Natural Product: NPC134451

Natural Product IDNPC134451
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
PHKSUFCCGLWIMC-SIKIZQCASA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 12310372
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001551] Diterpenoids
          • [CHEMONTID:0001757] Colensane and clerodane 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 PHKSUFCCGLWIMC-SIKIZQCASA-N
Standard InCHI InChI=1S/C20H28O4/c1-14-6-10-20(13-21)16(18(22)23)4-3-5-17(20)19(14,2)9-7-15-8-11-24-12-15/h4,8,11-12,14,17,21H,3,5-7,9-10,13H2,1-2H3,(H,22,23)/p-1/t14-,17-,19+,20-/m1/s1
SMILES C[C@@H]1CC[C@@]2(CO)C(=CCC[C@@H]2[C@@]1(C)CCc1ccoc1)C(=O)[O-]

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   332.2 Volume:   353.422
?
Van der Waals volume.
Dense:   0.94 LogP:   2.615
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.255
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.363
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   5.0 Rigid Bonds:   17.0
TPSA:   70.67
?
Topological Polar Surface Area.
H-Bond Acceptor:   4.0
H-Bond Donor:   2.0 Rings:   3.0
Heavy Atoms:   4.0

MedChem Properties

QED Drug-Likeness Score:   0.853 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.355 Fsp3:   0.65
MCE-18:   69.697
?
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:   Rejected
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.044 Fluc inhibitor:   0.03
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.019
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.007
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.171 Promiscuous compounds:   0.061

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.339 MDCK Permeability:   -4.923
Pgp-inhibitor:   0.002 Pgp-substrate:   0.114
PAMPA:   0.987
?
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):   0.236
20% Bioavailability (F20%):   0.813 30% Bioavailability (F30%):   0.667
50% Bioavailability (F50%):   0.872

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.085 MRP1:   0.886
Plasma Protein Binding (PPB):   86.715% Volume Distribution (VD):   -0.711
Fu: 10.946%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.771
OATP1B3 inhibitor:   0.332 BCRP inhibitor:   0.248
BSEP inhibitor:   0.344

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.009 CYP2C19-substrate:   0.014
CYP2C9-inhibitor:   0.003 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.024
CYP3A4-inhibitor:   0.997 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.007
?
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):  3.226 Half-life (T1/2):  1.182

ADMET: Toxicity

hERG Blockers:  0.185 hERG Blockers (10um):  0.159
Human Hepatotoxicity (H-HT):  0.476 Drug-induced Liver Injury (DILI):  0.642
AMES Toxicity:  0.286 Rat Oral Acute Toxicity:  0.571
Maximum Recommended Daily Dose:  0.64 Skin Sensitization:  0.452
Carcinogencity:  0.517 Eye Corrosion:  0.004
Eye Irritation:  0.829 Respiratory Toxicity:  0.714
Drug-induced Neurotoxicity:  0.061 Ototoxicity:  0.621
Hematotoxicity:  0.288 Drug-induced Nephrotoxicity:  0.518
Genotoxicity:  0.778 RPMI-8226 Immunitoxicity:  0.029
A549 Cytotoxicity:  0.052 Hek293 Cytotoxicity:  0.115
BCF:   0.566
?
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:   3.462
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.977
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.077
?
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
NPO19190 Garcinia vieillardii Species Clusiaceae Eukaryota n.a. n.a. n.a. PMID[15104511]
NPO19190 Garcinia vieillardii Species Clusiaceae Eukaryota n.a. stem n.a. PMID[15104511]
NPO19190 Garcinia vieillardii Species Clusiaceae Eukaryota n.a. stem n.a. PMID[17826924]
NPO17039 Pharbitis nil Species Convolvulaceae Eukaryota Seeds n.a. n.a. PMID[19435339]
NPO12477 Dodonaea viscosa Species Sapindaceae Eukaryota n.a. n.a. n.a. PMID[19719093]
NPO12477 Dodonaea viscosa Species Sapindaceae Eukaryota n.a. n.a. n.a. PMID[22512738]
NPO19058 Loranthus europaeus Species Loranthaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO12477 Dodonaea viscosa Species Sapindaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO14841 Streptomyces variabilis Species Streptomycetaceae Bacteria n.a. n.a. n.a. Database[COCONUT]
NPO19190 Garcinia vieillardii Species Clusiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO14174 Frankenia pulverulenta Species Frankeniaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO13525 Erythraea centaurium n.a. n.a. n.a. n.a. n.a. n.a. Database[COCONUT]
NPO15950 Acacia baileyana Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO27734 Verbesina coahuilensis Species Asteraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO12477 Dodonaea viscosa Species Sapindaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO17832 Ocotea bullata Species Lauraceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO17832 Ocotea bullata Species Lauraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO14356 Acronychia vestita Species Rutaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO17039 Pharbitis nil Species Convolvulaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO12477 Dodonaea viscosa Species Sapindaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO14356 Acronychia vestita Species Rutaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO12477 Dodonaea viscosa Species Sapindaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO17039 Pharbitis nil Species Convolvulaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO15950 Acacia baileyana Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO23335 Caroxylon imbricatum Species Chenopodiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO14356 Acronychia vestita Species Rutaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO13133 Brickellia brasiliensis Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO18633 Berberis guimpelii Species Berberidaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO12477 Dodonaea viscosa Species Sapindaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO17039 Pharbitis nil Species Convolvulaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO14174 Frankenia pulverulenta Species Frankeniaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO19190 Garcinia vieillardii Species Clusiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO6967 Bersama engleriana Species Melianthaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO1316 Vernonia monocephala Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO18794 Diplostephium floribundum Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO13525 Erythraea centaurium n.a. n.a. n.a. n.a. n.a. n.a. Database[UNPD]
NPO14841 Streptomyces variabilis Species Streptomycetaceae Bacteria n.a. n.a. n.a. Database[UNPD]
NPO27734 Verbesina coahuilensis Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO680 Citrus lumia Species Rutaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO16577 Padina vickersiae Species Dictyotaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO19058 Loranthus europaeus Species Loranthaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO17832 Ocotea bullata Species Lauraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO13964 Tetradenia barberae Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9093 Selenastrum capricornutum Species Selenastraceae 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 NPC134451 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
0.7759 Intermediate Similarity NPC112706
0.625 Remote Similarity NPC207294
0.6032 Remote Similarity NPC23086
0.5312 Remote Similarity NPC476947
0.5217 Remote Similarity NPC289537

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC134451 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