Natural Product: NPC482179

Natural Product IDNPC482179
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
MFSBCIXGQCVKQJ-ZUHYAFQTSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 90645367
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 MFSBCIXGQCVKQJ-ZUHYAFQTSA-N
Standard InCHI InChI=1S/C31H44O9/c1-14-11-31-26(38-19(6)33)15(2)12-30(31,40-31)25(34)17(4)23(39-27(35)29(9)13-16(29)3)20-21(28(20,7)8)24(36-10)22(14)37-18(5)32/h11,15-17,20-24,26H,12-13H2,1-10H3/b14-11+/t15-,16+,17+,20-,21+,22+,23-,24+,26-,29-,30-,31-/m0/s1
SMILES C/C/1=C[C@]23[C@H]([C@@H](C)C[C@@]2(C(=O)[C@H](C)[C@@H]([C@@H]2[C@H]([C@H]([C@@H]1OC(=O)C)OC)C2(C)C)OC(=O)[C@@]1(C)C[C@H]1C)O3)OC(=O)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   560.3 Volume:   567.879
?
Van der Waals volume.
Dense:   0.987 LogP:   2.872
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.883
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.444
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The logarithm of aqueous solubility value.
Rotatable Bonds:   8.0 Rigid Bonds:   26.0
TPSA:   117.73
?
Topological Polar Surface Area.
H-Bond Acceptor:   9.0
H-Bond Donor:   0.0 Rings:   5.0
Heavy Atoms:   9.0

MedChem Properties

QED Drug-Likeness Score:   0.214 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.098 Fsp3:   0.806
MCE-18:   103.964
?
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:   0.806 Fluc inhibitor:   0.0
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.005
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.0
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.335 Promiscuous compounds:   0.602

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.301 MDCK Permeability:   -4.956
Pgp-inhibitor:   1.0 Pgp-substrate:   0.401
PAMPA:   0.515
?
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):   0.026
20% Bioavailability (F20%):   0.876 30% Bioavailability (F30%):   0.88
50% Bioavailability (F50%):   0.994

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.997
Plasma Protein Binding (PPB):   82.544% Volume Distribution (VD):   0.057
Fu: 18.692%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.999
OATP1B3 inhibitor:   0.938 BCRP inhibitor:   0.013
BSEP inhibitor:   1.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.001 CYP1A2-substrate:   0.757
CYP2C19-inhibitor:   0.01 CYP2C19-substrate:   0.874
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.586
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.956
CYP3A4-inhibitor:   0.999 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.999
?
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):  9.219 Half-life (T1/2):  1.026

ADMET: Toxicity

hERG Blockers:  0.006 hERG Blockers (10um):  0.03
Human Hepatotoxicity (H-HT):  0.576 Drug-induced Liver Injury (DILI):  0.491
AMES Toxicity:  0.626 Rat Oral Acute Toxicity:  0.119
Maximum Recommended Daily Dose:  0.052 Skin Sensitization:  0.971
Carcinogencity:  0.737 Eye Corrosion:  0.004
Eye Irritation:  0.117 Respiratory Toxicity:  0.066
Drug-induced Neurotoxicity:  0.011 Ototoxicity:  0.616
Hematotoxicity:  0.835 Drug-induced Nephrotoxicity:  0.897
Genotoxicity:  0.904 RPMI-8226 Immunitoxicity:  0.112
A549 Cytotoxicity:  0.061 Hek293 Cytotoxicity:  0.162
BCF:   1.261
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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:   4.052
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.888
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.417
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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
NPO10031 Euphorbia antiquorum Species Euphorbiaceae Eukaryota n.a. n.a. n.a. PMID[11858748]
NPO10031 Euphorbia antiquorum Species Euphorbiaceae Eukaryota n.a. n.a. n.a. PMID[24840014]
NPO10031 Euphorbia antiquorum Species Euphorbiaceae Eukaryota Stems n.a. n.a. PMID[31180680]
NPO10031 Euphorbia antiquorum Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO10031 Euphorbia antiquorum Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO10031 Euphorbia antiquorum Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO10031 Euphorbia antiquorum 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
NPT178 Individual protein Protein-tyrosine phosphatase 1B Homo sapiens IC50 < 10000.0 nM PMID[24840014]

In vitro activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference
NPT116 Cell line HL-60 Homo sapiens IC50 < 10000.0 nM PMID[24840014]
NPT81 Cell line A549 Homo sapiens IC50 < 10000.0 nM PMID[24840014]

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 NPC482179 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
0.8814 High Similarity NPC482185
0.85 High Similarity NPC482184
0.7903 Intermediate Similarity NPC482178
0.7903 Intermediate Similarity NPC482177
0.7778 Intermediate Similarity NPC482192
0.7424 Intermediate Similarity NPC482180
0.7344 Intermediate Similarity NPC475277
0.7344 Intermediate Similarity NPC475495
0.7077 Intermediate Similarity NPC482193
0.6818 Remote Similarity NPC477093
0.6812 Remote Similarity NPC473522
0.6522 Remote Similarity NPC482176
0.6438 Remote Similarity NPC29922
0.6364 Remote Similarity NPC479266
0.6338 Remote Similarity NPC482174
0.6026 Remote Similarity NPC482402
0.6 Remote Similarity NPC477096
0.5949 Remote Similarity NPC482400
0.5775 Remote Similarity NPC81761
0.5625 Remote Similarity NPC482175
0.5584 Remote Similarity NPC477095
0.5556 Remote Similarity NPC482186
0.5556 Remote Similarity NPC482191
0.5556 Remote Similarity NPC189556
0.5556 Remote Similarity NPC477092
0.5432 Remote Similarity NPC477094
0.5135 Remote Similarity NPC29905
0.5135 Remote Similarity NPC482194
0.5135 Remote Similarity NPC482190
0.5114 Remote Similarity NPC482195

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC482179 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