Natural Product: NPC487490

Natural Product IDNPC487490
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
XKJHRTCECPCUQH-ILGBDSNMSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 132606913
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001553] Triterpenoids

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 XKJHRTCECPCUQH-ILGBDSNMSA-N
Standard InCHI InChI=1S/C39H54O8/c1-22(2)24-13-16-38(34(45)46)17-18-39(21-40)25(32(24)38)9-11-30-36(5)20-28(33(44)35(3,4)29(36)14-15-37(30,39)6)47-31(43)12-8-23-7-10-26(41)27(42)19-23/h7-8,10,12,19,24-25,28-30,32-33,40-42,44H,1,9,11,13-18,20-21H2,2-6H3,(H,45,46)/b12-8+/t24-,25+,28+,29-,30+,32+,33-,36-,37+,38-,39-/m0/s1
SMILES C=C(C)[C@@H]1CC[C@@]2(CC[C@]3(CO)[C@H](CC[C@@H]4[C@@]5(C)C[C@H]([C@@H](C(C)(C)[C@@H]5CC[C@@]34C)O)OC(=O)/C=C/c3ccc(c(c3)O)O)[C@@H]12)C(=O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   650.38 Volume:   683.628
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Van der Waals volume.
Dense:   0.951 LogP:   3.527
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.238
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.991
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The logarithm of aqueous solubility value.
Rotatable Bonds:   7.0 Rigid Bonds:   35.0
TPSA:   144.52
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Topological Polar Surface Area.
H-Bond Acceptor:   8.0
H-Bond Donor:   5.0 Rings:   6.0
Heavy Atoms:   8.0

MedChem Properties

QED Drug-Likeness Score:   0.099 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.313 Fsp3:   0.692
MCE-18:   167.273
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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:   1 PAINS Alert:   1
Colloidal aggregators:   0.9 Fluc inhibitor:   0.765
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.031
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.001
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.104 Promiscuous compounds:   0.202

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.52 MDCK Permeability:   -5.045
Pgp-inhibitor:   0.0 Pgp-substrate:   0.008
PAMPA:   0.968
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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%):   0.979 30% Bioavailability (F30%):   0.994
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.607 MRP1:   0.962
Plasma Protein Binding (PPB):   84.96% Volume Distribution (VD):   0.036
Fu: 18.02%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.997 BCRP inhibitor:   0.028
BSEP inhibitor:   0.092

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 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:   0.0 CYP3A4-substrate:   0.069
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.548
HLM stability:   0.0
?
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):  5.03 Half-life (T1/2):  1.65

ADMET: Toxicity

hERG Blockers:  0.066 hERG Blockers (10um):  0.156
Human Hepatotoxicity (H-HT):  0.732 Drug-induced Liver Injury (DILI):  0.765
AMES Toxicity:  0.379 Rat Oral Acute Toxicity:  0.128
Maximum Recommended Daily Dose:  0.7 Skin Sensitization:  1.0
Carcinogencity:  0.797 Eye Corrosion:  0.005
Eye Irritation:  0.555 Respiratory Toxicity:  0.747
Drug-induced Neurotoxicity:  0.008 Ototoxicity:  0.861
Hematotoxicity:  0.199 Drug-induced Nephrotoxicity:  0.575
Genotoxicity:  0.849 RPMI-8226 Immunitoxicity:  0.008
A549 Cytotoxicity:  0.662 Hek293 Cytotoxicity:  0.26
BCF:   0.607
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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:   3.745
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.492
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.811
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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
NPO40430 Alnus viridis ssp. viridis Strain Betulaceae Eukaryota Bark n.a. n.a. PMID[28368586]

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
NPT171 Cell line MRC5 Homo sapiens IC50 = 18500.0 nM PMID[28368586]
NPT1083 Cell line A-375 Homo sapiens IC50 = 11500.0 nM PMID[28368586]
NPT81 Cell line A549 Homo sapiens IC50 = 15400.0 nM PMID[28368586]
NPT2 Others Unspecified n.a. Ratio IC50 = 1.6 n.a. PMID[28368586]
NPT2 Others Unspecified n.a. Ratio IC50 = 1.2 n.a. PMID[28368586]

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 NPC487490 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
0.8953 High Similarity NPC487491
0.809 Intermediate Similarity NPC486700
0.809 Intermediate Similarity NPC275312
0.7708 Intermediate Similarity NPC487488
0.7708 Intermediate Similarity NPC487489
0.6957 Remote Similarity NPC290349
0.6842 Remote Similarity NPC8102
0.6842 Remote Similarity NPC66894
0.6337 Remote Similarity NPC132126
0.6211 Remote Similarity NPC486699
0.62 Remote Similarity NPC101863
0.6176 Remote Similarity NPC487492
0.6122 Remote Similarity NPC248287
0.6122 Remote Similarity NPC234548
0.5743 Remote Similarity NPC475138
0.5729 Remote Similarity NPC486709
0.5714 Remote Similarity NPC205392
0.5714 Remote Similarity NPC105942
0.5506 Remote Similarity NPC151191
0.5347 Remote Similarity NPC486695
0.5327 Remote Similarity NPC479744
0.5275 Remote Similarity NPC488213
0.5229 Remote Similarity NPC479739
0.5196 Remote Similarity NPC310621
0.5135 Remote Similarity NPC479745
0.5098 Remote Similarity NPC486708
0.5049 Remote Similarity NPC148404
0.5049 Remote Similarity NPC35212
0.5048 Remote Similarity NPC252133

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC487490 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