Natural Product: NPC120387

Natural Product IDNPC120387
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
HHYWWQLZKXSUFQ-JDWSNWMQSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 6325067
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001551] Diterpenoids

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 HHYWWQLZKXSUFQ-JDWSNWMQSA-N
Standard InCHI InChI=1S/C24H34O8/c1-12-7-8-18(28)16(11-25)9-20(31-14(3)26)17-10-19(29)13(2)21(24(17,5)6)23(22(12)30)32-15(4)27/h7,9,17-20,23,25,28-29H,8,10-11H2,1-6H3/b12-7+,16-9+/t17-,18-,19-,20-,23+/m0/s1
SMILES C/C/1=CC[C@@H](/C(=C/[C@@H]([C@@H]2C[C@@H](C(=C([C@H](C1=O)OC(=O)C)C2(C)C)C)O)OC(=O)C)/CO)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   450.23 Volume:   461.05
?
Van der Waals volume.
Dense:   0.977 LogP:   0.351
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   0.834
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.167
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   5.0 Rigid Bonds:   19.0
TPSA:   130.36
?
Topological Polar Surface Area.
H-Bond Acceptor:   8.0
H-Bond Donor:   3.0 Rings:   2.0
Heavy Atoms:   8.0

MedChem Properties

QED Drug-Likeness Score:   0.438 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.845 Fsp3:   0.625
MCE-18:   50.615
?
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:   0 PAINS Alert:   0
Colloidal aggregators:   0.649 Fluc inhibitor:   0.001
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.046
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.005
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.46 Promiscuous compounds:   0.637

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.086 MDCK Permeability:   -4.784
Pgp-inhibitor:   0.168 Pgp-substrate:   0.988
PAMPA:   0.998
?
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):   0.629
20% Bioavailability (F20%):   1.0 30% Bioavailability (F30%):   1.0
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.94
Plasma Protein Binding (PPB):   58.618% Volume Distribution (VD):   -0.283
Fu: 39.346%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.995
OATP1B3 inhibitor:   0.829 BCRP inhibitor:   0.001
BSEP inhibitor:   0.14

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.001 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.001
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.007
CYP3A4-inhibitor:   0.013 CYP3A4-substrate:   0.277
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.494
HLM stability:   0.25
?
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):  8.028 Half-life (T1/2):  1.325

ADMET: Toxicity

hERG Blockers:  0.003 hERG Blockers (10um):  0.037
Human Hepatotoxicity (H-HT):  0.815 Drug-induced Liver Injury (DILI):  0.986
AMES Toxicity:  0.985 Rat Oral Acute Toxicity:  0.687
Maximum Recommended Daily Dose:  0.869 Skin Sensitization:  1.0
Carcinogencity:  0.89 Eye Corrosion:  0.0
Eye Irritation:  0.149 Respiratory Toxicity:  0.269
Drug-induced Neurotoxicity:  0.765 Ototoxicity:  0.436
Hematotoxicity:  0.967 Drug-induced Nephrotoxicity:  0.99
Genotoxicity:  1.0 RPMI-8226 Immunitoxicity:  0.533
A549 Cytotoxicity:  0.894 Hek293 Cytotoxicity:  0.627
BCF:   0.397
?
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:   2.895
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.573
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.876
?
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
NPO11132 Alangium longiflorum Species Cornaceae Eukaryota n.a. n.a. n.a. PMID[30106296]
NPO11819 Trichophyton megnini Species Arthrodermataceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO11132 Alangium longiflorum Species Cornaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO7785 Boletus fomentarius Species Boletaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO12272 Calceolaria petiolaris Species Calceolariaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO3362 Dictyostelium mucoroides Species n.a. Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO10084 Equisetum hyemale Species Equisetaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO563 Leucopaxillus cerealis Species Tricholomataceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO21703 Maianthemum atropurpureum Species Asparagaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO27451 Ophiocordyceps sinensis Species Ophiocordycipitaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO10953 Papaver strigosum Species Papaveraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO11936 Ptilocaulis walpersi Species Axinellidae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO22296 Rheum tataricum Species Polygonaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO10487 Rosa americana Species Rosaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO15125.1 Taxus wallichiana var. chinensis Varieties Taxaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO15125.1 Taxus wallichiana var. chinensis Varieties Taxaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO10084 Equisetum hyemale Species Equisetaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO27451 Ophiocordyceps sinensis Species Ophiocordycipitaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO27451 Ophiocordyceps sinensis Species Ophiocordycipitaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO10084 Equisetum hyemale Species Equisetaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO22296 Rheum tataricum Species Polygonaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO27451 Ophiocordyceps sinensis Species Ophiocordycipitaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO10953 Papaver strigosum Species Papaveraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO10487 Rosa americana Species Rosaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO11132 Alangium longiflorum Species Cornaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO563 Leucopaxillus cerealis Species Tricholomataceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO3362 Dictyostelium mucoroides Species n.a. Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO11936 Ptilocaulis walpersi Species Axinellidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO12615 Athrotaxis selaginoides Species Cupressaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO21703 Maianthemum atropurpureum Species Asparagaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO12272 Calceolaria petiolaris Species Calceolariaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO7785 Boletus fomentarius Species Boletaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO11819 Trichophyton megnini Species Arthrodermataceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO10084 Equisetum hyemale Species Equisetaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO15125.1 Taxus wallichiana var. chinensis Varieties Taxaceae 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 NPC120387 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
NPC

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC120387 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