Natural Product: NPC473082

Natural Product IDNPC473082
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
JDRNXTHXRJQQBJ-YBXHDGJPSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL3609586
PubChem CID n.a.
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001550] Sesquiterpenoids
          • [CHEMONTID:0002051] Agarofurans

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 JDRNXTHXRJQQBJ-YBXHDGJPSA-N
Standard InCHI InChI=1S/C32H44O7/c1-7-8-10-15-27(34)37-25-18-21(2)32-20-24(30(4,5)39-32)19-26(31(32,6)29(25)36-22(3)33)38-28(35)17-16-23-13-11-9-12-14-23/h9,11-14,16-17,21,24-26,29H,7-8,10,15,18-20H2,1-6H3/b17-16+/t21-,24-,25+,26+,29+,31-,32+/m1/s1
SMILES CCCCCC(=O)OC1CC(C23CC(CC(C2(C1OC(=O)C)C)OC(=O)C=CC4=CC=CC=C4)C(O3)(C)C)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   540.31 Volume:   570.879
?
Van der Waals volume.
Dense:   0.946 LogP:   5.216
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.076
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.429
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   12.0 Rigid Bonds:   24.0
TPSA:   88.13
?
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:   0.163 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.691 Fsp3:   0.656
MCE-18:   132.453
?
MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Accepted
Pfizer Rule:   Rejected GSK Rule:   Accepted
Golden Triangle Rule:   Accepted BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.947 Fluc inhibitor:   0.328
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.05
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.572
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.183 Promiscuous compounds:   0.008

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.88 MDCK Permeability:   -4.607
Pgp-inhibitor:   0.907 Pgp-substrate:   0.103
PAMPA:   0.207
?
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):   0.006
20% Bioavailability (F20%):   0.196 30% Bioavailability (F30%):   0.56
50% Bioavailability (F50%):   0.989

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.397 MRP1:   0.997
Plasma Protein Binding (PPB):   95.343% Volume Distribution (VD):   0.162
Fu: 3.878%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.117
OATP1B3 inhibitor:   0.621 BCRP inhibitor:   0.009
BSEP inhibitor:   1.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.978
CYP2C19-inhibitor:   0.256 CYP2C19-substrate:   0.138
CYP2C9-inhibitor:   0.362 CYP2C9-substrate:   0.04
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.015
CYP3A4-inhibitor:   0.002 CYP3A4-substrate:   0.25
CYP2B6-substrate:   0.001 CYP2C8-inhibitor:   1.0
HLM stability:   0.51
?
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):  2.585 Half-life (T1/2):  0.858

ADMET: Toxicity

hERG Blockers:  0.213 hERG Blockers (10um):  0.702
Human Hepatotoxicity (H-HT):  0.397 Drug-induced Liver Injury (DILI):  0.281
AMES Toxicity:  0.271 Rat Oral Acute Toxicity:  0.177
Maximum Recommended Daily Dose:  0.713 Skin Sensitization:  0.996
Carcinogencity:  0.198 Eye Corrosion:  0.004
Eye Irritation:  0.127 Respiratory Toxicity:  0.122
Drug-induced Neurotoxicity:  0.717 Ototoxicity:  0.659
Hematotoxicity:  0.037 Drug-induced Nephrotoxicity:  0.525
Genotoxicity:  0.002 RPMI-8226 Immunitoxicity:  0.086
A549 Cytotoxicity:  0.223 Hek293 Cytotoxicity:  0.518
BCF:   1.257
?
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:   4.472
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.09
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.709
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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
NPO11250 Celastrus flagellaris Species Celastraceae Eukaryota seeds Jilin, China n.a. PMID[26295746]
NPO11250 Celastrus flagellaris Species Celastraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO11250 Celastrus flagellaris Species Celastraceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO11250 Celastrus flagellaris Species Celastraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO11250 Celastrus flagellaris Species Celastraceae 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
NPT519 Cell line SH-SY5Y Homo sapiens Activity = 85.0 % DrugMatrix in vivo data: Hematology

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 NPC473082 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
0.8594 High Similarity NPC37641
0.8594 High Similarity NPC114927
0.75 Intermediate Similarity NPC214550
0.7297 Intermediate Similarity NPC473083
0.6857 Remote Similarity NPC84129
0.6757 Remote Similarity NPC473110
0.6528 Remote Similarity NPC473860
0.5976 Remote Similarity NPC473109
0.5921 Remote Similarity NPC475933
0.5789 Remote Similarity NPC70973
0.5789 Remote Similarity NPC473111
0.5333 Remote Similarity NPC481066
0.5325 Remote Similarity NPC473869
0.5294 Remote Similarity NPC483878
0.5244 Remote Similarity NPC488918
0.5244 Remote Similarity NPC488913
0.5119 Remote Similarity NPC473085
0.5057 Remote Similarity NPC25768

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC473082 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