Natural Product: NPC329992

Natural Product IDNPC329992
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Pervilleine B
IUPAC Name [(3S,6S)-8-methyl-6-[(E)-3-(3,4,5-trimethoxyphenyl)prop-2-enoyl]oxy-8-azabicyclo[3.2.1]octan-3-yl] 3,4,5-trimethoxybenzoate
Synonyms Pervilleine B
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL486059
PubChem CID 44576220
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0002448] Benzenoids
      • [CHEMONTID:0002279] Benzene and substituted derivatives
        • [CHEMONTID:0000176] Benzoic acids and derivatives
          • [CHEMONTID:0001248] Hydroxybenzoic acid derivatives
            • [CHEMONTID:0001251] Gallic acid and derivatives

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 KKZAOZSLMGOEFU-ZAXSSQMLSA-N
Standard InCHI InChI=1S/C30H37NO10/c1-31-19-14-20(40-30(33)18-12-25(36-4)29(39-7)26(13-18)37-5)16-21(31)22(15-19)41-27(32)9-8-17-10-23(34-2)28(38-6)24(11-17)35-3/h8-13,19-22H,14-16H2,1-7H3/b9-8+/t19?,20-,21?,22-/m0/s1
SMILES COc1c(OC)cc(cc1OC)/C=C/C(=O)O[C@H]1CC2N(C1C[C@H](C2)OC(=O)c1cc(OC)c(c(c1)OC)OC)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   571.24 Volume:   568.381
?
Van der Waals volume.
Dense:   1.005 LogP:   2.63
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.799
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.853
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The logarithm of aqueous solubility value.
Rotatable Bonds:   13.0 Rigid Bonds:   24.0
TPSA:   111.22
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Topological Polar Surface Area.
H-Bond Acceptor:   11.0
H-Bond Donor:   0.0 Rings:   4.0
Heavy Atoms:   11.0

MedChem Properties

QED Drug-Likeness Score:   0.29 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.58 Fsp3:   0.467
MCE-18:   89.591
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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:   0.506 Fluc inhibitor:   0.96
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.307
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.389
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.005 Promiscuous compounds:   0.039

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.823 MDCK Permeability:   -4.673
Pgp-inhibitor:   0.854 Pgp-substrate:   0.041
PAMPA:   0.007
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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%):   0.011 30% Bioavailability (F30%):   0.001
50% Bioavailability (F50%):   0.481

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.971 MRP1:   0.999
Plasma Protein Binding (PPB):   84.251% Volume Distribution (VD):   0.111
Fu: 15.275%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.054
OATP1B3 inhibitor:   0.899 BCRP inhibitor:   0.464
BSEP inhibitor:   0.999

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.002
CYP2C19-inhibitor:   1.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.786
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   1.0 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.605
?
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):  8.688 Half-life (T1/2):  1.278

ADMET: Toxicity

hERG Blockers:  0.388 hERG Blockers (10um):  0.696
Human Hepatotoxicity (H-HT):  0.353 Drug-induced Liver Injury (DILI):  0.607
AMES Toxicity:  0.536 Rat Oral Acute Toxicity:  0.603
Maximum Recommended Daily Dose:  0.926 Skin Sensitization:  0.927
Carcinogencity:  0.61 Eye Corrosion:  0.0
Eye Irritation:  0.009 Respiratory Toxicity:  0.76
Drug-induced Neurotoxicity:  0.972 Ototoxicity:  0.585
Hematotoxicity:  0.087 Drug-induced Nephrotoxicity:  0.836
Genotoxicity:  0.494 RPMI-8226 Immunitoxicity:  0.27
A549 Cytotoxicity:  0.6 Hek293 Cytotoxicity:  0.639
BCF:   0.998
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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:   3.98
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.054
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.672
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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
NPO33258 erythroxylum pervillei Species Erythroxylaceae Eukaryota n.a. n.a. n.a. PMID[11754602]

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
NPT1034 Cell line Lu1 Homo sapiens ED50 = 3.1 ug ml-1 PMID[24467317]
NPT1851 Cell line Col2 Homo sapiens ED50 = 1.3 ug ml-1 DOI[10.6019/CHEMBL1201861]
NPT91 Cell line KB Homo sapiens ED50 > 20.0 ug ml-1 PMID[9873651]
NPT858 Cell line LNCaP Homo sapiens ED50 = 1.0 ug ml-1 PMID[24128145]
NPT2345 Cell line SW626 Homo sapiens ED50 = 3.2 ug ml-1 DrugMatrix in vitro pharmacology data
NPT146 Cell line SK-OV-3 Homo sapiens IC50 = 3800.0 nM DrugMatrix in vitro pharmacology data
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. ED50 = 9.4 ug ml-1 PMID[11754602]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. ED50 = 0.1 ug ml-1 PMID[11754602]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. ED50 = 8.8 ug ml-1 PMID[11754602]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. IC50 > 10000.0 nM PMID[11754602]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. IC50 = 120.0 nM PMID[11754602]

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 NPC329992 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
0.8167 Intermediate Similarity NPC329640
0.7647 Intermediate Similarity NPC479234
0.7647 Intermediate Similarity NPC479232
0.7143 Intermediate Similarity NPC473562
0.6806 Remote Similarity NPC474858
0.6667 Remote Similarity NPC479231
0.6301 Remote Similarity NPC479236
0.6203 Remote Similarity NPC329816
0.6066 Remote Similarity NPC26353
0.5897 Remote Similarity NPC479235
0.5694 Remote Similarity NPC329717
0.5128 Remote Similarity NPC475566

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC329992 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