Natural Product: NPC288426

Natural Product IDNPC288426
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
OPOXKCGDGZJWHI-UJGPHIHISA-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:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0002506] Isoflavonoids
        • [CHEMONTID:0000507] Isoflavonoid O-glycosides

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 OPOXKCGDGZJWHI-UJGPHIHISA-N
Standard InCHI InChI=1S/C23H24O12/c1-31-14-3-9(4-15(32-2)19(14)27)11-8-33-13-6-10(5-12(25)17(13)18(11)26)34-23-22(30)21(29)20(28)16(7-24)35-23/h3-6,8,16,20-25,27-30H,7H2,1-2H3/t16-,20-,21+,22-,23-/m1/s1
SMILES COc1cc(cc(c1O)OC)c1coc2cc(cc(c2c1=O)O)O[C@H]1[C@@H]([C@H]([C@@H]([C@@H](CO)O1)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   492.13 Volume:   456.529
?
Van der Waals volume.
Dense:   1.078 LogP:   0.505
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.057
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.055
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   6.0 Rigid Bonds:   24.0
TPSA:   188.51
?
Topological Polar Surface Area.
H-Bond Acceptor:   12.0
H-Bond Donor:   6.0 Rings:   4.0
Heavy Atoms:   12.0

MedChem Properties

QED Drug-Likeness Score:   0.272 GASA:   0.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   3.982 Fsp3:   0.348
MCE-18:   89.71
?
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:   Rejected BMS Rule:   0
Chelating Alert:   1 PAINS Alert:   0
Colloidal aggregators:   0.521 Fluc inhibitor:   0.189
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.897
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.823
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.098 Promiscuous compounds:   0.568

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.21 MDCK Permeability:   -5.47
Pgp-inhibitor:   0.003 Pgp-substrate:   0.549
PAMPA:   0.953
?
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):   0.805
20% Bioavailability (F20%):   0.03 30% Bioavailability (F30%):   0.966
50% Bioavailability (F50%):   0.995

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.003 MRP1:   0.416
Plasma Protein Binding (PPB):   85.194% Volume Distribution (VD):   -0.277
Fu: 14.281%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.84
BSEP inhibitor:   0.003

ADMET: Metabolism

CYP1A2-inhibitor:   0.013 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.098 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.003 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.165
HLM stability:   0.05
?
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):  3.126 Half-life (T1/2):  3.856

ADMET: Toxicity

hERG Blockers:  0.033 hERG Blockers (10um):  0.127
Human Hepatotoxicity (H-HT):  0.69 Drug-induced Liver Injury (DILI):  0.989
AMES Toxicity:  0.886 Rat Oral Acute Toxicity:  0.056
Maximum Recommended Daily Dose:  0.075 Skin Sensitization:  0.944
Carcinogencity:  0.416 Eye Corrosion:  0.0
Eye Irritation:  0.134 Respiratory Toxicity:  0.045
Drug-induced Neurotoxicity:  0.01 Ototoxicity:  0.919
Hematotoxicity:  0.327 Drug-induced Nephrotoxicity:  0.762
Genotoxicity:  0.776 RPMI-8226 Immunitoxicity:  0.195
A549 Cytotoxicity:  0.348 Hek293 Cytotoxicity:  0.312
BCF:   0.434
?
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:   3.137
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.503
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.692
?
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 NPC288426 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
0.7973 Intermediate Similarity NPC73511
0.7838 Intermediate Similarity NPC197896
0.7838 Intermediate Similarity NPC313163
0.7368 Intermediate Similarity NPC234739
0.7089 Intermediate Similarity NPC80140
0.6667 Remote Similarity NPC481043
0.6667 Remote Similarity NPC224462
0.6667 Remote Similarity NPC160515
0.6628 Remote Similarity NPC479405
0.6627 Remote Similarity NPC48773
0.6582 Remote Similarity NPC348541
0.6552 Remote Similarity NPC479404
0.6429 Remote Similarity NPC479407
0.6341 Remote Similarity NPC205076
0.631 Remote Similarity NPC307518
0.6296 Remote Similarity NPC156457
0.619 Remote Similarity NPC229729
0.6145 Remote Similarity NPC100720
0.6092 Remote Similarity NPC487212
0.6049 Remote Similarity NPC45165
0.6044 Remote Similarity NPC479403
0.5952 Remote Similarity NPC138540
0.5904 Remote Similarity NPC105511
0.5904 Remote Similarity NPC95090
0.5904 Remote Similarity NPC161749
0.5904 Remote Similarity NPC27408
0.5897 Remote Similarity NPC191154
0.5882 Remote Similarity NPC479402
0.5854 Remote Similarity NPC135345
0.5823 Remote Similarity NPC134819
0.5814 Remote Similarity NPC22832
0.5814 Remote Similarity NPC243930
0.5747 Remote Similarity NPC311830
0.5747 Remote Similarity NPC607201
0.5714 Remote Similarity NPC303913
0.5647 Remote Similarity NPC84362
0.5632 Remote Similarity NPC486578
0.5595 Remote Similarity NPC289667
0.5581 Remote Similarity NPC60966
0.5568 Remote Similarity NPC479406
0.5568 Remote Similarity NPC607707
0.5529 Remote Similarity NPC487213
0.5529 Remote Similarity NPC258035
0.5526 Remote Similarity NPC114192
0.5517 Remote Similarity NPC479401
0.5517 Remote Similarity NPC285197
0.5506 Remote Similarity NPC601586
0.5455 Remote Similarity NPC601144
0.5455 Remote Similarity NPC601607
0.5412 Remote Similarity NPC261866
0.5412 Remote Similarity NPC39360
0.5412 Remote Similarity NPC29763
0.5412 Remote Similarity NPC210003
0.5349 Remote Similarity NPC297987
0.5349 Remote Similarity NPC277205
0.5349 Remote Similarity NPC37919
0.5349 Remote Similarity NPC136042
0.5349 Remote Similarity NPC323593
0.5349 Remote Similarity NPC203500
0.5349 Remote Similarity NPC189142
0.5349 Remote Similarity NPC77660
0.5287 Remote Similarity NPC22195
0.5287 Remote Similarity NPC21190
0.5287 Remote Similarity NPC603655
0.5281 Remote Similarity NPC610187
0.527 Remote Similarity NPC116632
0.5227 Remote Similarity NPC222936
0.5227 Remote Similarity NPC325555
0.5227 Remote Similarity NPC226304
0.5217 Remote Similarity NPC251417
0.52 Remote Similarity NPC303644
0.5172 Remote Similarity NPC603782
0.5169 Remote Similarity NPC307938
0.5063 Remote Similarity NPC99515
0.5055 Remote Similarity NPC116458
0.5055 Remote Similarity NPC246943
0.5055 Remote Similarity NPC605784

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC288426 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
0.5904 Remote Similarity NPD4381 Clinical (unspecified phase)

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