Natural Product: NPC472730

Natural Product IDNPC472730
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
WSKJZPUOPKLDDO-PBZDJEQUSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL3581914
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 WSKJZPUOPKLDDO-PBZDJEQUSA-N
Standard InCHI InChI=1S/C31H46O5/c1-18(2)12-11-15-30(10)21(14-13-19(3)4)17-29(9)25(33)22-16-23(28(7,8)35)36-26(22)31(30,27(29)34)24(32)20(5)6/h12-13,20-21,23,35H,11,14-17H2,1-10H3/t21-,23-,29+,30+,31-/m0/s1
SMILES CC(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:   498.33 Volume:   547.195
?
Van der Waals volume.
Dense:   0.911 LogP:   5.421
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.348
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.517
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   8.0 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:   0.314 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.906 Fsp3:   0.71
MCE-18:   70.189
?
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:   Accepted
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   1 PAINS Alert:   0
Colloidal aggregators:   0.355 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.074
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.457
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.425 Promiscuous compounds:   0.013

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.754 MDCK Permeability:   -4.724
Pgp-inhibitor:   0.733 Pgp-substrate:   0.0
PAMPA:   0.384
?
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%):   0.003

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.001 MRP1:   0.996
Plasma Protein Binding (PPB):   83.091% Volume Distribution (VD):   0.098
Fu: 16.881%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.988
OATP1B3 inhibitor:   0.996 BCRP inhibitor:   0.0
BSEP inhibitor:   1.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.227
CYP2C19-inhibitor:   1.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.006 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.993
CYP3A4-inhibitor:   0.998 CYP3A4-substrate:   0.94
CYP2B6-substrate:   0.211 CYP2C8-inhibitor:   0.947
HLM stability:   0.863
?
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):  7.503 Half-life (T1/2):  0.543

ADMET: Toxicity

hERG Blockers:  0.025 hERG Blockers (10um):  0.197
Human Hepatotoxicity (H-HT):  0.673 Drug-induced Liver Injury (DILI):  0.109
AMES Toxicity:  0.24 Rat Oral Acute Toxicity:  0.191
Maximum Recommended Daily Dose:  0.132 Skin Sensitization:  0.916
Carcinogencity:  0.706 Eye Corrosion:  0.001
Eye Irritation:  0.044 Respiratory Toxicity:  0.374
Drug-induced Neurotoxicity:  0.109 Ototoxicity:  0.717
Hematotoxicity:  0.584 Drug-induced Nephrotoxicity:  0.878
Genotoxicity:  0.827 RPMI-8226 Immunitoxicity:  0.031
A549 Cytotoxicity:  0.023 Hek293 Cytotoxicity:  0.08
BCF:   2.032
?
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:   4.809
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.425
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.949
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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 > 50000.0 nM PMID[23268606]

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 NPC472730 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 NPC472729
0.8947 High Similarity NPC472728
0.8947 High Similarity NPC472727
0.8305 Intermediate Similarity NPC483080
0.7797 Intermediate Similarity NPC483067
0.7097 Intermediate Similarity NPC472733
0.7097 Intermediate Similarity NPC472734
0.6984 Remote Similarity NPC483068
0.6615 Remote Similarity NPC472732
0.6615 Remote Similarity NPC472731
0.6571 Remote Similarity NPC482995
0.6377 Remote Similarity NPC483052
0.6377 Remote Similarity NPC483051
0.6286 Remote Similarity NPC483055
0.6286 Remote Similarity NPC483056
0.6119 Remote Similarity NPC21681
0.6111 Remote Similarity NPC482993
0.6029 Remote Similarity NPC483076
0.6029 Remote Similarity NPC471331
0.6029 Remote Similarity NPC99657
0.6029 Remote Similarity NPC483078
0.6029 Remote Similarity NPC203388
0.5946 Remote Similarity NPC47466
0.5946 Remote Similarity NPC116274
0.5857 Remote Similarity NPC483060
0.5735 Remote Similarity NPC483058
0.5714 Remote Similarity NPC483054
0.5714 Remote Similarity NPC483053
0.5658 Remote Similarity NPC471333
0.5658 Remote Similarity NPC471332
0.5634 Remote Similarity NPC471330
0.5634 Remote Similarity NPC472687
0.5616 Remote Similarity NPC483061
0.5616 Remote Similarity NPC483062
0.5522 Remote Similarity NPC177680
0.5522 Remote Similarity NPC153776
0.5493 Remote Similarity NPC472675
0.5352 Remote Similarity NPC483091
0.5278 Remote Similarity NPC123887
0.5256 Remote Similarity NPC146239
0.5256 Remote Similarity NPC483095
0.5205 Remote Similarity NPC483059
0.5135 Remote Similarity NPC483101
0.5135 Remote Similarity NPC483100
0.5132 Remote Similarity NPC482999
0.5128 Remote Similarity NPC483079
0.5068 Remote Similarity NPC483064
0.5068 Remote Similarity NPC483063
0.5067 Remote Similarity NPC483057

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC472730 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