Natural Product: NPC237307

Natural Product IDNPC237307
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
VMWUHWZFDITAOL-NSHDSACASA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 759293
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0000145] Coumarins and derivatives
        • [CHEMONTID:0000358] Furanocoumarins
          • [CHEMONTID:0002569] Linear furanocoumarins
            • [CHEMONTID:0000202] Psoralens

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 VMWUHWZFDITAOL-NSHDSACASA-N
Standard InCHI InChI=1S/C14H12O3/c1-8(2)11-6-10-5-9-3-4-14(15)17-12(9)7-13(10)16-11/h3-5,7,11H,1,6H2,2H3/t11-/m0/s1
SMILES C=C(C)[C@@H]1Cc2cc3ccc(=O)oc3cc2O1

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   228.08 Volume:   235.583
?
Van der Waals volume.
Dense:   0.968 LogP:   3.333
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.228
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.364
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The logarithm of aqueous solubility value.
Rotatable Bonds:   1.0 Rigid Bonds:   17.0
TPSA:   39.44
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Topological Polar Surface Area.
H-Bond Acceptor:   3.0
H-Bond Donor:   0.0 Rings:   3.0
Heavy Atoms:   3.0

MedChem Properties

QED Drug-Likeness Score:   0.556 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   3.053 Fsp3:   0.214
MCE-18:   51.765
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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:   Rejected
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.542 Fluc inhibitor:   0.936
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.988
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.267
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.632 Promiscuous compounds:   0.407

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.553 MDCK Permeability:   -4.45
Pgp-inhibitor:   0.012 Pgp-substrate:   0.0
PAMPA:   0.173
?
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):   0.0
20% Bioavailability (F20%):   0.31 30% Bioavailability (F30%):   0.316
50% Bioavailability (F50%):   0.09

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.002 MRP1:   0.999
Plasma Protein Binding (PPB):   97.992% Volume Distribution (VD):   -0.11
Fu: 2.185%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.748
OATP1B3 inhibitor:   0.999 BCRP inhibitor:   0.0
BSEP inhibitor:   0.987

ADMET: Metabolism

CYP1A2-inhibitor:   0.082 CYP1A2-substrate:   0.082
CYP2C19-inhibitor:   0.573 CYP2C19-substrate:   0.051
CYP2C9-inhibitor:   0.84 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.012 CYP2D6-substrate:   0.337
CYP3A4-inhibitor:   0.534 CYP3A4-substrate:   0.986
CYP2B6-substrate:   0.079 CYP2C8-inhibitor:   0.988
HLM stability:   0.59
?
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):  7.413 Half-life (T1/2):  0.837

ADMET: Toxicity

hERG Blockers:  0.21 hERG Blockers (10um):  0.365
Human Hepatotoxicity (H-HT):  0.561 Drug-induced Liver Injury (DILI):  0.862
AMES Toxicity:  0.786 Rat Oral Acute Toxicity:  0.79
Maximum Recommended Daily Dose:  0.936 Skin Sensitization:  0.486
Carcinogencity:  0.788 Eye Corrosion:  0.108
Eye Irritation:  0.981 Respiratory Toxicity:  0.886
Drug-induced Neurotoxicity:  0.65 Ototoxicity:  0.238
Hematotoxicity:  0.226 Drug-induced Nephrotoxicity:  0.418
Genotoxicity:  0.984 RPMI-8226 Immunitoxicity:  0.07
A549 Cytotoxicity:  0.141 Hek293 Cytotoxicity:  0.302
BCF:   1.295
?
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:   3.973
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.652
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.136
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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
NPO16039 Scutellaria barbata Species Lamiaceae Eukaryota n.a. whole plant n.a. PMID[16755060]
NPO16039 Scutellaria barbata Species Lamiaceae Eukaryota n.a. aerial part n.a. PMID[17666848]
NPO16039 Scutellaria barbata Species Lamiaceae Eukaryota n.a. aerial part n.a. PMID[18239311]
NPO16039 Scutellaria barbata Species Lamiaceae Eukaryota n.a. n.a. n.a. PMID[19785430]
NPO16039 Scutellaria barbata Species Lamiaceae Eukaryota n.a. n.a. n.a. PMID[19962306]
NPO16039 Scutellaria barbata Species Lamiaceae Eukaryota n.a. n.a. n.a. PMID[20078074]
NPO16039 Scutellaria barbata Species Lamiaceae Eukaryota whole plants Nanning District, Guangxi Province, China 2012-Sep PMID[25647077]
NPO16039 Scutellaria barbata Species Lamiaceae Eukaryota aerial parts Seoul, Korea n.a. PMID[26331882]
NPO16039 Scutellaria barbata Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO16039 Scutellaria barbata Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO16039 Scutellaria barbata Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO16039 Scutellaria barbata Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO16039 Scutellaria barbata Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO16039 Scutellaria barbata Species Lamiaceae 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 NPC237307 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
1.0 High Similarity NPC234109
1.0 High Similarity NPC188327
0.7308 Intermediate Similarity NPC253574
0.7308 Intermediate Similarity NPC98179
0.619 Remote Similarity NPC7526
0.619 Remote Similarity NPC222036
0.619 Remote Similarity NPC14248
0.6182 Remote Similarity NPC248429
0.5893 Remote Similarity NPC111347
0.5789 Remote Similarity NPC72281
0.5692 Remote Similarity NPC207002
0.5692 Remote Similarity NPC133956
0.5692 Remote Similarity NPC47163
0.569 Remote Similarity NPC78746
0.5625 Remote Similarity NPC119640
0.5625 Remote Similarity NPC183646
0.5556 Remote Similarity NPC605579
0.5362 Remote Similarity NPC211110
0.5352 Remote Similarity NPC296377
0.5333 Remote Similarity NPC204353
0.5286 Remote Similarity NPC279573
0.5254 Remote Similarity NPC36414
0.5167 Remote Similarity NPC601133
0.5167 Remote Similarity NPC608534
0.5085 Remote Similarity NPC309953

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC237307 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