Natural Product: NPC182616

Natural Product IDNPC182616
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
YQQPOCSAGKUABB-YRGOWXAZSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 101638318
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 YQQPOCSAGKUABB-YRGOWXAZSA-N
Standard InCHI InChI=1S/C48H78O17/c1-22-30(52)32(54)35(57)40(61-22)64-37-31(53)25(50)20-60-41(37)65-38-34(56)33(55)36(39(58)59-9)63-42(38)62-29-13-14-45(5)26(46(29,6)21-49)12-15-48(8)27(45)11-10-23-24-18-43(2,3)19-28(51)44(24,4)16-17-47(23,48)7/h10,22,24-38,40-42,49-57H,11-21H2,1-9H3/t22-,24-,25-,26+,27+,28+,29-,30-,31-,32+,33-,34-,35+,36-,37+,38+,40-,41-,42+,44+,45-,46+,47+,48+/m0/s1
SMILES C[C@H]1[C@@H]([C@H]([C@H]([C@@H](O1)O[C@@H]1[C@H]([C@H](CO[C@H]1O[C@@H]1[C@H]([C@@H]([C@@H](C(=O)OC)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)C[C@H]([C@]4(C)CC[C@@]32C)O)[C@@]1(C)CO)O)O)O)O)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   926.52 Volume:   914.473
?
Van der Waals volume.
Dense:   1.013 LogP:   1.399
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.1
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.985
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The logarithm of aqueous solubility value.
Rotatable Bonds:   9.0 Rigid Bonds:   45.0
TPSA:   263.75
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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:   0.095 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.399 Fsp3:   0.938
MCE-18:   173.419
?
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:   0.799 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:   0.013
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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:   0.225 Promiscuous compounds:   0.127

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.035 MDCK Permeability:   -5.181
Pgp-inhibitor:   0.0 Pgp-substrate:   0.895
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):   0.005
20% Bioavailability (F20%):   0.375 30% Bioavailability (F30%):   0.477
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.569
Plasma Protein Binding (PPB):   75.497% Volume Distribution (VD):   -0.327
Fu: 15.596%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.999
OATP1B3 inhibitor:   0.935 BCRP inhibitor:   0.002
BSEP inhibitor:   0.45

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.001 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.745 CYP3A4-substrate:   0.156
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.096
HLM stability:   0.002
?
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):  0.307 Half-life (T1/2):  2.684

ADMET: Toxicity

hERG Blockers:  0.012 hERG Blockers (10um):  0.14
Human Hepatotoxicity (H-HT):  0.267 Drug-induced Liver Injury (DILI):  0.507
AMES Toxicity:  0.523 Rat Oral Acute Toxicity:  0.017
Maximum Recommended Daily Dose:  0.013 Skin Sensitization:  0.999
Carcinogencity:  0.046 Eye Corrosion:  0.0
Eye Irritation:  0.003 Respiratory Toxicity:  0.003
Drug-induced Neurotoxicity:  0.0 Ototoxicity:  0.985
Hematotoxicity:  0.27 Drug-induced Nephrotoxicity:  0.963
Genotoxicity:  0.159 RPMI-8226 Immunitoxicity:  0.261
A549 Cytotoxicity:  0.336 Hek293 Cytotoxicity:  0.498
BCF:   1.062
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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:   3.54
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.22
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.302
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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
NPO6792 Hedysarum polybotrys Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO6792 Hedysarum polybotrys Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO6792 Hedysarum polybotrys 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

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 NPC182616 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
0.81 Intermediate Similarity NPC486563
0.7767 Intermediate Similarity NPC218954
0.7596 Intermediate Similarity NPC486564
0.7048 Intermediate Similarity NPC162574
0.6852 Remote Similarity NPC236657
0.6514 Remote Similarity NPC475504
0.6422 Remote Similarity NPC118440
0.641 Remote Similarity NPC471550
0.6348 Remote Similarity NPC313110
0.6226 Remote Similarity NPC174679
0.6226 Remote Similarity NPC279554
0.6147 Remote Similarity NPC112352
0.614 Remote Similarity NPC187618
0.614 Remote Similarity NPC470477
0.6068 Remote Similarity NPC76972
0.6068 Remote Similarity NPC469782
0.6068 Remote Similarity NPC204414
0.5929 Remote Similarity NPC297263
0.5893 Remote Similarity NPC164389
0.5739 Remote Similarity NPC95437
0.569 Remote Similarity NPC114692
0.5673 Remote Similarity NPC224121
0.5652 Remote Similarity NPC131469
0.5636 Remote Similarity NPC56713
0.5636 Remote Similarity NPC59804
0.5614 Remote Similarity NPC480475
0.5593 Remote Similarity NPC120116
0.5591 Remote Similarity NPC293330
0.5556 Remote Similarity NPC473452
0.5547 Remote Similarity NPC202828
0.5547 Remote Similarity NPC119592
0.5537 Remote Similarity NPC60557
0.5537 Remote Similarity NPC475287
0.5537 Remote Similarity NPC67857
0.5526 Remote Similarity NPC160415
0.5526 Remote Similarity NPC309714
0.5517 Remote Similarity NPC222580
0.5504 Remote Similarity NPC298034
0.5504 Remote Similarity NPC71065
0.5478 Remote Similarity NPC488526
0.5439 Remote Similarity NPC469945
0.5431 Remote Similarity NPC63159
0.5424 Remote Similarity NPC276093
0.5417 Remote Similarity NPC31838
0.5405 Remote Similarity NPC12288
0.5403 Remote Similarity NPC135904
0.5391 Remote Similarity NPC117714
0.5378 Remote Similarity NPC481079
0.5333 Remote Similarity NPC241909
0.5289 Remote Similarity NPC481078
0.5285 Remote Similarity NPC610204
0.5259 Remote Similarity NPC30289
0.5254 Remote Similarity NPC123796
0.5242 Remote Similarity NPC79643
0.5234 Remote Similarity NPC21691
0.5234 Remote Similarity NPC57484
0.5217 Remote Similarity NPC469946
0.5175 Remote Similarity NPC473373
0.5175 Remote Similarity NPC127056
0.5169 Remote Similarity NPC139044
0.5169 Remote Similarity NPC471383
0.5159 Remote Similarity NPC155410
0.5135 Remote Similarity NPC214484
0.513 Remote Similarity NPC295371
0.512 Remote Similarity NPC123522
0.5118 Remote Similarity NPC100639
0.5085 Remote Similarity NPC10607
0.5085 Remote Similarity NPC173859
0.5085 Remote Similarity NPC148603
0.5085 Remote Similarity NPC46665
0.5085 Remote Similarity NPC2370
0.5079 Remote Similarity NPC133818
0.5079 Remote Similarity NPC165204
0.5077 Remote Similarity NPC286457
0.5076 Remote Similarity NPC236638
0.5076 Remote Similarity NPC294453
0.5076 Remote Similarity NPC305981
0.5046 Remote Similarity NPC476883
0.5042 Remote Similarity NPC105800
0.5041 Remote Similarity NPC104137
0.5041 Remote Similarity NPC207738
0.5041 Remote Similarity NPC26626
0.5039 Remote Similarity NPC123199
0.5038 Remote Similarity NPC261506
0.5038 Remote Similarity NPC4328

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC182616 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