Natural Product: NPC92541

Natural Product IDNPC92541
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
(14As)-3,6,7-Trimethoxy-11,12,13,14,14A,15-Hexahydro-9H-Phenanthro[9,10-B]Quinolizine
IUPAC Name (14aS)-3,6,7-trimethoxy-11,12,13,14,14a,15-hexahydro-9H-phenanthro[9,10-b]quinolizine
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL1958070
PubChem CID 52939850
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0002448] Benzenoids
      • [CHEMONTID:0000025] Phenanthrenes and derivatives
        • [CHEMONTID:0001907] Phenanthroquinolizidines

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 ANTGAFQZQJMDNP-HNNXBMFYSA-N
Standard InCHI InChI=1S/C24H27NO3/c1-26-16-7-8-17-18-10-15-6-4-5-9-25(15)14-22(18)21-13-24(28-3)23(27-2)12-20(21)19(17)11-16/h7-8,11-13,15H,4-6,9-10,14H2,1-3H3/t15-/m0/s1
SMILES COc1ccc2c(c1)c1cc(OC)c(cc1c1c2C[C@@H]2CCCCN2C1)OC

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   377.2 Volume:   399.79
?
Van der Waals volume.
Dense:   0.943 LogP:   4.272
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.518
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -6.517
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   3.0 Rigid Bonds:   26.0
TPSA:   30.93
?
Topological Polar Surface Area.
H-Bond Acceptor:   4.0
H-Bond Donor:   0.0 Rings:   5.0
Heavy Atoms:   4.0

MedChem Properties

QED Drug-Likeness Score:   0.606 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   2.873 Fsp3:   0.417
MCE-18:   88.706
?
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:   0.942 Fluc inhibitor:   0.063
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.785
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.583
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.001 Promiscuous compounds:   0.327

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.557 MDCK Permeability:   -4.706
Pgp-inhibitor:   0.712 Pgp-substrate:   0.681
PAMPA:   0.001
?
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%):   0.006 30% Bioavailability (F30%):   0.003
50% Bioavailability (F50%):   0.469

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.082 MRP1:   0.836
Plasma Protein Binding (PPB):   86.169% Volume Distribution (VD):   0.258
Fu: 10.611%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.998
BSEP inhibitor:   0.984

ADMET: Metabolism

CYP1A2-inhibitor:   1.0 CYP1A2-substrate:   0.019
CYP2C19-inhibitor:   1.0 CYP2C19-substrate:   0.004
CYP2C9-inhibitor:   0.984 CYP2C9-substrate:   0.904
CYP2D6-inhibitor:   1.0 CYP2D6-substrate:   0.513
CYP3A4-inhibitor:   0.967 CYP3A4-substrate:   0.634
CYP2B6-substrate:   0.995 CYP2C8-inhibitor:   0.188
HLM stability:   0.985
?
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):  8.164 Half-life (T1/2):  1.096

ADMET: Toxicity

hERG Blockers:  0.804 hERG Blockers (10um):  0.753
Human Hepatotoxicity (H-HT):  0.794 Drug-induced Liver Injury (DILI):  0.765
AMES Toxicity:  0.766 Rat Oral Acute Toxicity:  0.753
Maximum Recommended Daily Dose:  0.975 Skin Sensitization:  0.531
Carcinogencity:  0.796 Eye Corrosion:  0.0
Eye Irritation:  0.133 Respiratory Toxicity:  0.994
Drug-induced Neurotoxicity:  0.971 Ototoxicity:  0.747
Hematotoxicity:  0.604 Drug-induced Nephrotoxicity:  0.923
Genotoxicity:  0.682 RPMI-8226 Immunitoxicity:  0.303
A549 Cytotoxicity:  0.513 Hek293 Cytotoxicity:  0.803
BCF:   2.322
?
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:   4.458
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.028
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.393
?
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
NPO23109 Boehmeria siamensis Species Urticaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO23109 Boehmeria siamensis Species Urticaceae 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
NPT1046 Individual protein NAD-dependent deacetylase sirtuin 1 Homo sapiens Inhibition = 10.0 % PMID[25626146]
NPT1158 Individual protein NAD-dependent deacetylase sirtuin 2 Homo sapiens Inhibition = 41.0 % PMID[25626146]

In vitro activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference
NPT116 Cell line HL-60 Homo sapiens GI50 = 600.0 nM PMID[22417638]
NPT81 Cell line A549 Homo sapiens GI50 = 700.0 nM PMID[22417638]
NPT137 Cell line L1210 Mus musculus IC50 = 111.0 nM PMID[25626146]
NPT333 Cell line CEM Homo sapiens IC50 = 201.0 nM PMID[25626146]
NPT165 Cell line HeLa Homo sapiens IC50 = 182.0 nM PMID[25626146]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. IC50 = 23.0 nM PMID[25626146]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. IC50 = 82.0 nM PMID[25626146]

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 NPC92541 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
0.8909 High Similarity NPC219162
0.8909 High Similarity NPC605089
0.8246 Intermediate Similarity NPC90844
0.8246 Intermediate Similarity NPC95075
0.8246 Intermediate Similarity NPC253883
0.746 Intermediate Similarity NPC76079
0.7321 Intermediate Similarity NPC130941
0.7321 Intermediate Similarity NPC605913
0.6984 Remote Similarity NPC244112
0.6719 Remote Similarity NPC603531
0.6324 Remote Similarity NPC487714
0.6212 Remote Similarity NPC169743
0.597 Remote Similarity NPC186063
0.5909 Remote Similarity NPC233650
0.5672 Remote Similarity NPC150879

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC92541 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