Natural Product: NPC18782

Natural Product IDNPC18782
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
NKRGFKAFZUDVES-YRIDSSQKSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID n.a.
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0000334] Flavonoids
        • [CHEMONTID:0001111] Flavonoid glycosides
          • [CHEMONTID:0001583] Flavonoid O-glycosides
            • [CHEMONTID:0002934] Flavonoid O-glucuronides

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 NKRGFKAFZUDVES-YRIDSSQKSA-N
Standard InCHI InChI=1S/C21H18O11/c22-9-5-11(23)15-12(24)7-13(31-14(15)6-9)8-1-3-10(4-2-8)30-21-18(27)16(25)17(26)19(32-21)20(28)29/h1-7,16-19,21-23,25-27H,(H,28,29)/p-1/t16-,17-,18+,19-,21+/m1/s1
SMILES c1cc(ccc1c1cc(=O)c2c(cc(cc2o1)[O-])O)O[C@@H]1[C@H]([C@@H]([C@H]([C@H](C(=O)O)O1)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   446.08 Volume:   410.511
?
Van der Waals volume.
Dense:   1.087 LogP:   1.371
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.519
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.6
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The logarithm of aqueous solubility value.
Rotatable Bonds:   4.0 Rigid Bonds:   25.0
TPSA:   187.12
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Topological Polar Surface Area.
H-Bond Acceptor:   11.0
H-Bond Donor:   6.0 Rings:   4.0
Heavy Atoms:   11.0

MedChem Properties

QED Drug-Likeness Score:   0.32 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   3.852 Fsp3:   0.238
MCE-18:   88.0
?
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:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.483 Fluc inhibitor:   0.385
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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:   0.874
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.302 Promiscuous compounds:   0.396

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.308 MDCK Permeability:   -5.17
Pgp-inhibitor:   0.0 Pgp-substrate:   0.637
PAMPA:   1.0
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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):   0.017
20% Bioavailability (F20%):   0.033 30% Bioavailability (F30%):   0.364
50% Bioavailability (F50%):   0.483

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.957
Plasma Protein Binding (PPB):   87.405% Volume Distribution (VD):   -0.303
Fu: 8.647%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.05
OATP1B3 inhibitor:   0.783 BCRP inhibitor:   0.104
BSEP inhibitor:   0.002

ADMET: Metabolism

CYP1A2-inhibitor:   0.001 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.001 CYP2C9-substrate:   0.004
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.012
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.945
HLM stability:   0.141
?
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):  1.251 Half-life (T1/2):  3.675

ADMET: Toxicity

hERG Blockers:  0.022 hERG Blockers (10um):  0.079
Human Hepatotoxicity (H-HT):  0.593 Drug-induced Liver Injury (DILI):  0.99
AMES Toxicity:  0.754 Rat Oral Acute Toxicity:  0.099
Maximum Recommended Daily Dose:  0.237 Skin Sensitization:  0.883
Carcinogencity:  0.246 Eye Corrosion:  0.001
Eye Irritation:  0.951 Respiratory Toxicity:  0.19
Drug-induced Neurotoxicity:  0.002 Ototoxicity:  0.61
Hematotoxicity:  0.082 Drug-induced Nephrotoxicity:  0.352
Genotoxicity:  0.993 RPMI-8226 Immunitoxicity:  0.049
A549 Cytotoxicity:  0.072 Hek293 Cytotoxicity:  0.249
BCF:   0.287
?
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:   3.071
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.283
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.497
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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
NPO26657 Conocephalum conicum Species Conocephalaceae Eukaryota n.a. n.a. n.a. PMID[33264011]
NPO26657 Conocephalum conicum Species Conocephalaceae Eukaryota n.a. n.a. n.a. Database[Article]
NPO26657 Conocephalum conicum Species Conocephalaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO26657 Conocephalum conicum Species Conocephalaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO26657 Conocephalum conicum Species Conocephalaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO26657 Conocephalum conicum Species Conocephalaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]

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 NPC18782 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
0.8514 High Similarity NPC608742
0.7895 Intermediate Similarity NPC282169
0.7662 Intermediate Similarity NPC20505
0.679 Remote Similarity NPC237435
0.6707 Remote Similarity NPC43211
0.6667 Remote Similarity NPC600989
0.6265 Remote Similarity NPC101191
0.619 Remote Similarity NPC210094
0.6118 Remote Similarity NPC115760
0.6 Remote Similarity NPC135277
0.587 Remote Similarity NPC46202
0.5833 Remote Similarity NPC253685
0.5647 Remote Similarity NPC95090
0.5647 Remote Similarity NPC27408
0.5581 Remote Similarity NPC181712
0.5579 Remote Similarity NPC229409
0.5568 Remote Similarity NPC610187
0.5532 Remote Similarity NPC64051
0.5393 Remote Similarity NPC264735
0.5281 Remote Similarity NPC235260
0.5281 Remote Similarity NPC155763
0.527 Remote Similarity NPC29353
0.5233 Remote Similarity NPC331652
0.5172 Remote Similarity NPC58053
0.5172 Remote Similarity NPC39360
0.5172 Remote Similarity NPC19709
0.5172 Remote Similarity NPC29763
0.5172 Remote Similarity NPC210003
0.5172 Remote Similarity NPC143851
0.5169 Remote Similarity NPC138927
0.5169 Remote Similarity NPC27942
0.5152 Remote Similarity NPC479765
0.5114 Remote Similarity NPC189142
0.5114 Remote Similarity NPC77660
0.5111 Remote Similarity NPC49344
0.5057 Remote Similarity NPC473043
0.5056 Remote Similarity NPC186807
0.5055 Remote Similarity NPC22832
0.5055 Remote Similarity NPC243930
0.5051 Remote Similarity NPC479766

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC18782 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
0.679 Remote Similarity NPD4338 Clinical (unspecified phase)

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