Natural Product: NPC477194

Natural Product IDNPC477194
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
3beta-[3-O-(alpha-L-Arabinopyranosyl)-beta-D-glucopyranuronosyloxy]-16alpha-acetoxy-28-hydroxy-21beta,22alpha-bis(angeloyloxy)oleana-12-ene
IUPAC Name (2S,3S,4S,5R,6R)-6-[[(3S,4aR,6aR,6bS,8R,8aR,9R,10R,12aS,14aR,14bR)-8-acetyloxy-8a-(hydroxymethyl)-4,4,6a,6b,11,11,14b-heptamethyl-9,10-bis[[(Z)-2-methylbut-2-enoyl]oxy]-1,2,3,4a,5,6,7,8,9,10,12,12a,14,14a-tetradecahydropicen-3-yl]oxy]-3,5-dihydroxy-4-[(2S,3R,4S,5S)-3,4,5-trihydroxyoxan-2-yl]oxyoxane-2-carboxylic acid
Synonyms gordonoside D
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 44140531
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 KYEPMMYYOBDIEI-KNUPQYEMSA-N
Standard InCHI InChI=1S/C53H80O18/c1-13-25(3)44(63)70-41-42(71-45(64)26(4)14-2)53(24-54)29(21-48(41,6)7)28-15-16-32-50(10)19-18-33(49(8,9)31(50)17-20-51(32,11)52(28,12)22-34(53)66-27(5)55)67-47-38(60)39(37(59)40(69-47)43(61)62)68-46-36(58)35(57)30(56)23-65-46/h13-15,29-42,46-47,54,56-60H,16-24H2,1-12H3,(H,61,62)/b25-13-,26-14-/t29-,30-,31-,32+,33-,34+,35-,36+,37-,38+,39-,40-,41-,42-,46-,47+,50-,51+,52+,53-/m0/s1
SMILES C/C=C(/C)\C(=O)O[C@H]1[C@@H](C(C[C@@H]2[C@]1([C@@H](C[C@@]3(C2=CC[C@H]4[C@]3(CC[C@@H]5[C@@]4(CC[C@@H](C5(C)C)O[C@H]6[C@@H]([C@H]([C@@H]([C@H](O6)C(=O)O)O)O[C@H]7[C@@H]([C@H]([C@H](CO7)O)O)O)O)C)C)C)OC(=O)C)CO)(C)C)OC(=O)/C(=C\C)/C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   1004.53 Volume:   1005.117
?
Van der Waals volume.
Dense:   0.999 LogP:   3.189
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.05
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.478
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The logarithm of aqueous solubility value.
Rotatable Bonds:   14.0 Rigid Bonds:   44.0
TPSA:   274.5
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Topological Polar Surface Area.
H-Bond Acceptor:   18.0
H-Bond Donor:   7.0 Rings:   7.0
Heavy Atoms:   18.0

MedChem Properties

QED Drug-Likeness Score:   0.051 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.612 Fsp3:   0.811
MCE-18:   162.75
?
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:   0.971 Fluc inhibitor:   0.005
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.002
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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:   0.175 Promiscuous compounds:   0.221

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.839 MDCK Permeability:   -5.221
Pgp-inhibitor:   0.0 Pgp-substrate:   0.066
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):   0.001
20% Bioavailability (F20%):   0.593 30% Bioavailability (F30%):   0.647
50% Bioavailability (F50%):   0.999

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.004 MRP1:   0.999
Plasma Protein Binding (PPB):   79.215% Volume Distribution (VD):   -0.604
Fu: 13.305%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.335 BCRP inhibitor:   0.0
BSEP inhibitor:   0.007

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.014
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.016 CYP3A4-substrate:   0.945
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.725
HLM stability:   0.938
?
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):  0.251 Half-life (T1/2):  2.363

ADMET: Toxicity

hERG Blockers:  0.001 hERG Blockers (10um):  0.004
Human Hepatotoxicity (H-HT):  0.473 Drug-induced Liver Injury (DILI):  0.986
AMES Toxicity:  0.902 Rat Oral Acute Toxicity:  0.055
Maximum Recommended Daily Dose:  0.057 Skin Sensitization:  1.0
Carcinogencity:  0.341 Eye Corrosion:  0.0
Eye Irritation:  0.007 Respiratory Toxicity:  0.076
Drug-induced Neurotoxicity:  0.006 Ototoxicity:  0.966
Hematotoxicity:  0.875 Drug-induced Nephrotoxicity:  0.997
Genotoxicity:  0.963 RPMI-8226 Immunitoxicity:  0.111
A549 Cytotoxicity:  0.935 Hek293 Cytotoxicity:  0.553
BCF:   0.277
?
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:   3.634
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.73
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.745
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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
NPO31118 Gordonia chrysandra Species Theaceae Eukaryota Roots Yunnan Province, China 2005-MAY PMID[20560647]
NPO31118 Gordonia chrysandra Species Theaceae Eukaryota n.a. stem n.a. PMID[21473609]
NPO31118 Gordonia chrysandra Species Theaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]

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
NPT180 Cell line HCT-8 Homo sapiens IC50 > 10000 nM PMID[20560647]
NPT181 Cell line Bel-7402 Homo sapiens IC50 > 10000 nM PMID[20560647]
NPT547 Cell line BGC-823 Homo sapiens IC50 > 10000 nM PMID[20560647]
NPT81 Cell line A549 Homo sapiens IC50 > 10000 nM PMID[20560647]
NPT179 Cell line A2780 Homo sapiens IC50 > 10000 nM PMID[20560647]

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 NPC477194 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
0.9286 High Similarity NPC477192
0.8173 Intermediate Similarity NPC477193
0.757 Intermediate Similarity NPC477191
0.7364 Intermediate Similarity NPC477195
0.7297 Intermediate Similarity NPC477196
0.6903 Remote Similarity NPC477197
0.6466 Remote Similarity NPC11242
0.6422 Remote Similarity NPC6377
0.6422 Remote Similarity NPC208381
0.6417 Remote Similarity NPC602995
0.6179 Remote Similarity NPC478597
0.616 Remote Similarity NPC271610
0.608 Remote Similarity NPC478596
0.6034 Remote Similarity NPC603832
0.6033 Remote Similarity NPC478600
0.6033 Remote Similarity NPC478599
0.592 Remote Similarity NPC4749
0.5873 Remote Similarity NPC178264
0.5794 Remote Similarity NPC192765
0.5776 Remote Similarity NPC159309
0.5776 Remote Similarity NPC86222
0.5748 Remote Similarity NPC484061
0.5748 Remote Similarity NPC484062
0.5748 Remote Similarity NPC478598
0.5738 Remote Similarity NPC25998
0.5703 Remote Similarity NPC476780
0.5615 Remote Similarity NPC484833
0.5583 Remote Similarity NPC114484
0.5581 Remote Similarity NPC265841
0.5573 Remote Similarity NPC476777
0.5547 Remote Similarity NPC329828
0.5546 Remote Similarity NPC611191
0.5538 Remote Similarity NPC312650
0.5504 Remote Similarity NPC21691
0.5492 Remote Similarity NPC477077
0.5462 Remote Similarity NPC488308
0.5447 Remote Similarity NPC329976
0.544 Remote Similarity NPC609119
0.5426 Remote Similarity NPC71391
0.541 Remote Similarity NPC477079
0.5385 Remote Similarity NPC470518
0.5345 Remote Similarity NPC114441
0.5344 Remote Similarity NPC476774
0.5268 Remote Similarity NPC480937
0.5259 Remote Similarity NPC476775
0.5231 Remote Similarity NPC46823
0.5229 Remote Similarity NPC283849
0.5221 Remote Similarity NPC488309
0.52 Remote Similarity NPC187290
0.5185 Remote Similarity NPC302543
0.5161 Remote Similarity NPC301449
0.5161 Remote Similarity NPC601290
0.5159 Remote Similarity NPC605294
0.5072 Remote Similarity NPC476778
0.5043 Remote Similarity NPC603870
0.5038 Remote Similarity NPC283417
0.5038 Remote Similarity NPC200049
0.5037 Remote Similarity NPC476779
0.5036 Remote Similarity NPC476776

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC477194 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
0.5526 Remote Similarity NPD8295 Clinical (unspecified phase)

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