Natural Product: NPC96566

Natural Product IDNPC96566
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
WDUKPMSWWVPFRK-UHFFFAOYSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 24795708
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0002506] Isoflavonoids
        • [CHEMONTID:0002586] O-methylated isoflavonoids
          • [CHEMONTID:0002606] 4'-O-methylated isoflavonoids
            • [CHEMONTID:0002687] 4'-O-methylisoflavones

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 WDUKPMSWWVPFRK-UHFFFAOYSA-N
Standard InCHI InChI=1S/C21H20O5/c1-12(2)4-5-13-8-16(18(23)10-19(13)25-3)17-11-26-20-9-14(22)6-7-15(20)21(17)24/h4,6-11,22-23H,5H2,1-3H3
SMILES CC(=CCc1cc(c2coc3cc(ccc3c2=O)O)c(cc1OC)O)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   352.13 Volume:   366.326
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Van der Waals volume.
Dense:   0.961 LogP:   3.81
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.299
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.865
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The logarithm of aqueous solubility value.
Rotatable Bonds:   4.0 Rigid Bonds:   19.0
TPSA:   79.9
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Topological Polar Surface Area.
H-Bond Acceptor:   5.0
H-Bond Donor:   2.0 Rings:   3.0
Heavy Atoms:   5.0

MedChem Properties

QED Drug-Likeness Score:   0.681 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   2.67 Fsp3:   0.19
MCE-18:   19.0
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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:   Rejected
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.85 Fluc inhibitor:   0.694
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.895
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.572
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.332 Promiscuous compounds:   0.062

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.765 MDCK Permeability:   -4.688
Pgp-inhibitor:   0.022 Pgp-substrate:   0.093
PAMPA:   0.27
?
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):   0.031
20% Bioavailability (F20%):   0.976 30% Bioavailability (F30%):   0.995
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.001 MRP1:   0.791
Plasma Protein Binding (PPB):   90.255% Volume Distribution (VD):   0.259
Fu: 9.79%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.791
OATP1B3 inhibitor:   0.967 BCRP inhibitor:   0.993
BSEP inhibitor:   0.48

ADMET: Metabolism

CYP1A2-inhibitor:   0.239 CYP1A2-substrate:   1.0
CYP2C19-inhibitor:   0.682 CYP2C19-substrate:   0.945
CYP2C9-inhibitor:   0.225 CYP2C9-substrate:   0.862
CYP2D6-inhibitor:   0.767 CYP2D6-substrate:   0.902
CYP3A4-inhibitor:   0.002 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
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):  7.636 Half-life (T1/2):  1.398

ADMET: Toxicity

hERG Blockers:  0.188 hERG Blockers (10um):  0.596
Human Hepatotoxicity (H-HT):  0.584 Drug-induced Liver Injury (DILI):  0.645
AMES Toxicity:  0.646 Rat Oral Acute Toxicity:  0.772
Maximum Recommended Daily Dose:  0.849 Skin Sensitization:  0.488
Carcinogencity:  0.741 Eye Corrosion:  0.001
Eye Irritation:  0.878 Respiratory Toxicity:  0.877
Drug-induced Neurotoxicity:  0.451 Ototoxicity:  0.399
Hematotoxicity:  0.202 Drug-induced Nephrotoxicity:  0.355
Genotoxicity:  0.931 RPMI-8226 Immunitoxicity:  0.087
A549 Cytotoxicity:  0.376 Hek293 Cytotoxicity:  0.661
BCF:   1.645
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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:   4.596
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.716
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.283
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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
NPO27807 Calotropis procera Species Apocynaceae Eukaryota root barks n.a. n.a. PMID[15689169]
NPO27459 Balanophora tobiracola Species Balanophoraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO27807 Calotropis procera Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO22444 Ceramium boydenii Species Ceramiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO27807 Calotropis procera Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO22444 Ceramium boydenii Species Ceramiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO27807 Calotropis procera Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO27459 Balanophora tobiracola Species Balanophoraceae 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 NPC96566 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
0.7353 Intermediate Similarity NPC149875
0.7246 Intermediate Similarity NPC104555
0.6515 Remote Similarity NPC156953
0.6438 Remote Similarity NPC609101
0.6418 Remote Similarity NPC291802
0.6377 Remote Similarity NPC161124
0.6269 Remote Similarity NPC12175
0.6056 Remote Similarity NPC215311
0.5797 Remote Similarity NPC40290
0.5797 Remote Similarity NPC195763
0.5692 Remote Similarity NPC235428
0.5588 Remote Similarity NPC203747
0.5588 Remote Similarity NPC209560
0.5588 Remote Similarity NPC490700
0.5588 Remote Similarity NPC609386
0.5571 Remote Similarity NPC191741
0.5526 Remote Similarity NPC266572
0.5513 Remote Similarity NPC7989
0.5467 Remote Similarity NPC233918
0.5429 Remote Similarity NPC262623
0.5429 Remote Similarity NPC12377
0.5352 Remote Similarity NPC80710
0.5352 Remote Similarity NPC139364
0.5325 Remote Similarity NPC26051
0.5325 Remote Similarity NPC253822
0.5278 Remote Similarity NPC200060
0.5278 Remote Similarity NPC55162
0.5263 Remote Similarity NPC268059
0.5263 Remote Similarity NPC611071
0.5211 Remote Similarity NPC121527
0.5195 Remote Similarity NPC166036
0.5195 Remote Similarity NPC128774
0.5185 Remote Similarity NPC123653
0.5152 Remote Similarity NPC212767
0.5067 Remote Similarity NPC215375

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC96566 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