Natural Product: NPC477191

Natural Product IDNPC477191
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,23,28-trihydroxy-21beta,22alpha-bis(angeloyloxy)oleana-12-ene
IUPAC Name (2S,3S,4S,5R,6R)-6-[[(3S,4R,4aR,6aR,6bS,8R,8aR,9R,10R,12aS,14aR,14bR)-8-hydroxy-4,8a-bis(hydroxymethyl)-4,6a,6b,11,11,14b-hexamethyl-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
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 44140277
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 WGPUVZRQQKVFDP-NFNBLRENSA-N
Standard InCHI InChI=1S/C51H78O18/c1-11-24(3)42(62)68-39-40(69-43(63)25(4)12-2)51(23-53)27(19-46(39,5)6)26-13-14-30-47(7)17-16-32(48(8,22-52)29(47)15-18-49(30,9)50(26,10)20-31(51)55)65-45-36(59)37(35(58)38(67-45)41(60)61)66-44-34(57)33(56)28(54)21-64-44/h11-13,27-40,44-45,52-59H,14-23H2,1-10H3,(H,60,61)/b24-11-,25-12-/t27-,28-,29+,30+,31+,32-,33-,34+,35-,36+,37-,38-,39-,40-,44-,45+,47-,48-,49+,50+,51-/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]([C@@]5(C)CO)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)O)CO)(C)C)OC(=O)/C(=C\C)/C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   978.52 Volume:   973.162
?
Van der Waals volume.
Dense:   1.006 LogP:   2.098
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.432
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.413
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The logarithm of aqueous solubility value.
Rotatable Bonds:   13.0 Rigid Bonds:   43.0
TPSA:   288.66
?
Topological Polar Surface Area.
H-Bond Acceptor:   18.0
H-Bond Donor:   9.0 Rings:   7.0
Heavy Atoms:   18.0

MedChem Properties

QED Drug-Likeness Score:   0.062 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.614 Fsp3:   0.824
MCE-18:   161.355
?
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:   0.899 Fluc inhibitor:   0.004
?
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:   0.184 Promiscuous compounds:   0.163

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.03 MDCK Permeability:   -5.201
Pgp-inhibitor:   0.0 Pgp-substrate:   0.077
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%):   0.655 30% Bioavailability (F30%):   0.322
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.067 MRP1:   0.971
Plasma Protein Binding (PPB):   77.696% Volume Distribution (VD):   -0.53
Fu: 15.839%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.997
OATP1B3 inhibitor:   0.002 BCRP inhibitor:   0.006
BSEP inhibitor:   0.017

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.019
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.016 CYP3A4-substrate:   0.124
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.013
HLM stability:   0.266
?
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):  0.188 Half-life (T1/2):  2.315

ADMET: Toxicity

hERG Blockers:  0.001 hERG Blockers (10um):  0.003
Human Hepatotoxicity (H-HT):  0.515 Drug-induced Liver Injury (DILI):  0.95
AMES Toxicity:  0.888 Rat Oral Acute Toxicity:  0.084
Maximum Recommended Daily Dose:  0.055 Skin Sensitization:  1.0
Carcinogencity:  0.579 Eye Corrosion:  0.0
Eye Irritation:  0.004 Respiratory Toxicity:  0.145
Drug-induced Neurotoxicity:  0.002 Ototoxicity:  0.972
Hematotoxicity:  0.851 Drug-induced Nephrotoxicity:  0.997
Genotoxicity:  0.93 RPMI-8226 Immunitoxicity:  0.123
A549 Cytotoxicity:  0.945 Hek293 Cytotoxicity:  0.631
BCF:   0.31
?
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:   3.557
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.625
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.527
?
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
NPT181 Cell line Bel-7402 Homo sapiens IC50 = 4700 nM PMID[20560647]
NPT179 Cell line A2780 Homo sapiens IC50 = 5500 nM PMID[20560647]
NPT180 Cell line HCT-8 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]

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 NPC477191 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
0.9278 High Similarity NPC477193
0.9091 High Similarity NPC477195
0.9 High Similarity NPC477196
0.8155 Intermediate Similarity NPC477192
0.8073 Intermediate Similarity NPC478597
0.7928 Intermediate Similarity NPC478596
0.757 Intermediate Similarity NPC477194
0.75 Intermediate Similarity NPC477197
0.7304 Intermediate Similarity NPC476780
0.7105 Intermediate Similarity NPC602995
0.7037 Intermediate Similarity NPC603832
0.6991 Remote Similarity NPC478600
0.6991 Remote Similarity NPC478599
0.6807 Remote Similarity NPC271610
0.6694 Remote Similarity NPC476777
0.6639 Remote Similarity NPC478598
0.6522 Remote Similarity NPC25998
0.6522 Remote Similarity NPC107536
0.6522 Remote Similarity NPC280029
0.6522 Remote Similarity NPC9470
0.6435 Remote Similarity NPC11242
0.6417 Remote Similarity NPC82380
0.6417 Remote Similarity NPC244296
0.6339 Remote Similarity NPC611191
0.6179 Remote Similarity NPC488308
0.6179 Remote Similarity NPC476774
0.6148 Remote Similarity NPC329828
0.6134 Remote Similarity NPC478155
0.6129 Remote Similarity NPC312650
0.6111 Remote Similarity NPC603870
0.6032 Remote Similarity NPC110700
0.6 Remote Similarity NPC478154
0.5968 Remote Similarity NPC470518
0.5946 Remote Similarity NPC6377
0.5946 Remote Similarity NPC208381
0.5938 Remote Similarity NPC476775
0.592 Remote Similarity NPC265841
0.5891 Remote Similarity NPC488309
0.5887 Remote Similarity NPC4749
0.5859 Remote Similarity NPC473160
0.5827 Remote Similarity NPC476779
0.576 Remote Similarity NPC192765
0.5714 Remote Similarity NPC178264
0.5469 Remote Similarity NPC21691
0.5462 Remote Similarity NPC484833
0.5447 Remote Similarity NPC472267
0.5447 Remote Similarity NPC115656
0.541 Remote Similarity NPC329976
0.5403 Remote Similarity NPC609119
0.5379 Remote Similarity NPC11577
0.5379 Remote Similarity NPC141600
0.5373 Remote Similarity NPC476778
0.537 Remote Similarity NPC224121
0.5333 Remote Similarity NPC476776
0.5328 Remote Similarity NPC477077
0.5327 Remote Similarity NPC28198
0.5327 Remote Similarity NPC476123
0.5312 Remote Similarity NPC252289
0.5312 Remote Similarity NPC305793
0.5278 Remote Similarity NPC177246
0.521 Remote Similarity NPC159309
0.521 Remote Similarity NPC86222
0.5149 Remote Similarity NPC302543
0.5116 Remote Similarity NPC269484
0.5116 Remote Similarity NPC97918
0.5113 Remote Similarity NPC484059
0.5113 Remote Similarity NPC484060
0.5079 Remote Similarity NPC478152
0.5078 Remote Similarity NPC284449
0.5077 Remote Similarity NPC46823
0.5041 Remote Similarity NPC114484
0.5039 Remote Similarity NPC252657
0.5039 Remote Similarity NPC88311
0.5038 Remote Similarity NPC71391

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC477191 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
0.5086 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