Natural Product: NPC174471

Natural Product IDNPC174471
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
MTXOHECJOIIIJM-PHFLZNSYSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL486418
PubChem CID 3035003
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001551] Diterpenoids
          • [CHEMONTID:0002875] Tigliane and ingenane diterpenoids
            • [CHEMONTID:0002906] Phorbol esters

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 MTXOHECJOIIIJM-PHFLZNSYSA-N
Standard InCHI InChI=1S/C26H36O7/c1-13(2)22(29)33-25-10-15(4)26(31)18(20(25)23(25,6)7)9-17(12-32-16(5)27)11-24(30)19(26)8-14(3)21(24)28/h8-9,13,15,18-20,30-31H,10-12H2,1-7H3/t15-,18+,19-,20-,24-,25+,26-/m1/s1
SMILES CC(C)C(=O)O[C@@]12C[C@@H](C)[C@]3([C@@H](C=C(C[C@]4([C@H]3C=C(C)C4=O)O)COC(=O)C)[C@@H]1C2(C)C)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   460.25 Volume:   472.376
?
Van der Waals volume.
Dense:   0.974 LogP:   1.836
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.966
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.251
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   6.0 Rigid Bonds:   21.0
TPSA:   110.13
?
Topological Polar Surface Area.
H-Bond Acceptor:   7.0
H-Bond Donor:   2.0 Rings:   4.0
Heavy Atoms:   7.0

MedChem Properties

QED Drug-Likeness Score:   0.49 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.005 Fsp3:   0.731
MCE-18:   83.111
?
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:   0.196 Fluc inhibitor:   0.001
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.077
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.0
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.293 Promiscuous compounds:   0.289

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.36 MDCK Permeability:   -4.961
Pgp-inhibitor:   0.681 Pgp-substrate:   0.426
PAMPA:   0.93
?
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):   0.016
20% Bioavailability (F20%):   0.897 30% Bioavailability (F30%):   0.951
50% Bioavailability (F50%):   0.993

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.045 MRP1:   0.997
Plasma Protein Binding (PPB):   70.897% Volume Distribution (VD):   0.084
Fu: 36.394%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.996
OATP1B3 inhibitor:   0.921 BCRP inhibitor:   0.009
BSEP inhibitor:   0.999

ADMET: Metabolism

CYP1A2-inhibitor:   0.59 CYP1A2-substrate:   0.001
CYP2C19-inhibitor:   0.053 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.005 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.859
CYP3A4-inhibitor:   0.987 CYP3A4-substrate:   0.001
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.836
HLM stability:   0.898
?
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):  8.002 Half-life (T1/2):  0.765

ADMET: Toxicity

hERG Blockers:  0.042 hERG Blockers (10um):  0.25
Human Hepatotoxicity (H-HT):  0.546 Drug-induced Liver Injury (DILI):  0.678
AMES Toxicity:  0.74 Rat Oral Acute Toxicity:  0.399
Maximum Recommended Daily Dose:  0.343 Skin Sensitization:  0.909
Carcinogencity:  0.826 Eye Corrosion:  0.011
Eye Irritation:  0.575 Respiratory Toxicity:  0.387
Drug-induced Neurotoxicity:  0.235 Ototoxicity:  0.434
Hematotoxicity:  0.647 Drug-induced Nephrotoxicity:  0.774
Genotoxicity:  0.891 RPMI-8226 Immunitoxicity:  0.136
A549 Cytotoxicity:  0.122 Hek293 Cytotoxicity:  0.312
BCF:   0.738
?
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:   3.454
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.18
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.628
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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
NPO19062 Euphorbia coerulescens Species Euphorbiaceae Eukaryota latices South African n.a. PMID[3236005]
NPO25960 Euphorbia triangularis Species Euphorbiaceae Eukaryota latices South African n.a. PMID[3236005]
NPO32447 euphorbia ledienii Species Euphorbiaceae Eukaryota latices South African n.a. PMID[3236005]
NPO19878 Macrolobium bifolium Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO12355 Arthonia endlicheri Species Arthoniaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO19062 Euphorbia coerulescens Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO25960 Euphorbia triangularis Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO32447 euphorbia ledienii Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO20369 Uncaria canescens Species Rubiaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO20369 Uncaria canescens Species Rubiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO19062 Euphorbia coerulescens Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO25960 Euphorbia triangularis Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO12355 Arthonia endlicheri Species Arthoniaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO20369 Uncaria canescens Species Rubiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO19878 Macrolobium bifolium Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO22166 Biatora lucida Species Ramalinaceae 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
NPT32 Organism Mus musculus Mus musculus Activity = 1.5 nmol PMID[3236005]
NPT32 Organism Mus musculus Mus musculus Activity = 0.7 /nmol PMID[3236005]





 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 NPC174471 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
0.9107 High Similarity NPC96739
0.8983 High Similarity NPC260786
0.8361 Intermediate Similarity NPC474871
0.7692 Intermediate Similarity NPC170212
0.7541 Intermediate Similarity NPC158523
0.7424 Intermediate Similarity NPC17138
0.7424 Intermediate Similarity NPC101825
0.7424 Intermediate Similarity NPC215643
0.7424 Intermediate Similarity NPC265499
0.7313 Intermediate Similarity NPC221511
0.7206 Intermediate Similarity NPC475391
0.7183 Intermediate Similarity NPC602538
0.7143 Intermediate Similarity NPC479000
0.7 Intermediate Similarity NPC151216
0.7 Intermediate Similarity NPC89227
0.6935 Remote Similarity NPC153036
0.6935 Remote Similarity NPC91189
0.6769 Remote Similarity NPC475937
0.6761 Remote Similarity NPC474937
0.6761 Remote Similarity NPC183540
0.6486 Remote Similarity NPC222307
0.6479 Remote Similarity NPC482317
0.64 Remote Similarity NPC159692
0.6269 Remote Similarity NPC71889
0.6056 Remote Similarity NPC482454
0.6 Remote Similarity NPC485736
0.6 Remote Similarity NPC277477
0.6 Remote Similarity NPC482397
0.6 Remote Similarity NPC479003
0.6 Remote Similarity NPC485735
0.6 Remote Similarity NPC485733
0.6 Remote Similarity NPC482396
0.5676 Remote Similarity NPC474872
0.5634 Remote Similarity NPC478681
0.56 Remote Similarity NPC485731
0.56 Remote Similarity NPC485732
0.5375 Remote Similarity NPC153651
0.5275 Remote Similarity NPC102367
0.5275 Remote Similarity NPC478683
0.5217 Remote Similarity NPC478682
0.5205 Remote Similarity NPC472397
0.5195 Remote Similarity NPC477091
0.5185 Remote Similarity NPC472760
0.5125 Remote Similarity NPC257017

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC174471 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