Natural Product: NPC238935

Natural Product IDNPC238935
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
3-O-Beta-D-Glucopyranosyl-28-O-Alpha-L-Rhamnopyranosyl-16Alpha-Hydrox Y-23-Deoxyprotobassic Acid
IUPAC Name [(2S,3R,4R,5R,6S)-3,4,5-trihydroxy-6-methyloxan-2-yl] (4aR,5R,6aR,6aS,6bR,8R,8aR,10R,11S,12aR,14bS)-5,8,11-trihydroxy-2,2,6a,6b,9,9,12a-heptamethyl-10-[(2R,3R,4S,5S,6R)-3,4,5-trihydroxy-6-(hydroxymethyl)oxan-2-yl]oxy-1,3,4,5,6,6a,7,8,8a,10,11,12,13,14b-tetradecahydropicene-4a-carboxylate
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL503292
PubChem CID 21672204
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 LZIMOIPXNDCZGQ-RFFVNIRISA-N
Standard InCHI InChI=1S/C42H68O15/c1-18-26(47)28(49)30(51)34(54-18)57-36(53)42-12-11-37(2,3)13-20(42)19-9-10-24-39(6)14-22(45)33(56-35-31(52)29(50)27(48)23(17-43)55-35)38(4,5)32(39)21(44)15-41(24,8)40(19,7)16-25(42)46/h9,18,20-35,43-52H,10-17H2,1-8H3/t18-,20-,21+,22-,23+,24+,25+,26-,27+,28+,29-,30+,31+,32-,33-,34-,35-,39+,40+,41+,42+/m0/s1
SMILES C[C@H]1[C@@H]([C@H]([C@H]([C@@H](O1)OC(=O)[C@]12CCC(C)(C)C[C@H]1C1=CC[C@@H]3[C@@]4(C)C[C@@H]([C@@H](C(C)(C)[C@@H]4[C@@H](C[C@@]3(C)[C@]1(C)C[C@H]2O)O)O[C@H]1[C@@H]([C@H]([C@@H]([C@@H](CO)O1)O)O)O)O)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   812.46 Volume:   801.673
?
Van der Waals volume.
Dense:   1.013 LogP:   1.709
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.287
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.732
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The logarithm of aqueous solubility value.
Rotatable Bonds:   6.0 Rigid Bonds:   39.0
TPSA:   256.29
?
Topological Polar Surface Area.
H-Bond Acceptor:   15.0
H-Bond Donor:   10.0 Rings:   7.0
Heavy Atoms:   15.0

MedChem Properties

QED Drug-Likeness Score:   0.102 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.133 Fsp3:   0.929
MCE-18:   158.963
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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:   0.707 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.028
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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:   0.177 Promiscuous compounds:   0.114

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.064 MDCK Permeability:   -5.21
Pgp-inhibitor:   0.0 Pgp-substrate:   0.837
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):   0.762
20% Bioavailability (F20%):   0.778 30% Bioavailability (F30%):   0.999
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.056 MRP1:   0.161
Plasma Protein Binding (PPB):   78.345% Volume Distribution (VD):   -0.301
Fu: 12.538%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.002
BSEP inhibitor:   0.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.001
CYP3A4-inhibitor:   0.002 CYP3A4-substrate:   0.004
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.004
HLM stability:   0.005
?
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):  0.689 Half-life (T1/2):  3.872

ADMET: Toxicity

hERG Blockers:  0.004 hERG Blockers (10um):  0.011
Human Hepatotoxicity (H-HT):  0.686 Drug-induced Liver Injury (DILI):  0.736
AMES Toxicity:  0.908 Rat Oral Acute Toxicity:  0.012
Maximum Recommended Daily Dose:  0.006 Skin Sensitization:  1.0
Carcinogencity:  0.12 Eye Corrosion:  0.0
Eye Irritation:  0.0 Respiratory Toxicity:  0.006
Drug-induced Neurotoxicity:  0.0 Ototoxicity:  0.998
Hematotoxicity:  0.746 Drug-induced Nephrotoxicity:  0.968
Genotoxicity:  0.287 RPMI-8226 Immunitoxicity:  0.205
A549 Cytotoxicity:  0.933 Hek293 Cytotoxicity:  0.327
BCF:   1.007
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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:   3.338
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.739
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.873
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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
NPO15083 Mussaenda macrophylla Species Rubiaceae Eukaryota root bark n.a. n.a. PMID[10543897]
NPO15083 Mussaenda macrophylla Species Rubiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]

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
NPT878 Organism Streptococcus mutans Streptococcus mutans MIC > 1250.0 ug.mL-1 PMID[23368966]
NPT1127 Organism Porphyromonas gingivalis Porphyromonas gingivalis MIC = 312.0 ug.mL-1 PMID[21524573]

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 NPC238935 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
0.7955 Intermediate Similarity NPC475208
0.7442 Intermediate Similarity NPC48249
0.66 Remote Similarity NPC164389
0.6526 Remote Similarity NPC1046
0.6486 Remote Similarity NPC237191
0.6263 Remote Similarity NPC480420
0.6095 Remote Similarity NPC64715
0.6022 Remote Similarity NPC306746
0.5962 Remote Similarity NPC305267
0.5913 Remote Similarity NPC21691
0.5851 Remote Similarity NPC199457
0.5818 Remote Similarity NPC815
0.5804 Remote Similarity NPC123522
0.5678 Remote Similarity NPC475514
0.5636 Remote Similarity NPC69811
0.5593 Remote Similarity NPC286457
0.5586 Remote Similarity NPC104137
0.5586 Remote Similarity NPC26626
0.5574 Remote Similarity NPC220160
0.5546 Remote Similarity NPC470876
0.5537 Remote Similarity NPC302543
0.5536 Remote Similarity NPC11242
0.5517 Remote Similarity NPC283417
0.5517 Remote Similarity NPC200049
0.5481 Remote Similarity NPC150400
0.5472 Remote Similarity NPC112352
0.5462 Remote Similarity NPC473452
0.5446 Remote Similarity NPC214484
0.5424 Remote Similarity NPC4749
0.5368 Remote Similarity NPC167383
0.5351 Remote Similarity NPC213952
0.5258 Remote Similarity NPC237503
0.5234 Remote Similarity NPC76497
0.5229 Remote Similarity NPC46665
0.521 Remote Similarity NPC25663
0.5167 Remote Similarity NPC85154
0.5161 Remote Similarity NPC144644
0.5161 Remote Similarity NPC37860
0.5161 Remote Similarity NPC170407
0.514 Remote Similarity NPC39211
0.5126 Remote Similarity NPC480423
0.5098 Remote Similarity NPC209894
0.5094 Remote Similarity NPC475516
0.5085 Remote Similarity NPC475899
0.5079 Remote Similarity NPC142151
0.5079 Remote Similarity NPC267694
0.5077 Remote Similarity NPC480421
0.5048 Remote Similarity NPC48499
0.5046 Remote Similarity NPC223301
0.5046 Remote Similarity NPC171544
0.5044 Remote Similarity NPC114484

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC238935 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