote Similarity NPC300419
0.6 Remote Similarity NPC469946
0.5941 Remote Similarity NPC223301
0.5941 Remote Similarity NPC171544
0.5941 Remote Similarity NPC112352
0.5882 Remote Similarity NPC30735
0.5843 Remote Similarity NPC191763
0.5841 Remote Similarity NPC487505
0.5825 Remote Similarity NPC10607
0.5825 Remote Similarity NPC473459
0.5825 Remote Similarity NPC46665
0.5824 Remote Similarity NPC46388
0.5773 Remote Similarity NPC90856
0.5769 Remote Similarity NPC63159
0.5769 Remote Similarity NPC235438
0.5714 Remote Similarity NPC222580
0.5714 Remote Similarity NPC51564
0.5714 Remote Similarity NPC297263
0.57 Remote Similarity NPC139894
0.5699 Remote Similarity NPC37739
0.5673 Remote Similarity NPC11551
0.5664 Remote Similarity NPC470218
0.5652 Remote Similarity NPC605954
0.5648 Remote Similarity NPC481030
0.5638 Remote Similarity NPC310014
0.5638 Remote Similarity NPC269315
0.5607 Remote Similarity NPC104372
0.5603 Remote Similarity NPC473645
0.56 Remote Similarity NPC11035
0.5591 Remote Similarity NPC116794
0.5579 Remote Similarity NPC271138
0.5577 Remote Similarity NPC104071
0.5566 Remote Similarity NPC31193
0.5534 Remote Similarity NPC473343
0.5524 Remote Similarity NPC102439
0.5505 Remote Similarity NPC80986
0.549 Remote Similarity NPC473373
0.5487 Remote Similarity NPC481031
0.5481 Remote Similarity NPC75417
0.5474 Remote Similarity NPC7870
0.5474 Remote Similarity NPC137917
0.5474 Remote Similarity NPC75747
0.5465 Remote Similarity NPC155120
0.5465 Remote Similarity NPC288833
0.5455 Remote Similarity NPC31838
0.5455 Remote Similarity NPC481078
0.5424 Remote Similarity NPC258617
0.5417 Remote Similarity NPC102914
0.5417 Remote Similarity NPC110139
0.5417 Remote Similarity NPC108709
0.5412 Remote Similarity NPC282616
0.5385 Remote Similarity NPC475171
0.5364 Remote Similarity NPC96641
0.5364 Remote Similarity NPC480473
0.5364 Remote Similarity NPC163183
0.5364 Remote Similarity NPC480474
0.5361 Remote Similarity NPC220984
0.5347 Remote Similarity NPC475208
0.5312 Remote Similarity NPC48249
0.5294 Remote Similarity NPC86372
0.5283 Remote Similarity NPC109588
0.5283 Remote Similarity NPC309714
0.5273 Remote Similarity NPC481079
0.5263 Remote Similarity NPC204407
0.5263 Remote Similarity NPC79643
0.5238 Remote Similarity NPC246708
0.5234 Remote Similarity NPC480475
0.5229 Remote Similarity NPC64715
0.5208 Remote Similarity NPC606107
0.52 Remote Similarity NPC47063
0.5172 Remote Similarity NPC135904
0.5172 Remote Similarity NPC123199
0.5152 Remote Similarity NPC128925
0.5152 Remote Similarity NPC256798
0.5149 Remote Similarity NPC204458
0.5149 Remote Similarity NPC189884
0.5149 Remote Similarity NPC473481
0.5149 Remote Similarity NPC138334
0.5138 Remote Similarity NPC475504
0.5128 Remote Similarity NPC475160
0.5128 Remote Similarity NPC100639
0.5128 Remote Similarity NPC473714
0.5116 Remote Similarity NPC172361
0.5102 Remote Similarity NPC31839
0.5098 Remote Similarity NPC1046
0.5089 Remote Similarity NPC295823
0.5089 Remote Similarity NPC174720
0.5089 Remote Similarity NPC241909
0.5089 Remote Similarity NPC475467
0.5086 Remote Similarity NPC475899
0.5049 Remote Similarity NPC179434
0.5042 Remote Similarity NPC481080
0.5041 Remote Similarity NPC484942

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC30266 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