Natural Product: NPC571951

Natural Product IDNPC571951
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
(1~{S})-1-[[4-[2-hydroxy-5-[[(1~{R})-7-hydroxy-6-methoxy-2-methyl-3,4-dihydro-1~{H}-isoquinolin-1-yl]methyl]phenoxy]phenyl]methyl]-7-methoxy-2-methyl-3,4-dihydro-1~{H}-isoquinolin-6-ol
IUPAC Name (1~{S})-1-[[4-[2-hydroxy-5-[[(1~{R})-7-hydroxy-6-methoxy-2-methyl-3,4-dihydro-1~{H}-isoquinolin-1-yl]methyl]phenoxy]phenyl]methyl]-7-methoxy-2-methyl-3,4-dihydro-1~{H}-isoquinolin-6-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 RMABHGZZUIKESI-XZWHSSHBSA-N
Standard InCHI InChI=1S/C36H40N2O6/c1-37-13-11-24-18-32(40)35(43-4)21-28(24)29(37)15-22-5-8-26(9-6-22)44-36-17-23(7-10-31(36)39)16-30-27-20-33(41)34(42-3)19-25(27)12-14-38(30)2/h5-10,17-21,29-30,39-41H,11-16H2,1-4H3/t29-,30+/m0/s1
SMILES COC1=CC2=C(C=C1O)[C@@H](CC1=CC=C(O)C(OC3=CC=C(C[C@H]4C5=CC(OC)=C(O)C=C5CCN4C)C=C3)=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:   3.009
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.619
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.059
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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:   3.685 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:   0.189
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.887
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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:   0.187

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.141 MDCK Permeability:   -4.791
Pgp-inhibitor:   0.807 Pgp-substrate:   0.011
PAMPA:   0.003
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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%):   0.986 30% Bioavailability (F30%):   0.821
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.366 MRP1:   0.991
Plasma Protein Binding (PPB):   63.935% Volume Distribution (VD):   -0.169
Fu: 40.082%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.999 BCRP inhibitor:   0.836
BSEP inhibitor:   1.0

ADMET: Metabolism

CYP1A2-inhibitor:   1.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   1.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   1.0 CYP2C9-substrate:   0.999
CYP2D6-inhibitor:   1.0 CYP2D6-substrate:   0.003
CYP3A4-inhibitor:   0.999 CYP3A4-substrate:   0.003
CYP2B6-substrate:   0.994 CYP2C8-inhibitor:   0.058
HLM stability:   0.723
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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):  5.672 Half-life (T1/2):  2.862

ADMET: Toxicity

hERG Blockers:  0.846 hERG Blockers (10um):  0.753
Human Hepatotoxicity (H-HT):  0.905 Drug-induced Liver Injury (DILI):  0.141
AMES Toxicity:  0.767 Rat Oral Acute Toxicity:  0.221
Maximum Recommended Daily Dose:  0.987 Skin Sensitization:  0.552
Carcinogencity:  0.395 Eye Corrosion:  0.0
Eye Irritation:  0.051 Respiratory Toxicity:  0.535
Drug-induced Neurotoxicity:  0.858 Ototoxicity:  0.916
Hematotoxicity:  0.052 Drug-induced Nephrotoxicity:  0.258
Genotoxicity:  0.965 RPMI-8226 Immunitoxicity:  0.08
A549 Cytotoxicity:  0.398 Hek293 Cytotoxicity:  0.926
BCF:   1.736
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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:   4.468
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.559
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.011
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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
NPO17091 Berberis chilensis Species Berberidaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO51969 Berberis laurina Billb. Genus Berberidaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO17091 Berberis chilensis Species Berberidaceae 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

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 NPC571951 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
0.9077 High Similarity NPC240841
0.8 Intermediate Similarity NPC317272
0.8 Intermediate Similarity NPC268503
0.7794 Intermediate Similarity NPC480592
0.7465 Intermediate Similarity NPC610959
0.7324 Intermediate Similarity NPC603603
0.7031 Intermediate Similarity NPC321505
0.7031 Intermediate Similarity NPC179825
0.7013 Intermediate Similarity NPC181796
0.7013 Intermediate Similarity NPC54654
0.7013 Intermediate Similarity NPC7715
0.7013 Intermediate Similarity NPC328155
0.7013 Intermediate Similarity NPC222661
0.7013 Intermediate Similarity NPC285931
0.6933 Remote Similarity NPC608819
0.6875 Remote Similarity NPC191376
0.6875 Remote Similarity NPC147390
0.6875 Remote Similarity NPC428
0.6795 Remote Similarity NPC290005
0.6753 Remote Similarity NPC185639
0.6753 Remote Similarity NPC251735
0.6753 Remote Similarity NPC49075
0.6753 Remote Similarity NPC599951
0.6667 Remote Similarity NPC274716
0.6667 Remote Similarity NPC167116
0.6667 Remote Similarity NPC256012
0.6667 Remote Similarity NPC609821
0.6667 Remote Similarity NPC610965
0.6623 Remote Similarity NPC286119
0.6543 Remote Similarity NPC611658
0.6538 Remote Similarity NPC223690
0.6538 Remote Similarity NPC9532
0.642 Remote Similarity NPC212237
0.642 Remote Similarity NPC601489
0.642 Remote Similarity NPC604804
0.6341 Remote Similarity NPC24260
0.6341 Remote Similarity NPC8836
0.6029 Remote Similarity NPC135538
0.6029 Remote Similarity NPC24233
0.5926 Remote Similarity NPC254441
0.5802 Remote Similarity NPC311973
0.5802 Remote Similarity NPC239824
0.5802 Remote Similarity NPC600872
0.5775 Remote Similarity NPC104196
0.5775 Remote Similarity NPC247639
0.5775 Remote Similarity NPC25084
0.575 Remote Similarity NPC290582
0.575 Remote Similarity NPC217748
0.575 Remote Similarity NPC182052
0.575 Remote Similarity NPC271013
0.575 Remote Similarity NPC42663
0.575 Remote Similarity NPC15414
0.5732 Remote Similarity NPC601503
0.5679 Remote Similarity NPC279228
0.5679 Remote Similarity NPC609914
0.5667 Remote Similarity NPC41122
0.5667 Remote Similarity NPC318805
0.561 Remote Similarity NPC600054
0.561 Remote Similarity NPC601504
0.5604 Remote Similarity NPC60295
0.5588 Remote Similarity NPC185838
0.5543 Remote Similarity NPC201508
0.5506 Remote Similarity NPC473589
0.5376 Remote Similarity NPC175890
0.5357 Remote Similarity NPC116465
0.5325 Remote Similarity NPC30779
0.5224 Remote Similarity NPC314682
0.5222 Remote Similarity NPC480590
0.5165 Remote Similarity NPC206900
0.5147 Remote Similarity NPC213206
0.5147 Remote Similarity NPC188163
0.5147 Remote Similarity NPC328750
0.5125 Remote Similarity NPC76682
0.5125 Remote Similarity NPC10908
0.5125 Remote Similarity NPC63646
0.5125 Remote Similarity NPC317145
0.5125 Remote Similarity NPC198498
0.5125 Remote Similarity NPC115284
0.5116 Remote Similarity NPC229373
0.5106 Remote Similarity NPC191132
0.5062 Remote Similarity NPC276890
0.5056 Remote Similarity NPC605743
0.5055 Remote Similarity NPC480586

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC571951 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
0.5889 Remote Similarity NPD8054 Phase 4
0.5604 Remote Similarity NPD8053 Approved
0.527 Remote Similarity NPD4010 Discontinued
0.5147 Remote Similarity NPD4664 Clinical (unspecified phase)
0.5125 Remote Similarity NPD8099 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