Natural Product: NPC472728

Natural Product IDNPC472728
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
IDXNDMRSSYBBIJ-WGCTUJHDSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL3581912
PubChem CID n.a.
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001549] Monoterpenoids

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 IDXNDMRSSYBBIJ-WGCTUJHDSA-N
Standard InCHI InChI=1S/C32H48O5/c1-11-21(6)25(33)32-27-23(17-24(37-27)29(7,8)36)26(34)30(9,28(32)35)18-22(15-14-20(4)5)31(32,10)16-12-13-19(2)3/h13-14,21-22,24,36H,11-12,15-18H2,1-10H3/t21-,22-,24-,30+,31+,32-/m0/s1
SMILES CCC(C)C(=O)C12C3=C(CC(O3)C(C)(C)O)C(=O)C(C1=O)(CC(C2(C)CCC=C(C)C)CC=C(C)C)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   512.35 Volume:   564.491
?
Van der Waals volume.
Dense:   0.908 LogP:   5.861
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.558
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.911
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The logarithm of aqueous solubility value.
Rotatable Bonds:   9.0 Rigid Bonds:   19.0
TPSA:   80.67
?
Topological Polar Surface Area.
H-Bond Acceptor:   5.0
H-Bond Donor:   1.0 Rings:   3.0
Heavy Atoms:   5.0

MedChem Properties

QED Drug-Likeness Score:   0.275 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.037 Fsp3:   0.719
MCE-18:   69.891
?
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:   0.515 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.047
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.485
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.479 Promiscuous compounds:   0.036

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.76 MDCK Permeability:   -4.687
Pgp-inhibitor:   0.173 Pgp-substrate:   0.0
PAMPA:   0.573
?
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%):   0.0 30% Bioavailability (F30%):   0.0
50% Bioavailability (F50%):   0.001

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.187 MRP1:   0.968
Plasma Protein Binding (PPB):   86.769% Volume Distribution (VD):   0.004
Fu: 9.537%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.72
OATP1B3 inhibitor:   0.983 BCRP inhibitor:   0.0
BSEP inhibitor:   0.996

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.263
CYP2C19-inhibitor:   1.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.001 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.983
CYP3A4-inhibitor:   0.995 CYP3A4-substrate:   0.478
CYP2B6-substrate:   0.151 CYP2C8-inhibitor:   0.935
HLM stability:   0.953
?
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):  6.593 Half-life (T1/2):  0.663

ADMET: Toxicity

hERG Blockers:  0.029 hERG Blockers (10um):  0.213
Human Hepatotoxicity (H-HT):  0.667 Drug-induced Liver Injury (DILI):  0.081
AMES Toxicity:  0.236 Rat Oral Acute Toxicity:  0.189
Maximum Recommended Daily Dose:  0.146 Skin Sensitization:  0.901
Carcinogencity:  0.708 Eye Corrosion:  0.001
Eye Irritation:  0.036 Respiratory Toxicity:  0.368
Drug-induced Neurotoxicity:  0.129 Ototoxicity:  0.669
Hematotoxicity:  0.548 Drug-induced Nephrotoxicity:  0.829
Genotoxicity:  0.745 RPMI-8226 Immunitoxicity:  0.034
A549 Cytotoxicity:  0.031 Hek293 Cytotoxicity:  0.096
BCF:   2.021
?
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:   4.841
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.471
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.993
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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
NPO32997 Hypericum monogynum Species Hypericaceae Eukaryota Flowers n.a. n.a. PMID[25924023]
NPO32997 Hypericum monogynum Species Hypericaceae Eukaryota n.a. n.a. n.a. PMID[27525351]

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
NPT113 Cell line RAW264.7 Mus musculus IC50 = 23700.0 nM PMID[18558669]
NPT65 Cell line HepG2 Homo sapiens Inhibition = 15.03 % PMID[28958618]

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 NPC472728 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 NPC472727
0.8947 High Similarity NPC472729
0.8947 High Similarity NPC472730
0.7869 Intermediate Similarity NPC483068
0.746 Intermediate Similarity NPC483080
0.7188 Intermediate Similarity NPC472732
0.7188 Intermediate Similarity NPC472731
0.6984 Remote Similarity NPC483067
0.6615 Remote Similarity NPC472733
0.6615 Remote Similarity NPC472734
0.6389 Remote Similarity NPC482995
0.6232 Remote Similarity NPC472675
0.6143 Remote Similarity NPC471330
0.6143 Remote Similarity NPC472687
0.5946 Remote Similarity NPC482993
0.5789 Remote Similarity NPC47466
0.5789 Remote Similarity NPC116274
0.5753 Remote Similarity NPC483052
0.5753 Remote Similarity NPC483051
0.5676 Remote Similarity NPC483055
0.5676 Remote Similarity NPC483056
0.5634 Remote Similarity NPC483076
0.5634 Remote Similarity NPC471331
0.5634 Remote Similarity NPC99657
0.5634 Remote Similarity NPC483078
0.5634 Remote Similarity NPC203388
0.5571 Remote Similarity NPC483058
0.5493 Remote Similarity NPC21681
0.5479 Remote Similarity NPC483060
0.5316 Remote Similarity NPC471333
0.5316 Remote Similarity NPC471332
0.5263 Remote Similarity NPC483061
0.5263 Remote Similarity NPC483062
0.5143 Remote Similarity NPC177680
0.5143 Remote Similarity NPC153776
0.5135 Remote Similarity NPC483054
0.5135 Remote Similarity NPC483053
0.5125 Remote Similarity NPC146239
0.5125 Remote Similarity NPC483095

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC472728 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