Natural Product: NPC236203

Natural Product IDNPC236203
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
WROHFEWGWYQNPP-QURHSSNOSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 10677252
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

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 WROHFEWGWYQNPP-QURHSSNOSA-N
Standard InCHI InChI=1S/C45H76O19/c1-18(17-58-40-37(55)35(53)32(50)28(15-46)61-40)8-11-45(57)19(2)30-27(64-45)13-24-22-7-6-21-12-26(25(48)14-44(21,5)23(22)9-10-43(24,30)4)60-42-39(36(54)33(51)29(16-47)62-42)63-41-38(56)34(52)31(49)20(3)59-41/h18-42,46-57H,6-17H2,1-5H3/t18-,19+,20+,21+,22-,23+,24+,25-,26-,27+,28-,29-,30+,31+,32-,33-,34-,35+,36+,37-,38-,39-,40-,41+,42-,43+,44+,45?/m1/s1
SMILES C[C@H](CCC1([C@@H](C)[C@H]2[C@H](C[C@H]3[C@@H]4CC[C@H]5C[C@H]([C@@H](C[C@]5(C)[C@H]4CC[C@]23C)O)O[C@H]2[C@@H]([C@H]([C@@H]([C@@H](CO)O2)O)O)O[C@H]2[C@@H]([C@@H]([C@H]([C@H](C)O2)O)O)O)O1)O)CO[C@H]1[C@@H]([C@H]([C@@H]([C@@H](CO)O1)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   920.5 Volume:   885.438
?
Van der Waals volume.
Dense:   1.04 LogP:   0.819
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.639
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.699
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   12.0 Rigid Bonds:   42.0
TPSA:   307.37
?
Topological Polar Surface Area.
H-Bond Acceptor:   19.0
H-Bond Donor:   12.0 Rings:   8.0
Heavy Atoms:   19.0

MedChem Properties

QED Drug-Likeness Score:   0.096 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.424 Fsp3:   1.0
MCE-18:   159.822
?
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:   0.619 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.011
?
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:   0.309 Promiscuous compounds:   0.243

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.311 MDCK Permeability:   -5.148
Pgp-inhibitor:   0.0 Pgp-substrate:   0.965
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):   0.924
20% Bioavailability (F20%):   0.517 30% Bioavailability (F30%):   0.999
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.016 MRP1:   0.013
Plasma Protein Binding (PPB):   45.388% Volume Distribution (VD):   -0.383
Fu: 34.823%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.072
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:   1.0 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.869
HLM stability:   0.02
?
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):  -0.17 Half-life (T1/2):  3.43

ADMET: Toxicity

hERG Blockers:  0.016 hERG Blockers (10um):  0.034
Human Hepatotoxicity (H-HT):  0.654 Drug-induced Liver Injury (DILI):  0.81
AMES Toxicity:  0.873 Rat Oral Acute Toxicity:  0.001
Maximum Recommended Daily Dose:  0.003 Skin Sensitization:  1.0
Carcinogencity:  0.026 Eye Corrosion:  0.0
Eye Irritation:  0.0 Respiratory Toxicity:  0.001
Drug-induced Neurotoxicity:  0.0 Ototoxicity:  1.0
Hematotoxicity:  0.429 Drug-induced Nephrotoxicity:  0.896
Genotoxicity:  0.007 RPMI-8226 Immunitoxicity:  0.186
A549 Cytotoxicity:  0.859 Hek293 Cytotoxicity:  0.604
BCF:   1.426
?
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:   3.386
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.584
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.799
?
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
NPO8210 Trigonella foenum-graecum Species Fabaceae Eukaryota n.a. n.a. n.a. PMID[11599360]
NPO8210 Trigonella foenum-graecum Species Fabaceae Eukaryota n.a. seed n.a. PMID[21381697]
NPO8210 Trigonella foenum-graecum Species Fabaceae Eukaryota n.a. n.a. n.a. PMID[37120447]
NPO8210 Trigonella foenum-graecum Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO8210 Trigonella foenum-graecum Species Fabaceae Eukaryota Fruit n.a. n.a. Database[FooDB]
NPO8210 Trigonella foenum-graecum Species Fabaceae Eukaryota Leaf n.a. n.a. Database[FooDB]
NPO8210 Trigonella foenum-graecum Species Fabaceae Eukaryota Plant n.a. n.a. Database[FooDB]
NPO8210 Trigonella foenum-graecum Species Fabaceae Eukaryota Seed n.a. n.a. Database[FooDB]
NPO8210 Trigonella foenum-graecum Species Fabaceae Eukaryota n.a. n.a. Database[FooDB]
NPO8210 Trigonella foenum-graecum Species Fabaceae Eukaryota n.a. n.a. Database[FooDB]
NPO8210 Trigonella foenum-graecum Species Fabaceae Eukaryota n.a. n.a. Database[Phenol-Explorer]
NPO8210 Trigonella foenum-graecum Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO8210 Trigonella foenum-graecum Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO8210 Trigonella foenum-graecum 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 NPC236203 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
0.7907 Intermediate Similarity NPC291203
0.7907 Intermediate Similarity NPC217205
0.7582 Intermediate Similarity NPC485601
0.701 Intermediate Similarity NPC98696
0.6961 Remote Similarity NPC470861
0.6957 Remote Similarity NPC222731
0.6931 Remote Similarity NPC51520
0.6931 Remote Similarity NPC303069
0.6739 Remote Similarity NPC294686
0.663 Remote Similarity NPC485602
0.6374 Remote Similarity NPC485600
0.6289 Remote Similarity NPC476538
0.6289 Remote Similarity NPC476539
0.6122 Remote Similarity NPC54619
0.604 Remote Similarity NPC195297
0.6038 Remote Similarity NPC73243
0.6038 Remote Similarity NPC244086
0.6038 Remote Similarity NPC84956
0.5926 Remote Similarity NPC470863
0.5926 Remote Similarity NPC247037
0.5888 Remote Similarity NPC98018
0.5888 Remote Similarity NPC284104
0.5888 Remote Similarity NPC103616
0.5888 Remote Similarity NPC102016
0.5888 Remote Similarity NPC95051
0.5766 Remote Similarity NPC249265
0.5714 Remote Similarity NPC23808
0.5714 Remote Similarity NPC87998
0.57 Remote Similarity NPC128123
0.5664 Remote Similarity NPC84111
0.5664 Remote Similarity NPC287483
0.5664 Remote Similarity NPC470865
0.5657 Remote Similarity NPC477451
0.5625 Remote Similarity NPC218571
0.5625 Remote Similarity NPC487615
0.5524 Remote Similarity NPC485599
0.5455 Remote Similarity NPC297348
0.5455 Remote Similarity NPC249204
0.5455 Remote Similarity NPC48339
0.5455 Remote Similarity NPC141769
0.5455 Remote Similarity NPC477547
0.5421 Remote Similarity NPC473601
0.5392 Remote Similarity NPC476540
0.5392 Remote Similarity NPC476541
0.5304 Remote Similarity NPC83137
0.5192 Remote Similarity NPC211354
0.5172 Remote Similarity NPC470862
0.513 Remote Similarity NPC232611
0.5094 Remote Similarity NPC107962
0.5086 Remote Similarity NPC92710

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC236203 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