Natural Product: NPC527262

Natural Product IDNPC527262
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
104494-30-6
IUPAC Name 2-[6-(1,1-dimethylallyl)-8-hydroxy-2,2-dimethyl-chromen-5-yl]-3,5,7-trihydroxy-8-(3-methylbut-2-enyl)chromen-4-one
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID n.a.
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]

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 IPEIKURTJZUDQI-UHFFFAOYSA-N
Standard InCHI InChI=1S/C30H32O7/c1-8-29(4,5)18-13-21(33)26-17(11-12-30(6,7)37-26)22(18)28-25(35)24(34)23-20(32)14-19(31)16(27(23)36-28)10-9-15(2)3/h8-9,11-14,31-33,35H,1,10H2,2-7H3
SMILES C=CC(C)(C)C1=CC(O)=C2OC(C)(C)C=CC2=C1C1=C(O)C(=O)C2=C(O)C=C(O)C(CC=C(C)C)=C2O1

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   504.21 Volume:   525.741
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Van der Waals volume.
Dense:   0.959 LogP:   5.203
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.778
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.262
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The logarithm of aqueous solubility value.
Rotatable Bonds:   5.0 Rigid Bonds:   25.0
TPSA:   120.36
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Topological Polar Surface Area.
H-Bond Acceptor:   7.0
H-Bond Donor:   4.0 Rings:   4.0
Heavy Atoms:   7.0

MedChem Properties

QED Drug-Likeness Score:   0.295 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   3.767 Fsp3:   0.3
MCE-18:   65.641
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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:   0
Chelating Alert:   1 PAINS Alert:   0
Colloidal aggregators:   0.998 Fluc inhibitor:   0.093
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.757
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.851
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.315 Promiscuous compounds:   0.198

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.216 MDCK Permeability:   -4.764
Pgp-inhibitor:   0.876 Pgp-substrate:   0.034
PAMPA:   0.206
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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):   0.018
20% Bioavailability (F20%):   0.987 30% Bioavailability (F30%):   1.0
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.994
Plasma Protein Binding (PPB):   96.617% Volume Distribution (VD):   0.146
Fu: 3.068%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.989 BCRP inhibitor:   0.996
BSEP inhibitor:   0.976

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   1.0
CYP2C19-inhibitor:   0.967 CYP2C19-substrate:   1.0
CYP2C9-inhibitor:   0.798 CYP2C9-substrate:   0.022
CYP2D6-inhibitor:   0.017 CYP2D6-substrate:   0.304
CYP3A4-inhibitor:   0.0 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):  3.741 Half-life (T1/2):  1.603

ADMET: Toxicity

hERG Blockers:  0.024 hERG Blockers (10um):  0.611
Human Hepatotoxicity (H-HT):  0.337 Drug-induced Liver Injury (DILI):  0.687
AMES Toxicity:  0.322 Rat Oral Acute Toxicity:  0.804
Maximum Recommended Daily Dose:  0.809 Skin Sensitization:  0.968
Carcinogencity:  0.345 Eye Corrosion:  0.006
Eye Irritation:  0.927 Respiratory Toxicity:  0.993
Drug-induced Neurotoxicity:  0.084 Ototoxicity:  0.307
Hematotoxicity:  0.073 Drug-induced Nephrotoxicity:  0.088
Genotoxicity:  0.652 RPMI-8226 Immunitoxicity:  0.087
A549 Cytotoxicity:  0.598 Hek293 Cytotoxicity:  0.676
BCF:   2.006
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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:   5.081
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.963
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   6.384
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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
NPO5495 Broussonetia papyrifera Species Moraceae Eukaryota n.a. root n.a. PMID[11395279]
NPO5495 Broussonetia papyrifera Species Moraceae Eukaryota whole plants Shawnee National Forest, Harrisburg, IL, US n.a. PMID[11678652]
NPO5495 Broussonetia papyrifera Species Moraceae Eukaryota whole plants n.a. n.a. PMID[11678652]
NPO5495 Broussonetia papyrifera Species Moraceae Eukaryota n.a. n.a. n.a. PMID[12419367]
NPO5495 Broussonetia papyrifera Species Moraceae Eukaryota leaves Kaohsiung, Taiwan 2006-SEP PMID[18986201]
NPO5495 Broussonetia papyrifera Species Moraceae Eukaryota Fruits n.a. n.a. PMID[19296617]
NPO5495 Broussonetia papyrifera Species Moraceae Eukaryota n.a. formosan n.a. PMID[8864236]
NPO5495 Broussonetia papyrifera Species Moraceae Eukaryota n.a. n.a. n.a. PMID[9358644]
NPO5495 Broussonetia papyrifera Species Moraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO5495 Broussonetia papyrifera Species Moraceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO5495 Broussonetia papyrifera Species Moraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO5495 Broussonetia papyrifera Species Moraceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO5495 Broussonetia papyrifera Species Moraceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO5495 Broussonetia papyrifera Species Moraceae 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 NPC527262 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
0.5882 Remote Similarity NPC78332
0.5455 Remote Similarity NPC471985
0.5301 Remote Similarity NPC13779
0.5244 Remote Similarity NPC273538
0.5172 Remote Similarity NPC603436
0.5125 Remote Similarity NPC9117
0.5125 Remote Similarity NPC63187

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC527262 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
0.5244 Remote Similarity NPD4378 Phase 3

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