Natural Product: NPC143073

Natural Product IDNPC143073
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
JPYYWXPAHJBKJX-OBGWFSINSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 9936579
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 JPYYWXPAHJBKJX-OBGWFSINSA-N
Standard InCHI InChI=1S/C31H38O7/c1-17-13-14-23-24(30(23,6)7)15-18(2)28(34)31(38-21(5)33)16-19(3)27(25(31)26(17)36-20(4)32)37-29(35)22-11-9-8-10-12-22/h8-12,15,19,23-27H,1,13-14,16H2,2-7H3/b18-15+
SMILES C=C1CCC2C(/C=C(C)/C(=O)C3(CC(C)C(C3C1OC(=O)C)OC(=O)c1ccccc1)OC(=O)C)C2(C)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   522.26 Volume:   548.31
?
Van der Waals volume.
Dense:   0.952 LogP:   4.345
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.796
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.238
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   7.0 Rigid Bonds:   28.0
TPSA:   95.97
?
Topological Polar Surface Area.
H-Bond Acceptor:   7.0
H-Bond Donor:   0.0 Rings:   4.0
Heavy Atoms:   7.0

MedChem Properties

QED Drug-Likeness Score:   0.303 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.151 Fsp3:   0.548
MCE-18:   107.208
?
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:   Accepted BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.383 Fluc inhibitor:   0.001
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.011
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.363
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.193 Promiscuous compounds:   0.016

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.797 MDCK Permeability:   -4.548
Pgp-inhibitor:   0.924 Pgp-substrate:   0.016
PAMPA:   0.119
?
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):   0.001
20% Bioavailability (F20%):   0.008 30% Bioavailability (F30%):   0.085
50% Bioavailability (F50%):   0.843

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.6 MRP1:   0.999
Plasma Protein Binding (PPB):   96.459% Volume Distribution (VD):   0.033
Fu: 2.934%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.514
OATP1B3 inhibitor:   0.979 BCRP inhibitor:   0.007
BSEP inhibitor:   0.985

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.05
CYP2C19-inhibitor:   0.55 CYP2C19-substrate:   0.01
CYP2C9-inhibitor:   0.003 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.023
CYP3A4-inhibitor:   0.706 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.082 CYP2C8-inhibitor:   0.999
HLM stability:   0.995
?
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):  5.786 Half-life (T1/2):  0.362

ADMET: Toxicity

hERG Blockers:  0.027 hERG Blockers (10um):  0.378
Human Hepatotoxicity (H-HT):  0.473 Drug-induced Liver Injury (DILI):  0.902
AMES Toxicity:  0.237 Rat Oral Acute Toxicity:  0.154
Maximum Recommended Daily Dose:  0.823 Skin Sensitization:  0.679
Carcinogencity:  0.527 Eye Corrosion:  0.0
Eye Irritation:  0.039 Respiratory Toxicity:  0.031
Drug-induced Neurotoxicity:  0.774 Ototoxicity:  0.64
Hematotoxicity:  0.071 Drug-induced Nephrotoxicity:  0.378
Genotoxicity:  0.92 RPMI-8226 Immunitoxicity:  0.109
A549 Cytotoxicity:  0.152 Hek293 Cytotoxicity:  0.615
BCF:   1.498
?
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:   4.656
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.565
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   6.164
?
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
NPO520 Euphorbia lathyris Species Euphorbiaceae Eukaryota n.a. n.a. n.a. PMID[12542364]
NPO520 Euphorbia lathyris Species Euphorbiaceae Eukaryota n.a. n.a. n.a. PMID[30817151]
NPO520 Euphorbia lathyris Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO520 Euphorbia lathyris Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO520 Euphorbia lathyris Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO520 Euphorbia lathyris Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO520 Euphorbia lathyris Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO520 Euphorbia lathyris 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

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 NPC143073 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 NPC42234
0.7808 Intermediate Similarity NPC482351
0.7778 Intermediate Similarity NPC276652
0.7568 Intermediate Similarity NPC482347
0.7467 Intermediate Similarity NPC105222
0.7333 Intermediate Similarity NPC270364
0.7333 Intermediate Similarity NPC118799
0.7231 Intermediate Similarity NPC37784
0.6829 Remote Similarity NPC482353
0.6375 Remote Similarity NPC482346
0.6282 Remote Similarity NPC610855
0.5802 Remote Similarity NPC482300
0.5802 Remote Similarity NPC482315
0.5679 Remote Similarity NPC482308
0.5542 Remote Similarity NPC3450
0.5542 Remote Similarity NPC475262
0.5542 Remote Similarity NPC482304
0.5542 Remote Similarity NPC482354
0.5542 Remote Similarity NPC122504
0.5422 Remote Similarity NPC86772
0.5412 Remote Similarity NPC482345
0.5412 Remote Similarity NPC482310
0.5412 Remote Similarity NPC482302
0.5301 Remote Similarity NPC482352
0.5301 Remote Similarity NPC243595
0.5294 Remote Similarity NPC482355
0.5278 Remote Similarity NPC202824
0.5233 Remote Similarity NPC8990
0.5176 Remote Similarity NPC265459
0.5176 Remote Similarity NPC482265
0.5172 Remote Similarity NPC482349
0.5119 Remote Similarity NPC472250
0.5119 Remote Similarity NPC482307
0.5116 Remote Similarity NPC601593
0.5059 Remote Similarity NPC482314

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC143073 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