Natural Product: NPC475208

Natural Product IDNPC475208
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 Yprotobassic Acid
IUPAC Name [(2S,3R,4R,5R,6S)-3,4,5-trihydroxy-6-methyloxan-2-yl] (4aR,5R,6aR,6aS,6bR,8aR,9R,10R,11S,12aR,14bS)-5,11-dihydroxy-9-(hydroxymethyl)-2,2,6a,6b,9,12a-hexamethyl-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 CHEMBL501038
PubChem CID 44575353
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 STQISEBYTPHEPL-YIGUUSMJSA-N
Standard InCHI InChI=1S/C42H68O15/c1-19-27(47)29(49)31(51)34(54-19)57-36(53)42-13-12-37(2,3)14-21(42)20-8-9-25-38(4)15-22(45)33(56-35-32(52)30(50)28(48)23(17-43)55-35)39(5,18-44)24(38)10-11-40(25,6)41(20,7)16-26(42)46/h8,19,21-35,43-52H,9-18H2,1-7H3/t19-,21-,22-,23+,24+,25+,26+,27-,28+,29+,30-,31+,32+,33-,34-,35-,38-,39-,40+,41+,42+/m0/s1
SMILES OC[C@H]1O[C@@H](O[C@H]2[C@@H](O)C[C@]3([C@H]([C@]2(C)CO)CC[C@@]2([C@@H]3CC=C3[C@@]2(C)C[C@H]([C@@]2([C@H]3CC(C)(C)CC2)C(=O)O[C@@H]2O[C@@H](C)[C@@H]([C@H]([C@H]2O)O)O)O)C)C)[C@@H]([C@H]([C@@H]1O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   812.46 Volume:   801.673
?
Van der Waals volume.
Dense:   1.013 LogP:   1.775
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.393
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.921
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   7.0 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:   0.098 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.074 Fsp3:   0.929
MCE-18:   156.222
?
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:   0.711 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.016
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.0
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.197 Promiscuous compounds:   0.092

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.336 MDCK Permeability:   -5.2
Pgp-inhibitor:   0.0 Pgp-substrate:   0.206
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):   0.46
20% Bioavailability (F20%):   0.284 30% Bioavailability (F30%):   0.989
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.516 MRP1:   0.031
Plasma Protein Binding (PPB):   72.489% Volume Distribution (VD):   -0.339
Fu: 16.59%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.054
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:   0.0
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.488
HLM stability:   0.094
?
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):  0.523 Half-life (T1/2):  3.544

ADMET: Toxicity

hERG Blockers:  0.006 hERG Blockers (10um):  0.009
Human Hepatotoxicity (H-HT):  0.664 Drug-induced Liver Injury (DILI):  0.743
AMES Toxicity:  0.884 Rat Oral Acute Toxicity:  0.012
Maximum Recommended Daily Dose:  0.005 Skin Sensitization:  0.999
Carcinogencity:  0.178 Eye Corrosion:  0.0
Eye Irritation:  0.001 Respiratory Toxicity:  0.008
Drug-induced Neurotoxicity:  0.0 Ototoxicity:  0.997
Hematotoxicity:  0.69 Drug-induced Nephrotoxicity:  0.973
Genotoxicity:  0.205 RPMI-8226 Immunitoxicity:  0.167
A549 Cytotoxicity:  0.853 Hek293 Cytotoxicity:  0.273
BCF:   1.217
?
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:   3.513
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.016
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.102
?
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[15679326]
NPT1127 Organism Porphyromonas gingivalis Porphyromonas gingivalis MIC = 78.0 ug.mL-1 PMID[19332371]

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 NPC475208 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 NPC238935
0.6979 Remote Similarity NPC150400
0.6979 Remote Similarity NPC480420
0.697 Remote Similarity NPC164389
0.6915 Remote Similarity NPC1046
0.6634 Remote Similarity NPC305267
0.6604 Remote Similarity NPC815
0.6522 Remote Similarity NPC48249
0.6442 Remote Similarity NPC64715
0.6379 Remote Similarity NPC144644
0.6379 Remote Similarity NPC170407
0.6364 Remote Similarity NPC139894
0.6364 Remote Similarity NPC475899
0.6327 Remote Similarity NPC179434
0.6316 Remote Similarity NPC473452
0.6271 Remote Similarity NPC142151
0.6262 Remote Similarity NPC69811
0.6228 Remote Similarity NPC237191
0.6228 Remote Similarity NPC21691
0.6176 Remote Similarity NPC473343
0.6167 Remote Similarity NPC68767
0.6126 Remote Similarity NPC123522
0.6121 Remote Similarity NPC475514
0.6116 Remote Similarity NPC153673
0.6116 Remote Similarity NPC51099
0.6 Remote Similarity NPC220160
0.5968 Remote Similarity NPC275225
0.5957 Remote Similarity NPC237503
0.5914 Remote Similarity NPC167383
0.5909 Remote Similarity NPC104137
0.5909 Remote Similarity NPC26626
0.5897 Remote Similarity NPC286457
0.5888 Remote Similarity NPC488517
0.5865 Remote Similarity NPC76497
0.5856 Remote Similarity NPC11242
0.5847 Remote Similarity NPC470876
0.5833 Remote Similarity NPC302543
0.5833 Remote Similarity NPC37860
0.5826 Remote Similarity NPC283417
0.5826 Remote Similarity NPC200049
0.581 Remote Similarity NPC112352
0.5776 Remote Similarity NPC25663
0.5769 Remote Similarity NPC295371
0.5738 Remote Similarity NPC267694
0.5726 Remote Similarity NPC4749
0.569 Remote Similarity NPC480423
0.5664 Remote Similarity NPC213952
0.5645 Remote Similarity NPC293031
0.5644 Remote Similarity NPC214484
0.56 Remote Similarity NPC110385
0.5591 Remote Similarity NPC480421
0.5588 Remote Similarity NPC29069
0.5556 Remote Similarity NPC46665
0.5536 Remote Similarity NPC481030
0.5536 Remote Similarity NPC241909
0.5534 Remote Similarity NPC48499
0.551 Remote Similarity NPC604133
0.5472 Remote Similarity NPC473884
0.5472 Remote Similarity NPC39211
0.5462 Remote Similarity NPC85154
0.5447 Remote Similarity NPC476991
0.5446 Remote Similarity NPC481079
0.5446 Remote Similarity NPC209894
0.5429 Remote Similarity NPC475516
0.5424 Remote Similarity NPC100639
0.5413 Remote Similarity NPC488526
0.5413 Remote Similarity NPC102439
0.5408 Remote Similarity NPC306746
0.5357 Remote Similarity NPC114484
0.5354 Remote Similarity NPC68419
0.5351 Remote Similarity NPC207738
0.5345 Remote Similarity NPC76972
0.5345 Remote Similarity NPC469782
0.5345 Remote Similarity NPC204414
0.5326 Remote Similarity NPC488520
0.5321 Remote Similarity NPC104071
0.5315 Remote Similarity NPC475504
0.53 Remote Similarity NPC110139
0.53 Remote Similarity NPC108709
0.5299 Remote Similarity NPC192600
0.5285 Remote Similarity NPC293330
0.5285 Remote Similarity NPC65105
0.5283 Remote Similarity NPC235405
0.5281 Remote Similarity NPC488519
0.5278 Remote Similarity NPC469946
0.5273 Remote Similarity NPC473401
0.5273 Remote Similarity NPC473383
0.5263 Remote Similarity NPC96641
0.5263 Remote Similarity NPC163183
0.5254 Remote Similarity NPC481031
0.5253 Remote Similarity NPC199457
0.5238 Remote Similarity NPC51564
0.5234 Remote Similarity NPC473373
0.5234 Remote Similarity NPC249848
0.5234 Remote Similarity NPC107966
0.5229 Remote Similarity NPC192791
0.5229 Remote Similarity NPC223301
0.5229 Remote Similarity NPC171544
0.5225 Remote Similarity NPC63159
0.5213 Remote Similarity NPC488522
0.521 Remote Similarity NPC155410
0.521 Remote Similarity NPC135904
0.52 Remote Similarity NPC309223
0.52 Remote Similarity NPC298034
0.52 Remote Similarity NPC71065
0.5182 Remote Similarity NPC309714
0.5179 Remote Similarity NPC222580
0.5179 Remote Similarity NPC123796
0.5167 Remote Similarity NPC475160
0.5167 Remote Similarity NPC473714
0.5138 Remote Similarity NPC471547
0.5135 Remote Similarity NPC251768
0.513 Remote Similarity NPC295823
0.513 Remote Similarity NPC174720
0.513 Remote Similarity NPC475467
0.5109 Remote Similarity NPC485564
0.5104 Remote Similarity NPC488524
0.5089 Remote Similarity NPC235438
0.5089 Remote Similarity NPC162574
0.5088 Remote Similarity NPC104372
0.5086 Remote Similarity NPC481078
0.5051 Remote Similarity NPC473123
0.5049 Remote Similarity NPC256798
0.5048 Remote Similarity NPC189884
0.5048 Remote Similarity NPC90856
0.5048 Remote Similarity NPC138334
0.5046 Remote Similarity NPC157868
0.5045 Remote Similarity NPC471548
0.5045 Remote Similarity NPC30735
0.5045 Remote Similarity NPC117714
0.5045 Remote Similarity NPC30289
0.5044 Remote Similarity NPC297263
0.5042 Remote Similarity NPC79643
0.5041 Remote Similarity NPC476068
0.5041 Remote Similarity NPC471550
0.5039 Remote Similarity NPC102505
0.5039 Remote Similarity NPC488514
0.5038 Remote Similarity NPC33012
0.5036 Remote Similarity NPC124828

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC475208 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