Natural Product: NPC483892

Natural Product IDNPC483892
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
OAFIUXWWQLBAIC-ZFOLFNLISA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID n.a.
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001283] Terpene lactones

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 OAFIUXWWQLBAIC-ZFOLFNLISA-N
Standard InCHI InChI=1S/C36H43NO17/c1-16-26-27(49-18(3)39)30(52-21(6)42)35(15-47-17(2)38)29(51-20(5)41)25(43)24-28(50-19(4)40)36(16,35)54-34(24,8)14-48-31(44)22-10-9-13-37-23(22)11-12-33(7,46)32(45)53-26/h9-10,13,16,24,26-30,46H,11-12,14-15H2,1-8H3/t16-,24-,26-,27+,28-,29-,30+,33?,34+,35-,36-/m0/s1
SMILES C[C@H]1[C@H]2[C@H]([C@H]([C@]3(COC(=O)C)[C@H](C(=O)[C@H]4[C@@H]([C@@]13O[C@]4(C)COC(=O)c1cccnc1CCC(C)(C(=O)O2)O)OC(=O)C)OC(=O)C)OC(=O)C)OC(=O)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   761.25 Volume:   719.859
?
Van der Waals volume.
Dense:   1.057 LogP:   0.159
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   0.677
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.22
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The logarithm of aqueous solubility value.
Rotatable Bonds:   11.0 Rigid Bonds:   38.0
TPSA:   243.52
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Topological Polar Surface Area.
H-Bond Acceptor:   18.0
H-Bond Donor:   1.0 Rings:   5.0
Heavy Atoms:   18.0

MedChem Properties

QED Drug-Likeness Score:   0.306 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   7.584 Fsp3:   0.639
MCE-18:   196.881
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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:   0.382 Fluc inhibitor:   0.002
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.004
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.038
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.014 Promiscuous compounds:   0.4

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.157 MDCK Permeability:   -4.664
Pgp-inhibitor:   0.745 Pgp-substrate:   0.225
PAMPA:   0.973
?
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):   0.0
20% Bioavailability (F20%):   0.004 30% Bioavailability (F30%):   0.075
50% Bioavailability (F50%):   0.721

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.002 MRP1:   1.0
Plasma Protein Binding (PPB):   43.603% Volume Distribution (VD):   -0.352
Fu: 48.916%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.994 BCRP inhibitor:   0.0
BSEP inhibitor:   0.896

ADMET: Metabolism

CYP1A2-inhibitor:   0.029 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.114 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.959
HLM stability:   0.074
?
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):  0.894 Half-life (T1/2):  1.549

ADMET: Toxicity

hERG Blockers:  0.001 hERG Blockers (10um):  0.021
Human Hepatotoxicity (H-HT):  0.654 Drug-induced Liver Injury (DILI):  0.97
AMES Toxicity:  0.994 Rat Oral Acute Toxicity:  0.628
Maximum Recommended Daily Dose:  0.716 Skin Sensitization:  1.0
Carcinogencity:  0.624 Eye Corrosion:  0.0
Eye Irritation:  0.021 Respiratory Toxicity:  0.113
Drug-induced Neurotoxicity:  0.184 Ototoxicity:  0.788
Hematotoxicity:  0.966 Drug-induced Nephrotoxicity:  0.997
Genotoxicity:  1.0 RPMI-8226 Immunitoxicity:  0.655
A549 Cytotoxicity:  0.207 Hek293 Cytotoxicity:  0.04
BCF:   0.47
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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:   3.043
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.654
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.266
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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
NPO40564 Maytenus oblongata Species Celastraceae Eukaryota n.a. n.a. n.a. PMID[28186749]

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
- Aedes aegypti LD50 > 10.0 uM PMID[28186749]

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 NPC483892 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
0.8723 High Similarity NPC483893
0.8333 Intermediate Similarity NPC483894
0.7019 Intermediate Similarity NPC253482
0.6698 Remote Similarity NPC475648
0.6634 Remote Similarity NPC146824
0.619 Remote Similarity NPC475362
0.6111 Remote Similarity NPC13603
0.6 Remote Similarity NPC473689
0.6 Remote Similarity NPC292416
0.6 Remote Similarity NPC600607
0.6 Remote Similarity NPC611166
0.5946 Remote Similarity NPC601643
0.5922 Remote Similarity NPC250807
0.5922 Remote Similarity NPC57797
0.5922 Remote Similarity NPC35208
0.5804 Remote Similarity NPC475406
0.5769 Remote Similarity NPC473850
0.5526 Remote Similarity NPC600583
0.5505 Remote Similarity NPC475601
0.5455 Remote Similarity NPC53255
0.5455 Remote Similarity NPC85879
0.5391 Remote Similarity NPC244839
0.5357 Remote Similarity NPC122968
0.5357 Remote Similarity NPC328186
0.5357 Remote Similarity NPC228377
0.5273 Remote Similarity NPC473833
0.5259 Remote Similarity NPC237702
0.5259 Remote Similarity NPC600546
0.5214 Remote Similarity NPC319880
0.5214 Remote Similarity NPC320324
0.5175 Remote Similarity NPC316841
0.5169 Remote Similarity NPC38959
0.5138 Remote Similarity NPC76565
0.5138 Remote Similarity NPC601313
0.5126 Remote Similarity NPC471979
0.5042 Remote Similarity NPC327904

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC483892 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