Natural Product: NPC572321

Natural Product IDNPC572321
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})-2,3,9,10-tetramethoxy-6,8,13,13~{a}-tetrahydro-5~{H}-isoquinolino[3,2-a]isoquinolin-11-ol
IUPAC Name (13~{a}~{S})-2,3,9,10-tetramethoxy-6,8,13,13~{a}-tetrahydro-5~{H}-isoquinolino[3,2-a]isoquinolin-11-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 DKCQBFHZGAIJOJ-INIZCTEOSA-N
Standard InCHI InChI=1S/C21H25NO5/c1-24-18-9-12-5-6-22-11-15-13(7-16(22)14(12)10-19(18)25-2)8-17(23)21(27-4)20(15)26-3/h8-10,16,23H,5-7,11H2,1-4H3/t16-/m0/s1
SMILES COC1=CC2=C(C=C1OC)[C@@H]1CC3=CC(O)=C(OC)C(OC)=C3CN1CC2

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   371.17 Volume:   376.675
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Van der Waals volume.
Dense:   0.985 LogP:   1.501
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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:   -2.239
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The logarithm of aqueous solubility value.
Rotatable Bonds:   4.0 Rigid Bonds:   21.0
TPSA:   60.39
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Topological Polar Surface Area.
H-Bond Acceptor:   6.0
H-Bond Donor:   1.0 Rings:   4.0
Heavy Atoms:   6.0

MedChem Properties

QED Drug-Likeness Score:   0.891 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   3.052 Fsp3:   0.429
MCE-18:   76.667
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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:   0.161 Fluc inhibitor:   0.044
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.55
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.534
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.001 Promiscuous compounds:   0.118

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.903 MDCK Permeability:   -4.714
Pgp-inhibitor:   0.001 Pgp-substrate:   0.949
PAMPA:   0.018
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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):   0.007
20% Bioavailability (F20%):   0.345 30% Bioavailability (F30%):   0.508
50% Bioavailability (F50%):   0.988

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.185 MRP1:   0.994
Plasma Protein Binding (PPB):   83.21% Volume Distribution (VD):   -0.067
Fu: 15.385%
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The fraction unbound in plasms.
OATP1B1 inhibitor:   0.935
OATP1B3 inhibitor:   0.985 BCRP inhibitor:   0.732
BSEP inhibitor:   0.845

ADMET: Metabolism

CYP1A2-inhibitor:   1.0 CYP1A2-substrate:   0.01
CYP2C19-inhibitor:   1.0 CYP2C19-substrate:   0.001
CYP2C9-inhibitor:   0.963 CYP2C9-substrate:   0.925
CYP2D6-inhibitor:   1.0 CYP2D6-substrate:   0.025
CYP3A4-inhibitor:   0.975 CYP3A4-substrate:   0.851
CYP2B6-substrate:   0.218 CYP2C8-inhibitor:   0.914
HLM stability:   0.815
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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):  10.379 Half-life (T1/2):  1.936

ADMET: Toxicity

hERG Blockers:  0.426 hERG Blockers (10um):  0.66
Human Hepatotoxicity (H-HT):  0.525 Drug-induced Liver Injury (DILI):  0.098
AMES Toxicity:  0.412 Rat Oral Acute Toxicity:  0.713
Maximum Recommended Daily Dose:  0.755 Skin Sensitization:  0.72
Carcinogencity:  0.722 Eye Corrosion:  0.005
Eye Irritation:  0.292 Respiratory Toxicity:  0.938
Drug-induced Neurotoxicity:  0.803 Ototoxicity:  0.355
Hematotoxicity:  0.263 Drug-induced Nephrotoxicity:  0.415
Genotoxicity:  0.738 RPMI-8226 Immunitoxicity:  0.095
A549 Cytotoxicity:  0.237 Hek293 Cytotoxicity:  0.364
BCF:   1.816
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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:   3.95
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.288
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.432
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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
NPO62754 Stephania rotunda Lour. Genus Menispermaceae 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 NPC572321 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
0.7069 Intermediate Similarity NPC39701
0.7069 Intermediate Similarity NPC184026
0.6842 Remote Similarity NPC210437
0.6842 Remote Similarity NPC16107
0.6842 Remote Similarity NPC106295
0.6724 Remote Similarity NPC51957
0.6721 Remote Similarity NPC204828
0.6721 Remote Similarity NPC295691
0.6721 Remote Similarity NPC207757
0.6721 Remote Similarity NPC54379
0.6721 Remote Similarity NPC5238
0.661 Remote Similarity NPC151895
0.6452 Remote Similarity NPC326205
0.6393 Remote Similarity NPC276588
0.6393 Remote Similarity NPC127674
0.6393 Remote Similarity NPC278799
0.6364 Remote Similarity NPC128019
0.6364 Remote Similarity NPC232514
0.625 Remote Similarity NPC606650
0.6129 Remote Similarity NPC469817
0.6129 Remote Similarity NPC189266
0.6129 Remote Similarity NPC172765
0.6129 Remote Similarity NPC2413
0.6129 Remote Similarity NPC110416
0.6102 Remote Similarity NPC88249
0.6102 Remote Similarity NPC220858
0.6032 Remote Similarity NPC216459
0.6032 Remote Similarity NPC41178
0.6032 Remote Similarity NPC138487
0.5873 Remote Similarity NPC31311
0.5873 Remote Similarity NPC234392
0.5846 Remote Similarity NPC264850
0.5692 Remote Similarity NPC312025
0.5672 Remote Similarity NPC276944
0.5672 Remote Similarity NPC238530
0.5538 Remote Similarity NPC249797
0.5538 Remote Similarity NPC193949
0.5397 Remote Similarity NPC24465
0.5312 Remote Similarity NPC135538
0.5312 Remote Similarity NPC24233
0.5254 Remote Similarity NPC34559

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC572321 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
0.6842 Remote Similarity NPD4584 Phase 2

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