Natural Product: NPC154856

Natural Product IDNPC154856
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Cabenoside D
IUPAC Name (3S,8S,9R,10R,13R,14S,17R)-17-[(2R,5R)-5,6-dihydroxy-6-methylheptan-2-yl]-4,4,9,13,14-pentamethyl-3-[(2R,3R,4S,5S,6R)-3,4,5-trihydroxy-6-(hydroxymethyl)oxan-2-yl]oxy-1,2,3,7,8,10,12,15,16,17-decahydrocyclopenta[a]phenanthren-11-one
Synonyms cabenoside D
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL510167
PubChem CID 44584114
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000258] Steroids and steroid derivatives
        • [CHEMONTID:0001013] Steroidal glycosides
          • [CHEMONTID:0002364] Steroidal saponins
            • [CHEMONTID:0001687] Cucurbitacin glycosides

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 XMWIWVZEGGOMAU-CDPRDXQRSA-N
Standard InCHI InChI=1S/C36H60O9/c1-19(9-13-25(38)33(4,5)43)20-15-16-34(6)24-12-10-21-22(36(24,8)26(39)17-35(20,34)7)11-14-27(32(21,2)3)45-31-30(42)29(41)28(40)23(18-37)44-31/h10,19-20,22-25,27-31,37-38,40-43H,9,11-18H2,1-8H3/t19-,20-,22-,23-,24+,25-,27+,28-,29+,30-,31+,34+,35-,36+/m1/s1
SMILES C[C@H](CC[C@H](C(C)(C)O)O)[C@H]1CC[C@@]2(C)[C@@H]3CC=C4[C@@H](CC[C@@H](C4(C)C)O[C@H]4[C@@H]([C@H]([C@@H]([C@@H](CO)O4)O)O)O)[C@]3(C)C(=O)C[C@]12C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   636.42 Volume:   662.269
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Van der Waals volume.
Dense:   0.961 LogP:   3.362
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.678
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.764
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The logarithm of aqueous solubility value.
Rotatable Bonds:   8.0 Rigid Bonds:   27.0
TPSA:   156.91
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Topological Polar Surface Area.
H-Bond Acceptor:   9.0
H-Bond Donor:   6.0 Rings:   5.0
Heavy Atoms:   9.0

MedChem Properties

QED Drug-Likeness Score:   0.22 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.465 Fsp3:   0.917
MCE-18:   109.681
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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:   0.915 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:   0.007
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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:   0.22 Promiscuous compounds:   0.297

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.581 MDCK Permeability:   -5.141
Pgp-inhibitor:   0.02 Pgp-substrate:   0.106
PAMPA:   0.968
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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%):   0.008 30% Bioavailability (F30%):   0.221
50% Bioavailability (F50%):   0.991

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.112 MRP1:   0.158
Plasma Protein Binding (PPB):   80.739% Volume Distribution (VD):   -0.307
Fu: 14.95%
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The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.609
BSEP inhibitor:   0.168

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.002 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.02
CYP3A4-inhibitor:   1.0 CYP3A4-substrate:   0.995
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.004
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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):  2.411 Half-life (T1/2):  1.794

ADMET: Toxicity

hERG Blockers:  0.025 hERG Blockers (10um):  0.043
Human Hepatotoxicity (H-HT):  0.701 Drug-induced Liver Injury (DILI):  0.644
AMES Toxicity:  0.731 Rat Oral Acute Toxicity:  0.032
Maximum Recommended Daily Dose:  0.083 Skin Sensitization:  0.998
Carcinogencity:  0.443 Eye Corrosion:  0.0
Eye Irritation:  0.006 Respiratory Toxicity:  0.041
Drug-induced Neurotoxicity:  0.015 Ototoxicity:  0.98
Hematotoxicity:  0.578 Drug-induced Nephrotoxicity:  0.908
Genotoxicity:  0.72 RPMI-8226 Immunitoxicity:  0.103
A549 Cytotoxicity:  0.391 Hek293 Cytotoxicity:  0.458
BCF:   1.293
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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:   3.556
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.119
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.381
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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
NPO33132 bryonia dioica Species Cucurbitaceae Eukaryota Roots n.a. n.a. PMID[11858752]
NPO33132 bryonia dioica Species Cucurbitaceae Eukaryota n.a. n.a. n.a. PMID[17503850]

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
NPT80 Cell line Raji Homo sapiens Activity = 60.0 % PMID[23398362]
NPT2 Others Unspecified n.a. Inhibition = 0.0 % PMID[15808482]
NPT2 Others Unspecified n.a. Inhibition = 26.1 % PMID[23252603]
NPT2 Others Unspecified n.a. Inhibition = 69.3 % PMID[17603540]
NPT2 Others Unspecified n.a. Inhibition = 94.1 % DrugMatrix in vivo data: Pathology

In vivo activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference
NPT32 Organism Mus musculus Mus musculus ID50 = 0.6 mg PMID[18183025]
NPT32 Organism Mus musculus Mus musculus Activity = 66.0 % PMID[23117171]





 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 NPC154856 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
0.8553 High Similarity NPC130427
0.8312 Intermediate Similarity NPC74727
0.8193 Intermediate Similarity NPC474265
0.7831 Intermediate Similarity NPC485578
0.7647 Intermediate Similarity NPC279638
0.7303 Intermediate Similarity NPC473882
0.7143 Intermediate Similarity NPC485579
0.7079 Intermediate Similarity NPC474557
0.6633 Remote Similarity NPC485580
0.6548 Remote Similarity NPC34562
0.6548 Remote Similarity NPC52241
0.6429 Remote Similarity NPC221562
0.6353 Remote Similarity NPC187400
0.631 Remote Similarity NPC75608
0.6196 Remote Similarity NPC210420
0.6044 Remote Similarity NPC309448
0.5974 Remote Similarity NPC32830
0.5914 Remote Similarity NPC190395
0.5909 Remote Similarity NPC475317
0.5699 Remote Similarity NPC606839
0.5556 Remote Similarity NPC302057
0.53 Remote Similarity NPC168899
0.53 Remote Similarity NPC69273
0.5055 Remote Similarity NPC93352

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC154856 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