Natural Product: NPC471035

Natural Product IDNPC471035
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
WQBNGXOJBVBQKP-JKAPWZSASA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL2337572
PubChem CID 5459043
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001551] Diterpenoids
          • [CHEMONTID:0003782] Kaurane 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 WQBNGXOJBVBQKP-JKAPWZSASA-N
Standard InCHI InChI=1S/C20H28O3/c1-12-13-5-6-15-18(2)8-4-9-19(3,17(22)23)14(18)7-10-20(15,11-13)16(12)21/h13-15H,1,4-11H2,2-3H3,(H,22,23)/t13-,14-,15-,18+,19-,20+/m0/s1
SMILES CC12CCCC(C1CCC34C2CCC(C3)C(=C)C4=O)(C)C(=O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   316.2 Volume:   338.712
?
Van der Waals volume.
Dense:   0.934 LogP:   2.898
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.838
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.837
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   1.0 Rigid Bonds:   22.0
TPSA:   54.37
?
Topological Polar Surface Area.
H-Bond Acceptor:   3.0
H-Bond Donor:   1.0 Rings:   4.0
Heavy Atoms:   3.0

MedChem Properties

QED Drug-Likeness Score:   0.737 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.466 Fsp3:   0.8
MCE-18:   102.0
?
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:   1
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.033 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.008
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.085
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.683 Promiscuous compounds:   0.004

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.904 MDCK Permeability:   -4.754
Pgp-inhibitor:   0.025 Pgp-substrate:   0.0
PAMPA:   0.65
?
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):   0.029
20% Bioavailability (F20%):   0.0 30% Bioavailability (F30%):   0.007
50% Bioavailability (F50%):   0.069

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.071 MRP1:   0.978
Plasma Protein Binding (PPB):   97.812% Volume Distribution (VD):   -0.44
Fu: 2.591%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.193
OATP1B3 inhibitor:   0.993 BCRP inhibitor:   0.0
BSEP inhibitor:   0.883

ADMET: Metabolism

CYP1A2-inhibitor:   0.169 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.771 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.925 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.708 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.962 CYP2C8-inhibitor:   0.043
HLM stability:   0.083
?
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):  1.943 Half-life (T1/2):  1.383

ADMET: Toxicity

hERG Blockers:  0.05 hERG Blockers (10um):  0.18
Human Hepatotoxicity (H-HT):  0.659 Drug-induced Liver Injury (DILI):  0.335
AMES Toxicity:  0.105 Rat Oral Acute Toxicity:  0.233
Maximum Recommended Daily Dose:  0.726 Skin Sensitization:  0.328
Carcinogencity:  0.404 Eye Corrosion:  0.006
Eye Irritation:  0.389 Respiratory Toxicity:  0.739
Drug-induced Neurotoxicity:  0.12 Ototoxicity:  0.854
Hematotoxicity:  0.2 Drug-induced Nephrotoxicity:  0.121
Genotoxicity:  0.032 RPMI-8226 Immunitoxicity:  0.024
A549 Cytotoxicity:  0.038 Hek293 Cytotoxicity:  0.261
BCF:   1.103
?
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:   4.187
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.589
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.062
?
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
NPO22879 Croton tonkinensis Species Euphorbiaceae Eukaryota n.a. n.a. n.a. PMID[14510600]
NPO22879 Croton tonkinensis Species Euphorbiaceae Eukaryota n.a. n.a. n.a. PMID[18161942]
NPO22879 Croton tonkinensis Species Euphorbiaceae Eukaryota n.a. Vietnamese n.a. PMID[19899773]
NPO22879 Croton tonkinensis Species Euphorbiaceae Eukaryota n.a. n.a. n.a. PMID[22085418]
NPO22879 Croton tonkinensis Species Euphorbiaceae Eukaryota n.a. leaf n.a. PMID[22085418]
NPO22879 Croton tonkinensis Species Euphorbiaceae Eukaryota n.a. n.a. n.a. PMID[22197145]
NPO22879 Croton tonkinensis Species Euphorbiaceae Eukaryota whole plants Vietnam 2009-Aug PMID[23347584]
NPO22879 Croton tonkinensis Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO22879 Croton tonkinensis Species Euphorbiaceae 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
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. IC50 = 5560.0 nM PMID[23347584]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. IC50 = 3270.0 nM PMID[23347584]

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 NPC471035 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 NPC212661
0.6786 Remote Similarity NPC211403
0.6167 Remote Similarity NPC475118
0.6038 Remote Similarity NPC330659
0.6038 Remote Similarity NPC244708
0.6038 Remote Similarity NPC161187
0.5818 Remote Similarity NPC170985
0.5614 Remote Similarity NPC600598
0.5556 Remote Similarity NPC488959
0.5556 Remote Similarity NPC106078
0.55 Remote Similarity NPC472505
0.5345 Remote Similarity NPC472309
0.5254 Remote Similarity NPC215893
0.5185 Remote Similarity NPC130459
0.5185 Remote Similarity NPC474221
0.5185 Remote Similarity NPC605656
0.5167 Remote Similarity NPC472310
0.5167 Remote Similarity NPC472311
0.5088 Remote Similarity NPC99154
0.5088 Remote Similarity NPC201027
0.5088 Remote Similarity NPC268736
0.5088 Remote Similarity NPC252032
0.5088 Remote Similarity NPC319671
0.5088 Remote Similarity NPC477931
0.5088 Remote Similarity NPC476734
0.5085 Remote Similarity NPC180199
0.5085 Remote Similarity NPC471475
0.5085 Remote Similarity NPC477919
0.5077 Remote Similarity NPC257942

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC471035 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
0.5263 Remote Similarity NPD4224 Phase 2

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