Natural Product: NPC531615

Natural Product IDNPC531615
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.
(1~{S})-1-[[3-hydroxy-4-[[(1~{R})-1-[(4-hydroxyphenyl)methyl]-6-methoxy-2-methyl-3,4-dihydro-1~{H}-isoquinolin-7-yl]oxy]phenyl]methyl]-6-methoxy-2-methyl-3,4-dihydro-1~{H}-isoquinolin-7-ol
IUPAC Name (1~{S})-1-[[3-hydroxy-4-[[(1~{R})-1-[(4-hydroxyphenyl)methyl]-6-methoxy-2-methyl-3,4-dihydro-1~{H}-isoquinolin-7-yl]oxy]phenyl]methyl]-6-methoxy-2-methyl-3,4-dihydro-1~{H}-isoquinolin-7-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 MXVKZTHARDQLEC-IHLOFXLRSA-N
Standard InCHI InChI=1S/C36H40N2O6/c1-37-14-12-25-19-35(43-4)36(21-28(25)29(37)15-22-5-8-26(39)9-6-22)44-33-10-7-23(17-31(33)40)16-30-27-20-32(41)34(42-3)18-24(27)11-13-38(30)2/h5-10,17-21,29-30,39-41H,11-16H2,1-4H3/t29-,30+/m1/s1
SMILES COC1=CC2=C(C=C1O)[C@H](CC1=CC=C(OC3=CC4=C(C=C3OC)CCN(C)[C@@H]4CC3=CC=C(O)C=C3)C(O)=C1)N(C)CC2

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   596.29 Volume:   622.971
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Van der Waals volume.
Dense:   0.957 LogP:   2.377
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.342
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.512
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The logarithm of aqueous solubility value.
Rotatable Bonds:   8.0 Rigid Bonds:   34.0
TPSA:   94.86
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Topological Polar Surface Area.
H-Bond Acceptor:   8.0
H-Bond Donor:   3.0 Rings:   6.0
Heavy Atoms:   8.0

MedChem Properties

QED Drug-Likeness Score:   0.223 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   3.703 Fsp3:   0.333
MCE-18:   113.75
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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:   Accepted
Golden Triangle Rule:   Accepted BMS Rule:   0
Chelating Alert:   1 PAINS Alert:   0
Colloidal aggregators:   0.987 Fluc inhibitor:   0.104
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.8
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.953
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.002 Promiscuous compounds:   0.147

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.071 MDCK Permeability:   -4.805
Pgp-inhibitor:   0.485 Pgp-substrate:   0.923
PAMPA:   0.001
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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%):   0.996 30% Bioavailability (F30%):   0.94
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.761 MRP1:   0.993
Plasma Protein Binding (PPB):   57.141% Volume Distribution (VD):   -0.231
Fu: 44.704%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.987
OATP1B3 inhibitor:   0.887 BCRP inhibitor:   0.534
BSEP inhibitor:   0.994

ADMET: Metabolism

CYP1A2-inhibitor:   1.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   1.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   1.0 CYP2C9-substrate:   0.149
CYP2D6-inhibitor:   1.0 CYP2D6-substrate:   0.006
CYP3A4-inhibitor:   0.985 CYP3A4-substrate:   0.804
CYP2B6-substrate:   0.177 CYP2C8-inhibitor:   0.188
HLM stability:   0.656
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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):  7.769 Half-life (T1/2):  2.888

ADMET: Toxicity

hERG Blockers:  0.926 hERG Blockers (10um):  0.771
Human Hepatotoxicity (H-HT):  0.92 Drug-induced Liver Injury (DILI):  0.006
AMES Toxicity:  0.4 Rat Oral Acute Toxicity:  0.949
Maximum Recommended Daily Dose:  1.0 Skin Sensitization:  0.233
Carcinogencity:  0.073 Eye Corrosion:  0.0
Eye Irritation:  0.009 Respiratory Toxicity:  0.984
Drug-induced Neurotoxicity:  0.994 Ototoxicity:  0.334
Hematotoxicity:  0.003 Drug-induced Nephrotoxicity:  0.379
Genotoxicity:  1.0 RPMI-8226 Immunitoxicity:  0.056
A549 Cytotoxicity:  0.396 Hek293 Cytotoxicity:  0.794
BCF:   1.56
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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:   4.366
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.249
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.784
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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
NPO52009 Cyclea sutchuensis 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 NPC531615 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
0.8676 High Similarity NPC610959
0.75 Intermediate Similarity NPC321505
0.75 Intermediate Similarity NPC179825
0.7465 Intermediate Similarity NPC480592
0.7237 Intermediate Similarity NPC600872
0.7215 Intermediate Similarity NPC601489
0.7215 Intermediate Similarity NPC604804
0.7162 Intermediate Similarity NPC240841
0.7083 Intermediate Similarity NPC256012
0.7083 Intermediate Similarity NPC610965
0.7077 Intermediate Similarity NPC147390
0.7077 Intermediate Similarity NPC428
0.7027 Intermediate Similarity NPC603603
0.6818 Remote Similarity NPC191376
0.6716 Remote Similarity NPC135538
0.6716 Remote Similarity NPC24233
0.6543 Remote Similarity NPC290005
0.6515 Remote Similarity NPC185838
0.641 Remote Similarity NPC480591
0.6375 Remote Similarity NPC600054
0.6375 Remote Similarity NPC601504
0.6341 Remote Similarity NPC181796
0.6341 Remote Similarity NPC54654
0.6341 Remote Similarity NPC7715
0.6341 Remote Similarity NPC328155
0.6341 Remote Similarity NPC222661
0.6341 Remote Similarity NPC285931
0.6296 Remote Similarity NPC223690
0.6296 Remote Similarity NPC9532
0.6296 Remote Similarity NPC601503
0.6216 Remote Similarity NPC317272
0.6216 Remote Similarity NPC268503
0.6173 Remote Similarity NPC286119
0.6098 Remote Similarity NPC185639
0.6098 Remote Similarity NPC251735
0.6098 Remote Similarity NPC49075
0.6098 Remote Similarity NPC599951
0.6049 Remote Similarity NPC609914
0.5976 Remote Similarity NPC311973
0.5976 Remote Similarity NPC239824
0.593 Remote Similarity NPC611658
0.5926 Remote Similarity NPC290582
0.5926 Remote Similarity NPC217748
0.5926 Remote Similarity NPC182052
0.5926 Remote Similarity NPC271013
0.5926 Remote Similarity NPC42663
0.5926 Remote Similarity NPC15414
0.5854 Remote Similarity NPC279228
0.5814 Remote Similarity NPC212237
0.5747 Remote Similarity NPC24260
0.5747 Remote Similarity NPC605743
0.5714 Remote Similarity NPC254441
0.5647 Remote Similarity NPC274716
0.5647 Remote Similarity NPC167116
0.5647 Remote Similarity NPC609821
0.5568 Remote Similarity NPC275680
0.5568 Remote Similarity NPC22115
0.5541 Remote Similarity NPC247639
0.5541 Remote Similarity NPC25084
0.5529 Remote Similarity NPC116465
0.5495 Remote Similarity NPC206900
0.5476 Remote Similarity NPC608819
0.5441 Remote Similarity NPC314682
0.5417 Remote Similarity NPC103379
0.5385 Remote Similarity NPC480586
0.5341 Remote Similarity NPC16357
0.5341 Remote Similarity NPC302245
0.5319 Remote Similarity NPC41122
0.5319 Remote Similarity NPC318805
0.5309 Remote Similarity NPC76682
0.5309 Remote Similarity NPC10908
0.5309 Remote Similarity NPC63646
0.5309 Remote Similarity NPC317145
0.5309 Remote Similarity NPC198498
0.5309 Remote Similarity NPC115284
0.5217 Remote Similarity NPC480590
0.5208 Remote Similarity NPC201508
0.5161 Remote Similarity NPC82457
0.5143 Remote Similarity NPC213206
0.5143 Remote Similarity NPC188163
0.5143 Remote Similarity NPC328750
0.5072 Remote Similarity NPC484289
0.506 Remote Similarity NPC276890
0.5059 Remote Similarity NPC603853

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC531615 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
0.587 Remote Similarity NPD8054 Phase 4
0.5591 Remote Similarity NPD8053 Approved
0.5309 Remote Similarity NPD8099 Discontinued
0.5263 Remote Similarity NPD4010 Discontinued
0.5143 Remote Similarity NPD4664 Clinical (unspecified phase)
0.5059 Remote Similarity NPD8156 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