Natural Product: NPC237804

Natural Product IDNPC237804
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
DWCSNWXARWMZTG-ZXZJUUDWSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID n.a.
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001553] Triterpenoids

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 DWCSNWXARWMZTG-ZXZJUUDWSA-N
Standard InCHI InChI=1S/C27H42O3/c1-16-7-12-27(29-15-16)17(2)24-23(30-27)14-22-20-6-5-18-13-19(28)8-10-25(18,3)21(20)9-11-26(22,24)4/h13,16-17,19-24,28H,5-12,14-15H2,1-4H3/t16-,17+,19+,20+,21+,22-,23+,24+,25+,26+,27-/m1/s1
SMILES C[C@@H]1CC[C@@]2([C@@H](C)[C@H]3[C@H](C[C@@H]4[C@H]5CCC6=C[C@H](CC[C@]6(C)[C@H]5CC[C@]34C)O)O2)OC1

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   414.31 Volume:   447.944
?
Van der Waals volume.
Dense:   0.925 LogP:   5.37
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.424
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.809
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The logarithm of aqueous solubility value.
Rotatable Bonds:   0.0 Rigid Bonds:   30.0
TPSA:   38.69
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Topological Polar Surface Area.
H-Bond Acceptor:   3.0
H-Bond Donor:   1.0 Rings:   6.0
Heavy Atoms:   3.0

MedChem Properties

QED Drug-Likeness Score:   0.516 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.302 Fsp3:   0.926
MCE-18:   137.077
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MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Rejected
Pfizer Rule:   Accepted GSK Rule:   Accepted
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.872 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:   0.014
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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:   0.186 Promiscuous compounds:   0.413

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.811 MDCK Permeability:   -4.778
Pgp-inhibitor:   0.968 Pgp-substrate:   0.075
PAMPA:   0.092
?
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):   0.0
20% Bioavailability (F20%):   0.652 30% Bioavailability (F30%):   0.56
50% Bioavailability (F50%):   0.988

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.105 MRP1:   0.57
Plasma Protein Binding (PPB):   70.179% Volume Distribution (VD):   -0.049
Fu: 29.016%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.998 BCRP inhibitor:   0.558
BSEP inhibitor:   0.999

ADMET: Metabolism

CYP1A2-inhibitor:   0.002 CYP1A2-substrate:   0.626
CYP2C19-inhibitor:   1.0 CYP2C19-substrate:   0.184
CYP2C9-inhibitor:   0.008 CYP2C9-substrate:   0.295
CYP2D6-inhibitor:   0.037 CYP2D6-substrate:   0.887
CYP3A4-inhibitor:   0.997 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.978
HLM stability:   0.979
?
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):  19.485 Half-life (T1/2):  1.651

ADMET: Toxicity

hERG Blockers:  0.272 hERG Blockers (10um):  0.547
Human Hepatotoxicity (H-HT):  0.682 Drug-induced Liver Injury (DILI):  0.789
AMES Toxicity:  0.376 Rat Oral Acute Toxicity:  0.49
Maximum Recommended Daily Dose:  0.909 Skin Sensitization:  0.995
Carcinogencity:  0.852 Eye Corrosion:  0.042
Eye Irritation:  0.649 Respiratory Toxicity:  0.851
Drug-induced Neurotoxicity:  0.164 Ototoxicity:  0.679
Hematotoxicity:  0.136 Drug-induced Nephrotoxicity:  0.547
Genotoxicity:  0.03 RPMI-8226 Immunitoxicity:  0.168
A549 Cytotoxicity:  0.481 Hek293 Cytotoxicity:  0.855
BCF:   2.555
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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:   4.092
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.958
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.74
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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
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]
NPO7639 Senecio isatideus Species Asteraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO14100 Persea kusanoi Species Lauraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO4593 Lagerstroemia indica Species Lythraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO433 Geranium sibiricum Species Geraniaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO2263 Croton megistocarpus Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO8075 Cacospongia scalaris Species Thorectidae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO4582 Baphicacanthus cusia Species Acanthaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO8210 Trigonella foenum-graecum Species Fabaceae Eukaryota n.a. n.a. Database[FooDB]
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]
NPO4582 Baphicacanthus cusia Species Acanthaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO4593 Lagerstroemia indica Species Lythraceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO433 Geranium sibiricum Species Geraniaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO8210 Trigonella foenum-graecum Species Fabaceae Eukaryota n.a. n.a. Database[Phenol-Explorer]
NPO4593 Lagerstroemia indica Species Lythraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO433 Geranium sibiricum Species Geraniaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO8210 Trigonella foenum-graecum Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO4582 Baphicacanthus cusia Species Acanthaceae 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]
NPO4593 Lagerstroemia indica Species Lythraceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO4582 Baphicacanthus cusia Species Acanthaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO433 Geranium sibiricum Species Geraniaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO7639 Senecio isatideus Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO4593 Lagerstroemia indica Species Lythraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO4582 Baphicacanthus cusia Species Acanthaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO8075 Cacospongia scalaris Species Thorectidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO8210 Trigonella foenum-graecum Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO2263 Croton megistocarpus Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO14100 Persea kusanoi Species Lauraceae 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 NPC237804 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
0.7059 Intermediate Similarity NPC235126
0.7059 Intermediate Similarity NPC242419
0.6866 Remote Similarity NPC187159
0.6164 Remote Similarity NPC486119
0.6029 Remote Similarity NPC248944
0.6029 Remote Similarity NPC7479
0.6029 Remote Similarity NPC257296
0.5946 Remote Similarity NPC100451
0.5942 Remote Similarity NPC296734
0.5811 Remote Similarity NPC177818
0.5797 Remote Similarity NPC227260
0.5714 Remote Similarity NPC273290
0.5714 Remote Similarity NPC232044
0.5663 Remote Similarity NPC181845
0.5479 Remote Similarity NPC305808
0.5479 Remote Similarity NPC481427
0.5211 Remote Similarity NPC24556
0.5185 Remote Similarity NPC88962
0.5109 Remote Similarity NPC470432
0.5109 Remote Similarity NPC230507
0.5075 Remote Similarity NPC244488
0.5065 Remote Similarity NPC52585
0.5063 Remote Similarity NPC176406

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC237804 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
0.6029 Remote Similarity NPD6928 Phase 2

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