Natural Product: NPC470478

Natural Product IDNPC470478
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Erucasaponin A
IUPAC Name (2S,3S,4S,5R,6R)-6-[[(1R,3aS,5aR,5bR,7aR,9S,11aR,11bR,13aR,13bR)-5a,5b,8,8,11a-pentamethyl-1-prop-1-en-2-yl-3a-[(2S,3R,4S,5S,6R)-3,4,5-trihydroxy-6-(hydroxymethyl)oxan-2-yl]oxycarbonyl-1,2,3,4,5,6,7,7a,9,10,11,11b,12,13,13a,13b-hexadecahydrocyclopenta[a]chrysen-9-yl]oxy]-3-hydroxy-4,5-bis[[(2S,3R,4R,5R,6S)-3,4,5-trihydroxy-6-methyloxan-2-yl]oxy]oxane-2-carboxylic acid
Synonyms Erucasaponin A
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL2047212
PubChem CID 70681950
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 VFZBLNCRTMCDKR-NIBDAWPYSA-N
Standard InCHI InChI=1S/C54H86O22/c1-21(2)24-12-17-54(49(68)76-47-39(64)36(61)33(58)26(20-55)71-47)19-18-52(8)25(30(24)54)10-11-28-51(7)15-14-29(50(5,6)27(51)13-16-53(28,52)9)72-48-43(75-46-38(63)35(60)32(57)23(4)70-46)41(40(65)42(74-48)44(66)67)73-45-37(62)34(59)31(56)22(3)69-45/h22-43,45-48,55-65H,1,10-20H2,2-9H3,(H,66,67)/t22-,23-,24-,25+,26+,27-,28+,29-,30+,31-,32-,33+,34+,35+,36-,37+,38+,39+,40-,41-,42-,43+,45-,46-,47-,48+,51-,52+,53+,54-/m0/s1
SMILES CC1C(C(C(C(O1)OC2C(C(OC(C2OC3C(C(C(C(O3)C)O)O)O)OC4CCC5(C6CCC7C8C(CCC8(CCC7(C6(CCC5C4(C)C)C)C)C(=O)OC9C(C(C(C(O9)CO)O)O)O)C(=C)C)C)C(=O)O)O)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   1086.56 Volume:   1051.007
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Van der Waals volume.
Dense:   1.034 LogP:   1.318
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.359
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.501
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The logarithm of aqueous solubility value.
Rotatable Bonds:   12.0 Rigid Bonds:   52.0
TPSA:   350.74
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Topological Polar Surface Area.
H-Bond Acceptor:   22.0
H-Bond Donor:   12.0 Rings:   9.0
Heavy Atoms:   22.0

MedChem Properties

QED Drug-Likeness Score:   0.073 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.807 Fsp3:   0.926
MCE-18:   197.981
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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:   0.017 Fluc inhibitor:   0.0
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.008
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.36
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.35 Promiscuous compounds:   0.051

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.311 MDCK Permeability:   -4.981
Pgp-inhibitor:   0.0 Pgp-substrate:   0.773
PAMPA:   1.0
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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):   0.994
20% Bioavailability (F20%):   0.063 30% Bioavailability (F30%):   0.988
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   1.0
Plasma Protein Binding (PPB):   50.175% Volume Distribution (VD):   -0.358
Fu: 24.413%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.0
OATP1B3 inhibitor:   0.045 BCRP inhibitor:   0.0
BSEP inhibitor:   0.001

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.998 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.979 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.017 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.0
HLM stability:   0.0
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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):  -0.643 Half-life (T1/2):  4.92

ADMET: Toxicity

hERG Blockers:  0.01 hERG Blockers (10um):  0.259
Human Hepatotoxicity (H-HT):  0.379 Drug-induced Liver Injury (DILI):  0.333
AMES Toxicity:  0.062 Rat Oral Acute Toxicity:  0.063
Maximum Recommended Daily Dose:  0.318 Skin Sensitization:  0.001
Carcinogencity:  0.005 Eye Corrosion:  0.0
Eye Irritation:  0.0 Respiratory Toxicity:  0.0
Drug-induced Neurotoxicity:  0.199 Ototoxicity:  1.0
Hematotoxicity:  0.005 Drug-induced Nephrotoxicity:  0.019
Genotoxicity:  0.0 RPMI-8226 Immunitoxicity:  0.052
A549 Cytotoxicity:  0.007 Hek293 Cytotoxicity:  0.482
BCF:   0.647
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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:   4.604
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.556
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.403
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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
NPO32656 Stenocereus alamosensis Species Cactaceae Eukaryota n.a. n.a. n.a. PMID[22704889]
NPO32619 isolatocereus dumortieri Species Cactaceae Eukaryota n.a. n.a. n.a. PMID[22704889]
NPO32656 Stenocereus alamosensis Species Cactaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO32619 isolatocereus dumortieri Species Cactaceae 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
NPT521 Cell line RBL-2H3 Rattus norvegicus IC50 > 200000.0 nM PMID[23395661]

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 NPC470478 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
0.7525 Intermediate Similarity NPC273962
0.7253 Intermediate Similarity NPC473844
0.7087 Intermediate Similarity NPC179429
0.6422 Remote Similarity NPC475591
0.6422 Remote Similarity NPC236870
0.6327 Remote Similarity NPC94919
0.6087 Remote Similarity NPC187290
0.5946 Remote Similarity NPC287269
0.5789 Remote Similarity NPC146563
0.5625 Remote Similarity NPC302543
0.5603 Remote Similarity NPC469821
0.5565 Remote Similarity NPC47995
0.5565 Remote Similarity NPC473918
0.5545 Remote Similarity NPC11035
0.5536 Remote Similarity NPC603026
0.5526 Remote Similarity NPC204392
0.5508 Remote Similarity NPC469823
0.5487 Remote Similarity NPC22956
0.5424 Remote Similarity NPC114484
0.5417 Remote Similarity NPC329976
0.5392 Remote Similarity NPC240125
0.5392 Remote Similarity NPC91583
0.5391 Remote Similarity NPC258617
0.5391 Remote Similarity NPC605226
0.5385 Remote Similarity NPC275668
0.5351 Remote Similarity NPC161674
0.5345 Remote Similarity NPC44716
0.5345 Remote Similarity NPC46665
0.5328 Remote Similarity NPC470475
0.5328 Remote Similarity NPC25998
0.5317 Remote Similarity NPC46823
0.5299 Remote Similarity NPC68175
0.5246 Remote Similarity NPC605294
0.5238 Remote Similarity NPC283417
0.5238 Remote Similarity NPC200049
0.5234 Remote Similarity NPC484061
0.5234 Remote Similarity NPC484062
0.5214 Remote Similarity NPC251768
0.52 Remote Similarity NPC477465
0.5197 Remote Similarity NPC277212
0.5197 Remote Similarity NPC30279
0.5172 Remote Similarity NPC192791
0.5161 Remote Similarity NPC609119
0.5159 Remote Similarity NPC470476
0.5143 Remote Similarity NPC604868
0.5115 Remote Similarity NPC484059
0.5115 Remote Similarity NPC484060
0.5085 Remote Similarity NPC159309
0.5085 Remote Similarity NPC86222
0.5044 Remote Similarity NPC235841
0.5044 Remote Similarity NPC297208
0.5043 Remote Similarity NPC75417
0.5043 Remote Similarity NPC240734
0.5043 Remote Similarity NPC112352
0.5042 Remote Similarity NPC469825
0.5041 Remote Similarity NPC281148
0.5039 Remote Similarity NPC329828
0.5038 Remote Similarity NPC225791

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC470478 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