Natural Product: NPC204392

Natural Product IDNPC204392
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
3Beta-[(O-Alpha-L-Rhamnopyranosyl-(1->2)-O-[O-Beta-D-Glucopyranosyl-(1->4)]-Alpha-L-Arabinopyranosyl)Oxy]Lup-20(29)-En-28-Oic Acid
IUPAC Name (1R,3aS,5aR,5bR,7aR,9S,11aR,11bR,13aR,13bR)-9-[(2S,3R,4S,5S)-4-hydroxy-5-[(2S,3R,4S,5S,6R)-3,4,5-trihydroxy-6-(hydroxymethyl)oxan-2-yl]oxy-3-[(2S,3R,4R,5R,6S)-3,4,5-trihydroxy-6-methyloxan-2-yl]oxyoxan-2-yl]oxy-5a,5b,8,8,11a-pentamethyl-1-prop-1-en-2-yl-1,2,3,4,5,6,7,7a,9,10,11,11b,12,13,13a,13b-hexadecahydrocyclopenta[a]chrysene-3a-carboxylic acid
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL500097
PubChem CID 11672401
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 WOOPUJXMROOOPP-KSYIBZFCSA-N
Standard InCHI InChI=1S/C47H76O16/c1-21(2)23-11-16-47(42(56)57)18-17-45(7)24(30(23)47)9-10-28-44(6)14-13-29(43(4,5)27(44)12-15-46(28,45)8)62-41-38(63-39-36(54)34(52)31(49)22(3)59-39)33(51)26(20-58-41)61-40-37(55)35(53)32(50)25(19-48)60-40/h22-41,48-55H,1,9-20H2,2-8H3,(H,56,57)/t22-,23-,24+,25+,26-,27-,28+,29-,30+,31-,32+,33-,34+,35-,36+,37+,38+,39-,40-,41-,44-,45+,46+,47-/m0/s1
SMILES C=C(C)[C@@H]1CC[C@@]2(CC[C@]3(C)[C@H](CC[C@@H]4[C@@]5(C)CC[C@@H](C(C)(C)[C@@H]5CC[C@@]34C)O[C@H]3[C@@H]([C@H]([C@H](CO3)O[C@H]3[C@@H]([C@H]([C@@H]([C@@H](CO)O3)O)O)O)O)O[C@H]3[C@@H]([C@@H]([C@H]([C@H](C)O3)O)O)O)[C@@H]12)C(=O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   896.51 Volume:   888.387
?
Van der Waals volume.
Dense:   1.009 LogP:   1.767
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.431
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.95
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The logarithm of aqueous solubility value.
Rotatable Bonds:   9.0 Rigid Bonds:   45.0
TPSA:   254.52
?
Topological Polar Surface Area.
H-Bond Acceptor:   16.0
H-Bond Donor:   9.0 Rings:   8.0
Heavy Atoms:   16.0

MedChem Properties

QED Drug-Likeness Score:   0.119 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.219 Fsp3:   0.936
MCE-18:   170.264
?
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:   0.951 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.003
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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:   0.211 Promiscuous compounds:   0.181

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.048 MDCK Permeability:   -5.134
Pgp-inhibitor:   0.0 Pgp-substrate:   0.101
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):   0.002
20% Bioavailability (F20%):   0.031 30% Bioavailability (F30%):   0.765
50% Bioavailability (F50%):   0.985

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.001 MRP1:   0.776
Plasma Protein Binding (PPB):   80.923% Volume Distribution (VD):   -0.493
Fu: 13.557%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.996 BCRP inhibitor:   0.001
BSEP inhibitor:   0.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.057 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.019 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.003
HLM stability:   0.0
?
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):  0.155 Half-life (T1/2):  2.722

ADMET: Toxicity

hERG Blockers:  0.008 hERG Blockers (10um):  0.008
Human Hepatotoxicity (H-HT):  0.736 Drug-induced Liver Injury (DILI):  0.958
AMES Toxicity:  0.878 Rat Oral Acute Toxicity:  0.003
Maximum Recommended Daily Dose:  0.004 Skin Sensitization:  1.0
Carcinogencity:  0.191 Eye Corrosion:  0.0
Eye Irritation:  0.006 Respiratory Toxicity:  0.006
Drug-induced Neurotoxicity:  0.0 Ototoxicity:  0.998
Hematotoxicity:  0.571 Drug-induced Nephrotoxicity:  0.964
Genotoxicity:  0.139 RPMI-8226 Immunitoxicity:  0.066
A549 Cytotoxicity:  0.287 Hek293 Cytotoxicity:  0.158
BCF:   0.996
?
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:   3.442
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.864
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.145
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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
NPO31082 Pulsatilla koreana Species Ranunculaceae Eukaryota n.a. root n.a. PMID[15473660]
NPO31082 Pulsatilla koreana Species Ranunculaceae Eukaryota Roots n.a. n.a. PMID[15730260]
NPO31082 Pulsatilla koreana Species Ranunculaceae Eukaryota Roots n.a. n.a. PMID[24360605]
NPO31082 Pulsatilla koreana Species Ranunculaceae 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
NPT81 Cell line A549 Homo sapiens ED50 > 10.0 ug ml-1 PMID[20056545]
NPT81 Cell line A549 Homo sapiens IC50 > 50000.0 nM PMID[20022253]
NPT579 Cell line DLD-1 Homo sapiens IC50 > 50000.0 nM PMID[22779787]
NPT81 Cell line A549 Homo sapiens IC50 > 200000.0 nM PMID[12161151]
NPT579 Cell line DLD-1 Homo sapiens IC50 > 200000.0 nM PubChem BioAssay data set

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 NPC204392 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
0.9222 High Similarity NPC240734
0.7879 Intermediate Similarity NPC275668
0.7255 Intermediate Similarity NPC91838
0.7188 Intermediate Similarity NPC51947
0.6698 Remote Similarity NPC257468
0.6481 Remote Similarity NPC488206
0.6458 Remote Similarity NPC88744
0.625 Remote Similarity NPC488205
0.6147 Remote Similarity NPC139044
0.6117 Remote Similarity NPC488208
0.5929 Remote Similarity NPC323359
0.5897 Remote Similarity NPC151543
0.5877 Remote Similarity NPC488564
0.5847 Remote Similarity NPC471384
0.5798 Remote Similarity NPC166422
0.5798 Remote Similarity NPC470622
0.5763 Remote Similarity NPC126753
0.5702 Remote Similarity NPC54636
0.5688 Remote Similarity NPC488207
0.5631 Remote Similarity NPC224414
0.5575 Remote Similarity NPC471383
0.5526 Remote Similarity NPC470478
0.5435 Remote Similarity NPC4309
0.5421 Remote Similarity NPC236753
0.5391 Remote Similarity NPC123796
0.5364 Remote Similarity NPC25605
0.5339 Remote Similarity NPC184805
0.5328 Remote Similarity NPC323341
0.5319 Remote Similarity NPC160506
0.5315 Remote Similarity NPC127056
0.5299 Remote Similarity NPC267238
0.5299 Remote Similarity NPC207693
0.5299 Remote Similarity NPC78034
0.5285 Remote Similarity NPC219180
0.5268 Remote Similarity NPC224003
0.5254 Remote Similarity NPC157571
0.5254 Remote Similarity NPC324875
0.5254 Remote Similarity NPC292677
0.5242 Remote Similarity NPC475140
0.5225 Remote Similarity NPC475296
0.5225 Remote Similarity NPC56713
0.5214 Remote Similarity NPC253611
0.5214 Remote Similarity NPC488782
0.5179 Remote Similarity NPC18724
0.5161 Remote Similarity NPC271974
0.5161 Remote Similarity NPC247312
0.513 Remote Similarity NPC114304
0.5126 Remote Similarity NPC40716
0.5098 Remote Similarity NPC473844
0.5091 Remote Similarity NPC164194
0.5089 Remote Similarity NPC108748
0.5089 Remote Similarity NPC474589
0.5088 Remote Similarity NPC158051

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC204392 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
0.5319 Remote Similarity NPD8035 Phase 2
0.5234 Remote Similarity NPD8034 Phase 2

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