Natural Product: NPC477290

Natural Product IDNPC477290
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
4-aza-A-homo-3-oxo-ursolic acid
IUPAC Name (1R,2S,5S,8R,9S,10S,14R,15R,21R)-1,2,8,9,15,20,20-heptamethyl-18-oxo-19-azapentacyclo[12.9.0.02,11.05,10.015,21]tricos-11-ene-5-carboxylic acid
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 44562549
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000002] Organoheterocyclic compounds
      • [CHEMONTID:0000160] Lactams
        • [CHEMONTID:0000163] Caprolactams

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 YRCGVDWNLBAYIE-OADIDDRXSA-N
Standard InCHI InChI=1S/C30H47NO3/c1-18-10-15-30(25(33)34)17-16-28(6)20(24(30)19(18)2)8-9-22-27(5)13-12-23(32)31-26(3,4)21(27)11-14-29(22,28)7/h8,18-19,21-22,24H,9-17H2,1-7H3,(H,31,32)(H,33,34)/t18-,19+,21+,22-,24+,27+,28-,29-,30+/m1/s1
SMILES C[C@@H]1CC[C@@]2(CC[C@@]3(C(=CC[C@H]4[C@]3(CC[C@@H]5[C@@]4(CCC(=O)NC5(C)C)C)C)[C@@H]2[C@H]1C)C)C(=O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   469.36 Volume:   514.112
?
Van der Waals volume.
Dense:   0.913 LogP:   3.601
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.204
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.59
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The logarithm of aqueous solubility value.
Rotatable Bonds:   1.0 Rigid Bonds:   29.0
TPSA:   66.4
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Topological Polar Surface Area.
H-Bond Acceptor:   4.0
H-Bond Donor:   2.0 Rings:   5.0
Heavy Atoms:   4.0

MedChem Properties

QED Drug-Likeness Score:   0.425 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.831 Fsp3:   0.867
MCE-18:   101.786
?
MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Rejected
Pfizer Rule:   Accepted GSK Rule:   Accepted
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.767 Fluc inhibitor:   0.0
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.128
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.0
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.008 Promiscuous compounds:   0.114

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.536 MDCK Permeability:   -5.045
Pgp-inhibitor:   0.021 Pgp-substrate:   0.041
PAMPA:   0.988
?
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%):   0.01 30% Bioavailability (F30%):   0.005
50% Bioavailability (F50%):   0.349

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.867 MRP1:   0.989
Plasma Protein Binding (PPB):   97.45% Volume Distribution (VD):   -0.513
Fu: 3.216%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.577 BCRP inhibitor:   0.009
BSEP inhibitor:   0.959

ADMET: Metabolism

CYP1A2-inhibitor:   0.954 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.864 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.949 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.0
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):  2.614 Half-life (T1/2):  0.836

ADMET: Toxicity

hERG Blockers:  0.02 hERG Blockers (10um):  0.032
Human Hepatotoxicity (H-HT):  0.772 Drug-induced Liver Injury (DILI):  0.853
AMES Toxicity:  0.283 Rat Oral Acute Toxicity:  0.378
Maximum Recommended Daily Dose:  0.292 Skin Sensitization:  0.521
Carcinogencity:  0.934 Eye Corrosion:  0.03
Eye Irritation:  0.619 Respiratory Toxicity:  0.888
Drug-induced Neurotoxicity:  0.142 Ototoxicity:  0.606
Hematotoxicity:  0.718 Drug-induced Nephrotoxicity:  0.956
Genotoxicity:  0.919 RPMI-8226 Immunitoxicity:  0.025
A549 Cytotoxicity:  0.029 Hek293 Cytotoxicity:  0.083
BCF:   0.569
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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:   3.362
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.903
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.264
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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
NPO26571 Ilex paraguariensis Species Aquifoliaceae Eukaryota leaves Mato Leitao, RS, Brazil n.a. PMID[18192087]
NPO26571 Ilex paraguariensis Species Aquifoliaceae Eukaryota n.a. n.a. n.a. PMID[25955847]
NPO26571 Ilex paraguariensis Species Aquifoliaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO26571 Ilex paraguariensis Species Aquifoliaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO26571 Ilex paraguariensis Species Aquifoliaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO26571 Ilex paraguariensis Species Aquifoliaceae 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
NPT441 Individual protein Cytochrome P450 19A1 Homo sapiens IC50 > 500000 nM PMID[18192087]

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

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 NPC477290 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
0.6286 Remote Similarity NPC274050
0.6286 Remote Similarity NPC162632
0.6081 Remote Similarity NPC485589
0.5972 Remote Similarity NPC477289
0.5946 Remote Similarity NPC173089
0.5946 Remote Similarity NPC32407
0.5946 Remote Similarity NPC263548
0.5946 Remote Similarity NPC606320
0.589 Remote Similarity NPC51700
0.589 Remote Similarity NPC88716
0.589 Remote Similarity NPC68160
0.5811 Remote Similarity NPC61543
0.5811 Remote Similarity NPC293048
0.5811 Remote Similarity NPC225585
0.5811 Remote Similarity NPC71074
0.5811 Remote Similarity NPC605937
0.5769 Remote Similarity NPC485586
0.5769 Remote Similarity NPC485588
0.5733 Remote Similarity NPC87095
0.5733 Remote Similarity NPC477288
0.5526 Remote Similarity NPC305464
0.5526 Remote Similarity NPC19376
0.5526 Remote Similarity NPC25848
0.55 Remote Similarity NPC230151
0.5238 Remote Similarity NPC485585
0.5169 Remote Similarity NPC173569
0.5132 Remote Similarity NPC274330
0.5057 Remote Similarity NPC485882
0.5056 Remote Similarity NPC485587

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC477290 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