Natural Product: NPC534931

Natural Product IDNPC534931
Common Name
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The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
(13~{a}~{S})-3-methoxy-6,8,13,13~{a}-tetrahydro-5~{H}-isoquinolino[3,2-a]isoquinolin-2-ol
IUPAC Name (13~{a}~{S})-3-methoxy-6,8,13,13~{a}-tetrahydro-5~{H}-isoquinolino[3,2-a]isoquinolin-2-ol
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID n.a.
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]

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 FNYIPYRLIHJQLI-INIZCTEOSA-N
Standard InCHI InChI=1S/C18H19NO2/c1-21-18-9-13-6-7-19-11-14-5-3-2-4-12(14)8-16(19)15(13)10-17(18)20/h2-5,9-10,16,20H,6-8,11H2,1H3/t16-/m0/s1
SMILES COC1=CC2=C(C=C1O)[C@@H]1CC3=CC=CC=C3CN1CC2

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   281.14 Volume:   298.417
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Van der Waals volume.
Dense:   0.942 LogP:   2.047
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.838
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.257
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The logarithm of aqueous solubility value.
Rotatable Bonds:   1.0 Rigid Bonds:   21.0
TPSA:   32.7
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Topological Polar Surface Area.
H-Bond Acceptor:   3.0
H-Bond Donor:   1.0 Rings:   4.0
Heavy Atoms:   3.0

MedChem Properties

QED Drug-Likeness Score:   0.872 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   2.689 Fsp3:   0.333
MCE-18:   68.333
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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:   Rejected
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   1 PAINS Alert:   0
Colloidal aggregators:   0.484 Fluc inhibitor:   0.324
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.499
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.601
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.003 Promiscuous compounds:   0.064

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.684 MDCK Permeability:   -4.626
Pgp-inhibitor:   0.011 Pgp-substrate:   0.764
PAMPA:   0.009
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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%):   0.706 30% Bioavailability (F30%):   0.832
50% Bioavailability (F50%):   0.993

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.963 MRP1:   0.985
Plasma Protein Binding (PPB):   97.092% Volume Distribution (VD):   -0.054
Fu: 2.725%
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The fraction unbound in plasms.
OATP1B1 inhibitor:   0.976
OATP1B3 inhibitor:   0.951 BCRP inhibitor:   0.485
BSEP inhibitor:   0.936

ADMET: Metabolism

CYP1A2-inhibitor:   1.0 CYP1A2-substrate:   0.088
CYP2C19-inhibitor:   1.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   1.0 CYP2C9-substrate:   1.0
CYP2D6-inhibitor:   1.0 CYP2D6-substrate:   0.074
CYP3A4-inhibitor:   0.998 CYP3A4-substrate:   0.994
CYP2B6-substrate:   0.94 CYP2C8-inhibitor:   0.083
HLM stability:   0.911
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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):  7.185 Half-life (T1/2):  1.924

ADMET: Toxicity

hERG Blockers:  0.472 hERG Blockers (10um):  0.674
Human Hepatotoxicity (H-HT):  0.571 Drug-induced Liver Injury (DILI):  0.074
AMES Toxicity:  0.583 Rat Oral Acute Toxicity:  0.726
Maximum Recommended Daily Dose:  0.81 Skin Sensitization:  0.709
Carcinogencity:  0.714 Eye Corrosion:  0.01
Eye Irritation:  0.563 Respiratory Toxicity:  0.941
Drug-induced Neurotoxicity:  0.789 Ototoxicity:  0.251
Hematotoxicity:  0.162 Drug-induced Nephrotoxicity:  0.432
Genotoxicity:  0.903 RPMI-8226 Immunitoxicity:  0.053
A549 Cytotoxicity:  0.237 Hek293 Cytotoxicity:  0.347
BCF:   1.341
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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:   3.863
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.972
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.43
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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
NPO50110 Alangium lamarckii Thw. Genus Cornaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]

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

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 NPC534931 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
0.8077 Intermediate Similarity NPC88249
0.7091 Intermediate Similarity NPC220858
0.7069 Intermediate Similarity NPC189266
0.7069 Intermediate Similarity NPC2413
0.7069 Intermediate Similarity NPC110416
0.6949 Remote Similarity NPC249797
0.6949 Remote Similarity NPC193949
0.6833 Remote Similarity NPC295691
0.6833 Remote Similarity NPC207757
0.6833 Remote Similarity NPC54379
0.6724 Remote Similarity NPC151895
0.623 Remote Similarity NPC172765
0.6212 Remote Similarity NPC232514
0.6032 Remote Similarity NPC204828
0.6032 Remote Similarity NPC5238
0.5738 Remote Similarity NPC147390
0.5738 Remote Similarity NPC428
0.5645 Remote Similarity NPC321505
0.5645 Remote Similarity NPC179825
0.5614 Remote Similarity NPC128019
0.5556 Remote Similarity NPC39701
0.5556 Remote Similarity NPC184026
0.5469 Remote Similarity NPC276588
0.5469 Remote Similarity NPC127674
0.5469 Remote Similarity NPC278799
0.5303 Remote Similarity NPC312025
0.5263 Remote Similarity NPC192768
0.5231 Remote Similarity NPC469817
0.5147 Remote Similarity NPC606650
0.5088 Remote Similarity NPC301050
0.5085 Remote Similarity NPC34559
0.5072 Remote Similarity NPC276944
0.5072 Remote Similarity NPC238530

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC534931 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
0.5075 Remote Similarity NPD4010 Discontinued

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