Natural Product: NPC235772

Natural Product IDNPC235772
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Albiziatrioside A
IUPAC Name (4aS,6aR,6aS,6bR,8aR,10S,12aR,14bS)-10-[(2R,3R,4R,5S,6R)-3-acetamido-6-[[(2S,3R,4S,5S)-4,5-dihydroxy-3-[(2S,3R,4S,5R)-3,4,5-trihydroxyoxan-2-yl]oxyoxan-2-yl]oxymethyl]-4,5-dihydroxyoxan-2-yl]oxy-2,2,6a,6b,9,9,12a-heptamethyl-1,3,4,5,6,6a,7,8,8a,10,11,12,13,14b-tetradecahydropicene-4a-carboxylic acid
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL499401
PubChem CID 10772132
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 ZHJLYHABGRSKOY-IRVOGBMASA-N
Standard InCHI InChI=1S/C48H77NO16/c1-23(50)49-32-36(56)35(55)28(22-62-41-38(34(54)27(52)21-61-41)65-40-37(57)33(53)26(51)20-60-40)63-39(32)64-31-12-13-45(6)29(44(31,4)5)11-14-47(8)30(45)10-9-24-25-19-43(2,3)15-17-48(25,42(58)59)18-16-46(24,47)7/h9,25-41,51-57H,10-22H2,1-8H3,(H,49,50)(H,58,59)/t25-,26+,27-,28+,29-,30+,31-,32+,33-,34-,35+,36+,37+,38+,39-,40-,41-,45-,46+,47+,48-/m0/s1
SMILES CC(=N[C@@H]1[C@H]([C@@H]([C@@H](CO[C@H]2[C@@H]([C@H]([C@H](CO2)O)O)O[C@H]2[C@@H]([C@H]([C@@H](CO2)O)O)O)O[C@H]1O[C@H]1CC[C@@]2(C)[C@@H](CC[C@]3(C)[C@@H]2CC=C2[C@@H]4CC(C)(C)CC[C@@]4(CC[C@@]32C)C(=O)O)C1(C)C)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   923.52 Volume:   914.043
?
Van der Waals volume.
Dense:   1.01 LogP:   1.742
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.347
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.898
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   9.0 Rigid Bonds:   46.0
TPSA:   266.88
?
Topological Polar Surface Area.
H-Bond Acceptor:   17.0
H-Bond Donor:   9.0 Rings:   8.0
Heavy Atoms:   17.0

MedChem Properties

QED Drug-Likeness Score:   0.07 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.406 Fsp3:   0.917
MCE-18:   171.174
?
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:   0.98 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.003
?
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:   0.021 Promiscuous compounds:   0.075

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.946 MDCK Permeability:   -5.207
Pgp-inhibitor:   0.0 Pgp-substrate:   0.032
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):   0.123
20% Bioavailability (F20%):   0.3 30% Bioavailability (F30%):   0.889
50% Bioavailability (F50%):   0.997

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.009 MRP1:   0.062
Plasma Protein Binding (PPB):   72.125% Volume Distribution (VD):   -0.476
Fu: 19.048%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.003
BSEP inhibitor:   0.004

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:   0.995 CYP3A4-substrate:   0.997
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.013
HLM stability:   0.0
?
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):  -0.009 Half-life (T1/2):  2.756

ADMET: Toxicity

hERG Blockers:  0.004 hERG Blockers (10um):  0.007
Human Hepatotoxicity (H-HT):  0.995 Drug-induced Liver Injury (DILI):  0.993
AMES Toxicity:  0.834 Rat Oral Acute Toxicity:  0.01
Maximum Recommended Daily Dose:  0.008 Skin Sensitization:  1.0
Carcinogencity:  0.175 Eye Corrosion:  0.0
Eye Irritation:  0.008 Respiratory Toxicity:  0.022
Drug-induced Neurotoxicity:  0.0 Ototoxicity:  0.993
Hematotoxicity:  0.603 Drug-induced Nephrotoxicity:  0.987
Genotoxicity:  0.893 RPMI-8226 Immunitoxicity:  0.054
A549 Cytotoxicity:  0.1 Hek293 Cytotoxicity:  0.143
BCF:   1.166
?
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:   4.004
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.856
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.903
?
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
NPO20805 Albizia subdimidiata Species Fabaceae Eukaryota n.a. Suriname rainforest n.a. PMID[11325245]
NPO32561 acacia tenuifolia Species Fabaceae Eukaryota n.a. suriname rainforest n.a. PMID[11858750]
NPO20805 Albizia subdimidiata Species Fabaceae 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
NPT179 Cell line A2780 Homo sapiens IC50 = 0.9 ug.mL-1 PMID[11975483]
NPT726 Cell line M109 Mus musculus IC50 = 1.0 ug.mL-1 DrugMatrix in vitro pharmacology data
NPT312 Organism Saccharomyces cerevisiae Saccharomyces cerevisiae Activity = 30.0 ug ml-1 DOI[10.6019/CHEMBL3301361]
NPT312 Organism Saccharomyces cerevisiae Saccharomyces cerevisiae Activity = 35.0 ug ml-1 PMID[22037378]
NPT312 Organism Saccharomyces cerevisiae Saccharomyces cerevisiae IC12 = 30.0 ug ml-1 DrugMatrix in vitro pharmacology data
NPT312 Organism Saccharomyces cerevisiae Saccharomyces cerevisiae IC12 = 35.0 ug ml-1 DrugMatrix in vitro pharmacology data

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 NPC235772 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 NPC280941
0.898 High Similarity NPC73829
0.8218 Intermediate Similarity NPC104400
0.8218 Intermediate Similarity NPC10320
0.8155 Intermediate Similarity NPC119794
0.7798 Intermediate Similarity NPC200788
0.7664 Intermediate Similarity NPC75318
0.7383 Intermediate Similarity NPC481082
0.7383 Intermediate Similarity NPC164419
0.7308 Intermediate Similarity NPC488561
0.7282 Intermediate Similarity NPC56713
0.7216 Intermediate Similarity NPC283849
0.7212 Intermediate Similarity NPC127056
0.717 Intermediate Similarity NPC469945
0.708 Intermediate Similarity NPC288205
0.708 Intermediate Similarity NPC51465
0.7043 Intermediate Similarity NPC243680
0.7 Intermediate Similarity NPC488515
0.6961 Remote Similarity NPC191410
0.6937 Remote Similarity NPC145899
0.6842 Remote Similarity NPC210729
0.6842 Remote Similarity NPC82931
0.6695 Remote Similarity NPC166422
0.6695 Remote Similarity NPC219180
0.6693 Remote Similarity NPC120667
0.6693 Remote Similarity NPC278272
0.6636 Remote Similarity NPC174679
0.6636 Remote Similarity NPC279554
0.6636 Remote Similarity NPC59804
0.6579 Remote Similarity NPC324875
0.6579 Remote Similarity NPC292677
0.6549 Remote Similarity NPC79718
0.6535 Remote Similarity NPC28198
0.6535 Remote Similarity NPC476123
0.646 Remote Similarity NPC257468
0.6364 Remote Similarity NPC6377
0.6364 Remote Similarity NPC208381
0.6356 Remote Similarity NPC475119
0.6355 Remote Similarity NPC164194
0.6346 Remote Similarity NPC100383
0.632 Remote Similarity NPC161717
0.6239 Remote Similarity NPC488564
0.6218 Remote Similarity NPC172365
0.6216 Remote Similarity NPC472949
0.6198 Remote Similarity NPC323341
0.6182 Remote Similarity NPC25605
0.6161 Remote Similarity NPC80843
0.6148 Remote Similarity NPC251263
0.6071 Remote Similarity NPC488516
0.6068 Remote Similarity NPC276093
0.6058 Remote Similarity NPC606107
0.6038 Remote Similarity NPC242611
0.5948 Remote Similarity NPC139044
0.5948 Remote Similarity NPC471383
0.5946 Remote Similarity NPC136877
0.5926 Remote Similarity NPC284807
0.5913 Remote Similarity NPC114304
0.5909 Remote Similarity NPC76999
0.5877 Remote Similarity NPC22956
0.5847 Remote Similarity NPC484832
0.5841 Remote Similarity NPC109079
0.5814 Remote Similarity NPC471385
0.5794 Remote Similarity NPC286347
0.5794 Remote Similarity NPC54636
0.5772 Remote Similarity NPC473824
0.575 Remote Similarity NPC323359
0.575 Remote Similarity NPC291903
0.5702 Remote Similarity NPC488209
0.568 Remote Similarity NPC471384
0.568 Remote Similarity NPC133818
0.5667 Remote Similarity NPC37134
0.5664 Remote Similarity NPC12288
0.5656 Remote Similarity NPC475486
0.5593 Remote Similarity NPC488526
0.5591 Remote Similarity NPC475140
0.5565 Remote Similarity NPC480424
0.5522 Remote Similarity NPC488212
0.5514 Remote Similarity NPC204407
0.5504 Remote Similarity NPC488211
0.5495 Remote Similarity NPC473538
0.5484 Remote Similarity NPC62725
0.5462 Remote Similarity NPC232237
0.5462 Remote Similarity NPC180550
0.5462 Remote Similarity NPC35405
0.5431 Remote Similarity NPC114441
0.54 Remote Similarity NPC120840
0.5398 Remote Similarity NPC475611
0.5351 Remote Similarity NPC127853
0.5273 Remote Similarity NPC177246
0.5263 Remote Similarity NPC475472
0.5217 Remote Similarity NPC270667
0.5214 Remote Similarity NPC475296
0.5197 Remote Similarity NPC482013
0.5175 Remote Similarity NPC489208
0.5164 Remote Similarity NPC63159
0.512 Remote Similarity NPC301449
0.512 Remote Similarity NPC481079
0.512 Remote Similarity NPC601290
0.5089 Remote Similarity NPC31839
0.5088 Remote Similarity NPC294112
0.5085 Remote Similarity NPC474589
0.5078 Remote Similarity NPC476992
0.5071 Remote Similarity NPC489209
0.5039 Remote Similarity NPC207738
0.5038 Remote Similarity NPC123199

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC235772 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