Natural Product: NPC93552

Natural Product IDNPC93552
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
5,7,3',4'-Tetrahydroxy-2',5'-Di(3-Methylbut-2-Enyl)Isoflavone
IUPAC Name 3-[3,4-dihydroxy-2,5-bis(3-methylbut-2-enyl)phenyl]-5,7-dihydroxychromen-4-one
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL2442950
PubChem CID 12096316
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0002506] Isoflavonoids
        • [CHEMONTID:0002901] Isoflav-2-enes
          • [CHEMONTID:0000494] Isoflavones
            • [CHEMONTID:0003580] 2'-prenylated isoflavones

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 RWGZXUWGOARVDQ-UHFFFAOYSA-N
Standard InCHI InChI=1S/C25H26O6/c1-13(2)5-7-15-9-18(17(8-6-14(3)4)25(30)23(15)28)19-12-31-21-11-16(26)10-20(27)22(21)24(19)29/h5-6,9-12,26-28,30H,7-8H2,1-4H3
SMILES CC(=CCc1cc(c(CC=C(C)C)c(c1O)O)c1coc2cc(cc(c2c1=O)O)O)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   422.17 Volume:   441.663
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Van der Waals volume.
Dense:   0.956 LogP:   4.215
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.392
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.616
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The logarithm of aqueous solubility value.
Rotatable Bonds:   5.0 Rigid Bonds:   20.0
TPSA:   111.13
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Topological Polar Surface Area.
H-Bond Acceptor:   6.0
H-Bond Donor:   4.0 Rings:   3.0
Heavy Atoms:   6.0

MedChem Properties

QED Drug-Likeness Score:   0.328 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   3.223 Fsp3:   0.24
MCE-18:   22.0
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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:   Rejected GSK Rule:   Accepted
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   1 PAINS Alert:   1
Colloidal aggregators:   0.983 Fluc inhibitor:   0.571
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.87
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.353
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.52 Promiscuous compounds:   0.095

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.182 MDCK Permeability:   -4.805
Pgp-inhibitor:   0.047 Pgp-substrate:   0.03
PAMPA:   0.74
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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):   0.18
20% Bioavailability (F20%):   0.999 30% Bioavailability (F30%):   1.0
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.912
Plasma Protein Binding (PPB):   94.326% Volume Distribution (VD):   0.145
Fu: 5.923%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.911
OATP1B3 inhibitor:   0.917 BCRP inhibitor:   1.0
BSEP inhibitor:   0.082

ADMET: Metabolism

CYP1A2-inhibitor:   0.017 CYP1A2-substrate:   1.0
CYP2C19-inhibitor:   0.998 CYP2C19-substrate:   1.0
CYP2C9-inhibitor:   0.084 CYP2C9-substrate:   0.632
CYP2D6-inhibitor:   0.97 CYP2D6-substrate:   0.161
CYP3A4-inhibitor:   0.002 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   1.0
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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):  6.877 Half-life (T1/2):  1.237

ADMET: Toxicity

hERG Blockers:  0.044 hERG Blockers (10um):  0.538
Human Hepatotoxicity (H-HT):  0.615 Drug-induced Liver Injury (DILI):  0.86
AMES Toxicity:  0.742 Rat Oral Acute Toxicity:  0.923
Maximum Recommended Daily Dose:  0.908 Skin Sensitization:  0.875
Carcinogencity:  0.574 Eye Corrosion:  0.0
Eye Irritation:  0.547 Respiratory Toxicity:  0.972
Drug-induced Neurotoxicity:  0.255 Ototoxicity:  0.499
Hematotoxicity:  0.116 Drug-induced Nephrotoxicity:  0.599
Genotoxicity:  0.998 RPMI-8226 Immunitoxicity:  0.076
A549 Cytotoxicity:  0.667 Hek293 Cytotoxicity:  0.794
BCF:   2.046
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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:   5.151
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.804
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   6.296
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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
NPO4010 Flemingia philippinensis Species Fabaceae Eukaryota Roots n.a. n.a. PMID[24054487]
NPO4010 Flemingia philippinensis Species Fabaceae Eukaryota roots n.a. n.a. PMID[24412339]
NPO4010 Flemingia philippinensis Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO4010 Flemingia philippinensis Species Fabaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO4010 Flemingia philippinensis Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO4010 Flemingia philippinensis Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO4010 Flemingia philippinensis 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
NPT344 Individual protein Sialidase Clostridium perfringens Ki = 7860.0 nM DrugMatrix in vitro pharmacology data
NPT344 Individual protein Sialidase Clostridium perfringens IC50 = 7850.0 nM PMID[23398362]

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 NPC93552 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
0.7705 Intermediate Similarity NPC85131
0.7258 Intermediate Similarity NPC238279
0.6875 Remote Similarity NPC213659
0.6875 Remote Similarity NPC326109
0.6364 Remote Similarity NPC232947
0.6301 Remote Similarity NPC303174
0.6176 Remote Similarity NPC233918
0.6176 Remote Similarity NPC268059
0.6087 Remote Similarity NPC128774
0.6087 Remote Similarity NPC485109
0.55 Remote Similarity NPC193792
0.5493 Remote Similarity NPC475705
0.5479 Remote Similarity NPC488567
0.5432 Remote Similarity NPC324447
0.5429 Remote Similarity NPC203077
0.541 Remote Similarity NPC39426
0.541 Remote Similarity NPC608554
0.5333 Remote Similarity NPC474960
0.5294 Remote Similarity NPC476055
0.5238 Remote Similarity NPC87545
0.5238 Remote Similarity NPC38065
0.5231 Remote Similarity NPC78341
0.5224 Remote Similarity NPC309154
0.5152 Remote Similarity NPC294409
0.5152 Remote Similarity NPC490701
0.5139 Remote Similarity NPC48624
0.5139 Remote Similarity NPC169162
0.5075 Remote Similarity NPC19980
0.5075 Remote Similarity NPC239363
0.507 Remote Similarity NPC205046

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC93552 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
0.541 Remote Similarity NPD1510 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