Natural Product: NPC75747

Natural Product IDNPC75747
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Alpinoside
IUPAC Name [(2S,3R,4S,5S,6R)-3,4,5-trihydroxy-6-(hydroxymethyl)oxan-2-yl] (2R,4aS,6aR,6aS,6bR,8aR,10S,11R,12aR,14bS)-10,11-dihydroxy-2,6a,6b,9,9,12a-hexamethyl-1-methylidene-2,3,4,5,6,6a,7,8,8a,10,11,12,13,14b-tetradecahydropicene-4a-carboxylate
Synonyms Alpinoside
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL1077633
PubChem CID 46882792
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 ONKDPBFYYUGYFL-BBEQLWDVSA-N
Standard InCHI InChI=1S/C36H56O9/c1-18-10-13-36(31(43)45-30-28(41)27(40)26(39)22(17-37)44-30)15-14-34(6)20(25(36)19(18)2)8-9-24-33(5)16-21(38)29(42)32(3,4)23(33)11-12-35(24,34)7/h8,18,21-30,37-42H,2,9-17H2,1,3-7H3/t18-,21-,22-,23+,24-,25+,26-,27+,28-,29-,30+,33+,34-,35-,36+/m1/s1
SMILES OC[C@H]1O[C@@H](OC(=O)[C@@]23CC[C@H](C(=C)[C@H]3C3=CC[C@H]4[C@@]([C@@]3(CC2)C)(C)CC[C@@H]2[C@]4(C)C[C@H]([C@H](C2(C)C)O)O)C)[C@@H]([C@H]([C@@H]1O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   632.39 Volume:   651.076
?
Van der Waals volume.
Dense:   0.971 LogP:   2.83
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.142
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.732
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The logarithm of aqueous solubility value.
Rotatable Bonds:   4.0 Rigid Bonds:   34.0
TPSA:   156.91
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Topological Polar Surface Area.
H-Bond Acceptor:   9.0
H-Bond Donor:   6.0 Rings:   6.0
Heavy Atoms:   9.0

MedChem Properties

QED Drug-Likeness Score:   0.203 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.61 Fsp3:   0.861
MCE-18:   127.672
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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:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.858 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:   0.102
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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:   0.161 Promiscuous compounds:   0.171

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.759 MDCK Permeability:   -5.096
Pgp-inhibitor:   0.002 Pgp-substrate:   0.013
PAMPA:   0.999
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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):   0.0
20% Bioavailability (F20%):   0.215 30% Bioavailability (F30%):   0.941
50% Bioavailability (F50%):   0.999

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.001 MRP1:   0.212
Plasma Protein Binding (PPB):   85.366% Volume Distribution (VD):   0.081
Fu: 13.527%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.761
BSEP inhibitor:   0.903

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.02
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.658
HLM stability:   0.012
?
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):  1.929 Half-life (T1/2):  2.775

ADMET: Toxicity

hERG Blockers:  0.004 hERG Blockers (10um):  0.019
Human Hepatotoxicity (H-HT):  0.459 Drug-induced Liver Injury (DILI):  0.28
AMES Toxicity:  0.665 Rat Oral Acute Toxicity:  0.01
Maximum Recommended Daily Dose:  0.066 Skin Sensitization:  0.996
Carcinogencity:  0.522 Eye Corrosion:  0.0
Eye Irritation:  0.01 Respiratory Toxicity:  0.041
Drug-induced Neurotoxicity:  0.0 Ototoxicity:  0.987
Hematotoxicity:  0.559 Drug-induced Nephrotoxicity:  0.95
Genotoxicity:  0.11 RPMI-8226 Immunitoxicity:  0.048
A549 Cytotoxicity:  0.501 Hek293 Cytotoxicity:  0.139
BCF:   1.593
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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:   3.964
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.639
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.854
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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
NPO23655.1 Rubus ellipticus Under-species n.a. n.a. n.a. n.a. n.a. PMID[19795885]
NPO23655.1 Rubus ellipticus Under-species n.a. n.a. n.a. n.a. n.a. PMID[38455614]
NPO60488 Anthyllis henoniana Species Fabaceae Eukaryota n.a. n.a. n.a. PMID[39061863]
NPO23655.1 Rubus ellipticus Under-species n.a. n.a. 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
NPO60488 Anthyllis henoniana Methanol extract Stems 1.6 n.a. n.a. % PMID[39061863]

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
NPT2 Others Unspecified n.a. IC50 = 1040000.0 nM PMID[21142180]

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 NPC75747 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
1.0 High Similarity NPC7870
0.8831 High Similarity NPC102914
0.7848 Intermediate Similarity NPC605954
0.7778 Intermediate Similarity NPC310014
0.7778 Intermediate Similarity NPC269315
0.7176 Intermediate Similarity NPC220984
0.6905 Remote Similarity NPC116794
0.686 Remote Similarity NPC271138
0.686 Remote Similarity NPC110139
0.686 Remote Similarity NPC108709
0.6824 Remote Similarity NPC65590
0.6824 Remote Similarity NPC125923
0.6744 Remote Similarity NPC68419
0.6429 Remote Similarity NPC191763
0.6395 Remote Similarity NPC46388
0.6279 Remote Similarity NPC167383
0.618 Remote Similarity NPC137917
0.6 Remote Similarity NPC212968
0.6 Remote Similarity NPC604133
0.5889 Remote Similarity NPC37739
0.5889 Remote Similarity NPC199457
0.5789 Remote Similarity NPC269095
0.5778 Remote Similarity NPC237503
0.5729 Remote Similarity NPC78046
0.567 Remote Similarity NPC179434
0.5652 Remote Similarity NPC187056
0.5652 Remote Similarity NPC606216
0.5652 Remote Similarity NPC607023
0.5521 Remote Similarity NPC47063
0.5474 Remote Similarity NPC128925
0.5474 Remote Similarity NPC256798
0.5464 Remote Similarity NPC204458
0.5464 Remote Similarity NPC189884
0.5464 Remote Similarity NPC138334
0.5422 Remote Similarity NPC259788
0.5422 Remote Similarity NPC255589
0.5422 Remote Similarity NPC307335
0.5422 Remote Similarity NPC74855
0.54 Remote Similarity NPC139894
0.5347 Remote Similarity NPC150400
0.5319 Remote Similarity NPC48249
0.5319 Remote Similarity NPC64106
0.5306 Remote Similarity NPC90856
0.5306 Remote Similarity NPC214484
0.5301 Remote Similarity NPC136313
0.5275 Remote Similarity NPC91583
0.5258 Remote Similarity NPC209894
0.5253 Remote Similarity NPC29069
0.5243 Remote Similarity NPC473343
0.5234 Remote Similarity NPC134835
0.5213 Remote Similarity NPC306746
0.52 Remote Similarity NPC48499
0.5196 Remote Similarity NPC58448
0.5185 Remote Similarity NPC73318
0.5161 Remote Similarity NPC285576
0.5146 Remote Similarity NPC39211
0.5106 Remote Similarity NPC190837
0.5098 Remote Similarity NPC235405
0.5098 Remote Similarity NPC475516
0.5096 Remote Similarity NPC161674
0.5096 Remote Similarity NPC475171
0.5096 Remote Similarity NPC469946
0.5091 Remote Similarity NPC96641
0.5091 Remote Similarity NPC163183
0.5049 Remote Similarity NPC473373
0.5049 Remote Similarity NPC249848
0.5049 Remote Similarity NPC107966
0.5048 Remote Similarity NPC75417
0.5047 Remote Similarity NPC68175

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC75747 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