Natural Product: NPC482454

Natural Product IDNPC482454
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
AZEXNJIEBDRVJS-SPMDBHELSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 44575629
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 AZEXNJIEBDRVJS-SPMDBHELSA-N
Standard InCHI InChI=1S/C30H42O6/c1-6-7-8-9-10-11-12-13-24(32)36-29-16-20(3)30(35)22(25(29)27(29,4)5)15-21(18-31)17-28(34)23(30)14-19(2)26(28)33/h9-12,14-15,20,22-23,25,31,34-35H,6-8,13,16-18H2,1-5H3/b10-9+,12-11+/t20-,22-,23+,25+,28+,29-,30+/m0/s1
SMILES CCCC/C=C/C=C/CC(=O)O[C@@]12C[C@H](C)[C@]3([C@@H](C=C(C[C@]4([C@H]3C=C(C)C4=O)O)CO)[C@@H]1C2(C)C)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   498.3 Volume:   530.133
?
Van der Waals volume.
Dense:   0.94 LogP:   3.621
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.596
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.569
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The logarithm of aqueous solubility value.
Rotatable Bonds:   9.0 Rigid Bonds:   22.0
TPSA:   104.06
?
Topological Polar Surface Area.
H-Bond Acceptor:   6.0
H-Bond Donor:   3.0 Rings:   4.0
Heavy Atoms:   6.0

MedChem Properties

QED Drug-Likeness Score:   0.201 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.225 Fsp3:   0.667
MCE-18:   76.8
?
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:   0.415 Fluc inhibitor:   0.009
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.027
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.002
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.361 Promiscuous compounds:   0.642

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.129 MDCK Permeability:   -4.763
Pgp-inhibitor:   0.039 Pgp-substrate:   0.737
PAMPA:   0.689
?
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):   0.01
20% Bioavailability (F20%):   0.961 30% Bioavailability (F30%):   0.999
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.564
Plasma Protein Binding (PPB):   83.928% Volume Distribution (VD):   -0.193
Fu: 15.961%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.976
OATP1B3 inhibitor:   0.999 BCRP inhibitor:   0.027
BSEP inhibitor:   1.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.004
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.005
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.098
CYP3A4-inhibitor:   0.193 CYP3A4-substrate:   0.706
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.02
?
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):  3.358 Half-life (T1/2):  1.372

ADMET: Toxicity

hERG Blockers:  0.153 hERG Blockers (10um):  0.367
Human Hepatotoxicity (H-HT):  0.746 Drug-induced Liver Injury (DILI):  0.416
AMES Toxicity:  0.694 Rat Oral Acute Toxicity:  0.23
Maximum Recommended Daily Dose:  0.608 Skin Sensitization:  0.981
Carcinogencity:  0.305 Eye Corrosion:  0.004
Eye Irritation:  0.558 Respiratory Toxicity:  0.918
Drug-induced Neurotoxicity:  0.177 Ototoxicity:  0.727
Hematotoxicity:  0.655 Drug-induced Nephrotoxicity:  0.597
Genotoxicity:  0.243 RPMI-8226 Immunitoxicity:  0.136
A549 Cytotoxicity:  0.163 Hek293 Cytotoxicity:  0.389
BCF:   1.367
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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:   4.048
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.837
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.069
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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
NPO22608 Excoecaria agallocha Species Euphorbiaceae Eukaryota n.a. n.a. n.a. PMID[21190854]
NPO22608 Excoecaria agallocha Species Euphorbiaceae Eukaryota stems and twigs Beihai, Guangxi province, China 2008-Jan PMID[22196120]
NPO22608 Excoecaria agallocha Species Euphorbiaceae Eukaryota n.a. leaf n.a. PMID[7623051]
NPO22608 Excoecaria agallocha Species Euphorbiaceae Eukaryota n.a. twig n.a. PMID[7623051]
NPO22608 Excoecaria agallocha Species Euphorbiaceae Eukaryota n.a. n.a. n.a. PMID[7623051]
NPO22608 Excoecaria agallocha Species Euphorbiaceae Eukaryota n.a. bark n.a. PMID[7623051]
NPO22608 Excoecaria agallocha Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO22608 Excoecaria agallocha Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO22608 Excoecaria agallocha Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO22608 Excoecaria agallocha Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO22608 Excoecaria agallocha 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
NPT1284 Protein family Protein kinase C (PKC) Rattus norvegicus IC50 = 17.0 nM PMID[7623051]

In vitro activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference
NPT24 Organism Human immunodeficiency virus 1 Human immunodeficiency virus 1 IC50 = 6.0 nM PMID[7623051]

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 NPC482454 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
0.806 Intermediate Similarity NPC485732
0.7887 Intermediate Similarity NPC153651
0.7869 Intermediate Similarity NPC153036
0.7846 Intermediate Similarity NPC485736
0.7846 Intermediate Similarity NPC277477
0.7846 Intermediate Similarity NPC479003
0.7846 Intermediate Similarity NPC485735
0.7619 Intermediate Similarity NPC158523
0.7385 Intermediate Similarity NPC71889
0.7385 Intermediate Similarity NPC475937
0.6711 Remote Similarity NPC472760
0.6575 Remote Similarity NPC485731
0.6351 Remote Similarity NPC477091
0.6338 Remote Similarity NPC485733
0.6324 Remote Similarity NPC96739
0.6316 Remote Similarity NPC479000
0.6301 Remote Similarity NPC17138
0.6301 Remote Similarity NPC101825
0.6301 Remote Similarity NPC215643
0.6301 Remote Similarity NPC265499
0.6269 Remote Similarity NPC91189
0.6216 Remote Similarity NPC221511
0.6081 Remote Similarity NPC170212
0.6056 Remote Similarity NPC174471
0.5974 Remote Similarity NPC151216
0.5974 Remote Similarity NPC89227
0.5926 Remote Similarity NPC482199
0.5926 Remote Similarity NPC482197
0.589 Remote Similarity NPC474871
0.589 Remote Similarity NPC260786
0.5833 Remote Similarity NPC601392
0.5823 Remote Similarity NPC145238
0.5789 Remote Similarity NPC474872
0.5783 Remote Similarity NPC482198
0.5714 Remote Similarity NPC185876
0.5714 Remote Similarity NPC19336
0.5696 Remote Similarity NPC484333
0.5595 Remote Similarity NPC180640
0.5541 Remote Similarity NPC171905
0.5493 Remote Similarity NPC156252
0.5455 Remote Similarity NPC275696
0.5455 Remote Similarity NPC255081
0.5385 Remote Similarity NPC5991
0.5385 Remote Similarity NPC196500
0.5385 Remote Similarity NPC471108
0.5385 Remote Similarity NPC5989
0.5333 Remote Similarity NPC472397
0.5227 Remote Similarity NPC601559
0.5195 Remote Similarity NPC157252
0.5195 Remote Similarity NPC472758
0.5185 Remote Similarity NPC183540
0.5185 Remote Similarity NPC22628
0.5185 Remote Similarity NPC600005
0.5181 Remote Similarity NPC222307
0.5181 Remote Similarity NPC602538
0.5132 Remote Similarity NPC478681
0.5128 Remote Similarity NPC471125
0.5119 Remote Similarity NPC159692
0.5063 Remote Similarity NPC145182
0.5059 Remote Similarity NPC236999

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC482454 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