Natural Product: NPC157571

Natural Product IDNPC157571
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Ardisianoside J
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL374984
PubChem CID 16109783
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001553] Triterpenoids

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 SYINIHYNGYHPRE-KORAFSQNSA-N
Standard InCHI InChI=1S/C53H84O23/c1-22-31(58)35(62)38(65)42(69-22)75-41-37(64)33(60)24(19-55)71-45(41)72-25-20-68-44(40(34(25)61)74-43-39(66)36(63)32(59)23(18-54)70-43)73-30-10-11-49(5)26(47(30,2)3)8-12-50(6)27(49)9-13-53-28-16-48(4,21-56)14-15-52(28,46(67)76-53)29(57)17-51(50,53)7/h21-45,54-55,57-66H,8-20H2,1-7H3/t22-,23+,24+,25-,26-,27+,28+,29+,30-,31-,32+,33+,34-,35+,36-,37-,38+,39+,40+,41+,42-,43-,44-,45-,48-,49-,50+,51-,52+,53-/m0/s1
SMILES C[C@H]1[C@@H]([C@H]([C@H]([C@@H](O1)O[C@@H]1[C@H]([C@@H]([C@@H](CO)O[C@H]1O[C@H]1CO[C@H]([C@@H]([C@H]1O)O[C@H]1[C@@H]([C@H]([C@@H]([C@@H](CO)O1)O)O)O)O[C@H]1CC[C@@]2(C)[C@@H](CC[C@]3(C)[C@@H]2CC[C@]24[C@@H]5C[C@](C)(CC[C@@]5([C@@H](C[C@@]32C)O)C(=O)O4)C=O)C1(C)C)O)O)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   1088.54 Volume:   1036.581
?
Van der Waals volume.
Dense:   1.05 LogP:   -0.035
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   0.971
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.063
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   11.0 Rigid Bonds:   55.0
TPSA:   359.97
?
Topological Polar Surface Area.
H-Bond Acceptor:   23.0
H-Bond Donor:   12.0 Rings:   10.0
Heavy Atoms:   23.0

MedChem Properties

QED Drug-Likeness Score:   0.061 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.253 Fsp3:   0.962
MCE-18:   289.385
?
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:   0.911 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:   0.002
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.321 Promiscuous compounds:   0.048

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.501 MDCK Permeability:   -4.973
Pgp-inhibitor:   0.0 Pgp-substrate:   0.434
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):   0.833
20% Bioavailability (F20%):   0.179 30% Bioavailability (F30%):   0.997
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.003 MRP1:   0.002
Plasma Protein Binding (PPB):   57.139% Volume Distribution (VD):   -0.402
Fu: 32.289%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.016
BSEP inhibitor:   0.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   1.0 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.025
HLM stability:   0.001
?
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):  -0.516 Half-life (T1/2):  4.745

ADMET: Toxicity

hERG Blockers:  0.003 hERG Blockers (10um):  0.012
Human Hepatotoxicity (H-HT):  0.759 Drug-induced Liver Injury (DILI):  0.933
AMES Toxicity:  0.99 Rat Oral Acute Toxicity:  0.003
Maximum Recommended Daily Dose:  0.002 Skin Sensitization:  1.0
Carcinogencity:  0.182 Eye Corrosion:  0.0
Eye Irritation:  0.0 Respiratory Toxicity:  0.0
Drug-induced Neurotoxicity:  0.0 Ototoxicity:  0.999
Hematotoxicity:  0.777 Drug-induced Nephrotoxicity:  0.998
Genotoxicity:  0.995 RPMI-8226 Immunitoxicity:  0.353
A549 Cytotoxicity:  0.556 Hek293 Cytotoxicity:  0.482
BCF:   0.516
?
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:   3.373
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.02
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.96
?
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
NPO3803 Ardisia japonica Species Primulaceae Eukaryota whole plants Sendai, Miyagi Prefecture, Japan 2000-Sep PMID[17243725]
NPO3803 Ardisia japonica Species Primulaceae Eukaryota n.a. whole plant n.a. PMID[17243725]
NPO3803 Ardisia japonica Species Primulaceae Eukaryota n.a. whole plant n.a. PMID[17397219]
NPO3803 Ardisia japonica Species Primulaceae Eukaryota n.a. n.a. n.a. PMID[22940450]
NPO3803 Ardisia japonica Species Primulaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO26639 Ardisia crenata Species Primulaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO3803 Ardisia japonica Species Primulaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO26639 Ardisia crenata Species Primulaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO3803 Ardisia japonica Species Primulaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO26639 Ardisia crenata Species Primulaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO3803 Ardisia japonica Species Primulaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO3803 Ardisia japonica Species Primulaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO26639 Ardisia crenata Species Primulaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO3803 Ardisia japonica Species Primulaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO26639 Ardisia crenata Species Primulaceae 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
NPT116 Cell line HL-60 Homo sapiens IC50 = 45600.0 nM PMID[17243725]
NPT81 Cell line A549 Homo sapiens IC50 = 32900.0 nM PMID[17243725]

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 NPC157571 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
0.9072 High Similarity NPC207693
0.8235 Intermediate Similarity NPC40716
0.757 Intermediate Similarity NPC138219
0.757 Intermediate Similarity NPC475234
0.7453 Intermediate Similarity NPC267238
0.7358 Intermediate Similarity NPC253611
0.7358 Intermediate Similarity NPC488782
0.7282 Intermediate Similarity NPC158051
0.7182 Intermediate Similarity NPC473688
0.7091 Intermediate Similarity NPC475630
0.7069 Intermediate Similarity NPC231566
0.7064 Intermediate Similarity NPC148593
0.7037 Intermediate Similarity NPC158367
0.6964 Remote Similarity NPC209798
0.6864 Remote Similarity NPC22709
0.6842 Remote Similarity NPC126753
0.6833 Remote Similarity NPC471626
0.6818 Remote Similarity NPC77717
0.6724 Remote Similarity NPC262567
0.6696 Remote Similarity NPC184805
0.6667 Remote Similarity NPC51579
0.6579 Remote Similarity NPC471375
0.6557 Remote Similarity NPC471431
0.6542 Remote Similarity NPC224003
0.6449 Remote Similarity NPC18724
0.6417 Remote Similarity NPC471429
0.6387 Remote Similarity NPC471425
0.6339 Remote Similarity NPC119628
0.6316 Remote Similarity NPC87393
0.6306 Remote Similarity NPC171741
0.6303 Remote Similarity NPC470622
0.626 Remote Similarity NPC471427
0.6207 Remote Similarity NPC273189
0.6174 Remote Similarity NPC471373
0.6154 Remote Similarity NPC471374
0.6129 Remote Similarity NPC471424
0.6087 Remote Similarity NPC470623
0.6083 Remote Similarity NPC205129
0.6063 Remote Similarity NPC471428
0.6053 Remote Similarity NPC123796
0.6 Remote Similarity NPC471426
0.5873 Remote Similarity NPC471430
0.5806 Remote Similarity NPC189575
0.5669 Remote Similarity NPC106701
0.5652 Remote Similarity NPC323231
0.561 Remote Similarity NPC151543
0.5546 Remote Similarity NPC78034
0.544 Remote Similarity NPC477465
0.5372 Remote Similarity NPC606145
0.5354 Remote Similarity NPC66513
0.5285 Remote Similarity NPC609281
0.528 Remote Similarity NPC610204
0.528 Remote Similarity NPC610461
0.5254 Remote Similarity NPC204392
0.5159 Remote Similarity NPC607904
0.5133 Remote Similarity NPC276758
0.512 Remote Similarity NPC606553
0.5079 Remote Similarity NPC185466
0.504 Remote Similarity NPC207738
0.5039 Remote Similarity NPC603137

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC157571 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