Natural Product: NPC476166

Natural Product IDNPC476166
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Lespeflorin G6
IUPAC Name (6aR,11aR)-9-methoxy-8-methyl-10-(3-methylbut-2-enyl)-6a,11a-dihydro-6H-[1]benzofuro[3,2-c]chromen-3-ol
Synonyms Lespeflorin G6
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL550223
PubChem CID 45270490
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0002506] Isoflavonoids
        • [CHEMONTID:0002617] Furanoisoflavonoids
          • [CHEMONTID:0001608] Pterocarpans

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 AUTKSCVETOWBRA-RXVVDRJESA-N
Standard InCHI InChI=1S/C22H24O4/c1-12(2)5-7-16-20(24-4)13(3)9-17-18-11-25-19-10-14(23)6-8-15(19)21(18)26-22(16)17/h5-6,8-10,18,21,23H,7,11H2,1-4H3/t18-,21-/m0/s1
SMILES COc1c(C)cc2c(c1CC=C(C)C)O[C@@H]1[C@H]2COc2c1ccc(c2)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   352.17 Volume:   371.548
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Van der Waals volume.
Dense:   0.948 LogP:   4.808
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.962
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.654
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The logarithm of aqueous solubility value.
Rotatable Bonds:   3.0 Rigid Bonds:   21.0
TPSA:   47.92
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Topological Polar Surface Area.
H-Bond Acceptor:   4.0
H-Bond Donor:   1.0 Rings:   4.0
Heavy Atoms:   4.0

MedChem Properties

QED Drug-Likeness Score:   0.804 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   3.685 Fsp3:   0.364
MCE-18:   73.6
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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:   0.971 Fluc inhibitor:   0.846
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.424
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.36
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.229 Promiscuous compounds:   0.086

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.735 MDCK Permeability:   -4.724
Pgp-inhibitor:   0.204 Pgp-substrate:   0.474
PAMPA:   0.082
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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):   0.001
20% Bioavailability (F20%):   0.929 30% Bioavailability (F30%):   0.942
50% Bioavailability (F50%):   0.995

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.382 MRP1:   0.976
Plasma Protein Binding (PPB):   94.831% Volume Distribution (VD):   0.301
Fu: 5.033%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.999
OATP1B3 inhibitor:   0.967 BCRP inhibitor:   0.475
BSEP inhibitor:   0.967

ADMET: Metabolism

CYP1A2-inhibitor:   0.011 CYP1A2-substrate:   1.0
CYP2C19-inhibitor:   1.0 CYP2C19-substrate:   1.0
CYP2C9-inhibitor:   0.029 CYP2C9-substrate:   0.656
CYP2D6-inhibitor:   0.91 CYP2D6-substrate:   0.689
CYP3A4-inhibitor:   0.999 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   1.0
?
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):  6.393 Half-life (T1/2):  1.958

ADMET: Toxicity

hERG Blockers:  0.128 hERG Blockers (10um):  0.59
Human Hepatotoxicity (H-HT):  0.691 Drug-induced Liver Injury (DILI):  0.528
AMES Toxicity:  0.623 Rat Oral Acute Toxicity:  0.572
Maximum Recommended Daily Dose:  0.578 Skin Sensitization:  0.898
Carcinogencity:  0.56 Eye Corrosion:  0.003
Eye Irritation:  0.89 Respiratory Toxicity:  0.77
Drug-induced Neurotoxicity:  0.567 Ototoxicity:  0.598
Hematotoxicity:  0.294 Drug-induced Nephrotoxicity:  0.605
Genotoxicity:  0.674 RPMI-8226 Immunitoxicity:  0.055
A549 Cytotoxicity:  0.309 Hek293 Cytotoxicity:  0.611
BCF:   2.109
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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:   4.908
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.585
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.917
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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
NPO13293 Lespedeza floribunda Species Fabaceae Eukaryota roots n.a. n.a. PMID[19132934]
NPO13293 Lespedeza floribunda Species Fabaceae Eukaryota n.a. root n.a. PMID[19132934]
NPO13293 Lespedeza floribunda Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO13293 Lespedeza floribunda 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
NPT2 Others Unspecified n.a. IC50 = 6160.0 nM PMID[12502346]

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 NPC476166 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
0.8197 Intermediate Similarity NPC228369
0.8197 Intermediate Similarity NPC300875
0.75 Intermediate Similarity NPC280653
0.7121 Intermediate Similarity NPC45257
0.7031 Intermediate Similarity NPC164574
0.6769 Remote Similarity NPC150011
0.6615 Remote Similarity NPC236014
0.6269 Remote Similarity NPC605244
0.6056 Remote Similarity NPC47633
0.5942 Remote Similarity NPC118114
0.5833 Remote Similarity NPC471215
0.5833 Remote Similarity NPC12641
0.5833 Remote Similarity NPC262573
0.5714 Remote Similarity NPC129784
0.5714 Remote Similarity NPC206224
0.5692 Remote Similarity NPC27495
0.5634 Remote Similarity NPC27187
0.5634 Remote Similarity NPC470225
0.5606 Remote Similarity NPC198358
0.5606 Remote Similarity NPC39064
0.5606 Remote Similarity NPC73320
0.5606 Remote Similarity NPC47283
0.5606 Remote Similarity NPC295697
0.5571 Remote Similarity NPC196765
0.5522 Remote Similarity NPC236306
0.5522 Remote Similarity NPC107161
0.5493 Remote Similarity NPC12875
0.5429 Remote Similarity NPC85264
0.5417 Remote Similarity NPC124085
0.5417 Remote Similarity NPC271945
0.5405 Remote Similarity NPC85435
0.5405 Remote Similarity NPC63879
0.5373 Remote Similarity NPC129106
0.5278 Remote Similarity NPC102044
0.527 Remote Similarity NPC280092
0.527 Remote Similarity NPC93323
0.527 Remote Similarity NPC225696
0.5205 Remote Similarity NPC268917
0.5147 Remote Similarity NPC32633
0.5135 Remote Similarity NPC223008
0.5128 Remote Similarity NPC13005
0.5068 Remote Similarity NPC62730
0.5067 Remote Similarity NPC17343

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC476166 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