Natural Product: NPC589719

Natural Product IDNPC589719
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
9,10,25-trimethoxy-15,30-dimethyl-7,23-dioxa-15,30-diazaheptacyclo[22.6.2.2^{3,6}.1^{8,12}.1^{18,22}.0^{27,31}.0^{16,34}]hexatriaconta-3,5,8,10,12(34),18,20,22(33),24(32),25,27(31),35-dodecaen-21-ol
IUPAC Name 9,10,25-trimethoxy-15,30-dimethyl-7,23-dioxa-15,30-diazaheptacyclo[22.6.2.2^{3,6}.1^{8,12}.1^{18,22}.0^{27,31}.0^{16,34}]hexatriaconta-3,5,8,10,12(34),18,20,22(33),24(32),25,27(31),35-dodecaen-21-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 DGAIZFTYTKDOEN-UHFFFAOYSA-N
Standard InCHI InChI=1S/C37H40N2O6/c1-38-14-12-24-19-32(41-3)33-21-27(24)28(38)16-22-6-9-26(10-7-22)44-37-35-25(20-34(42-4)36(37)43-5)13-15-39(2)29(35)17-23-8-11-30(40)31(18-23)45-33/h6-11,18-21,28-29,40H,12-17H2,1-5H3
SMILES COC1=CC2=C3C=C1OC1=CC(=CC=C1O)CC1C4=C(C=C(OC)C(OC)=C4OC4=CC=C(C=C4)CC3N(C)CC2)CCN1C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   608.29 Volume:   631.71
?
Van der Waals volume.
Dense:   0.963 LogP:   3.319
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.154
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.328
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The logarithm of aqueous solubility value.
Rotatable Bonds:   3.0 Rigid Bonds:   42.0
TPSA:   72.86
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Topological Polar Surface Area.
H-Bond Acceptor:   8.0
H-Bond Donor:   1.0 Rings:   8.0
Heavy Atoms:   8.0

MedChem Properties

QED Drug-Likeness Score:   0.271 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.745 Fsp3:   0.351
MCE-18:   129.48
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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:   Accepted GSK Rule:   Accepted
Golden Triangle Rule:   Accepted BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.994 Fluc inhibitor:   0.005
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.75
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.922
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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:   0.152

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.82 MDCK Permeability:   -4.765
Pgp-inhibitor:   0.344 Pgp-substrate:   0.272
PAMPA:   0.008
?
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%):   0.146 30% Bioavailability (F30%):   0.093
50% Bioavailability (F50%):   0.98

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.979 MRP1:   0.994
Plasma Protein Binding (PPB):   72.888% Volume Distribution (VD):   0.072
Fu: 26.445%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.125
OATP1B3 inhibitor:   0.967 BCRP inhibitor:   0.831
BSEP inhibitor:   1.0

ADMET: Metabolism

CYP1A2-inhibitor:   1.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   1.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.947 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   1.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.996 CYP3A4-substrate:   0.226
CYP2B6-substrate:   0.989 CYP2C8-inhibitor:   0.0
HLM stability:   0.032
?
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):  10.77 Half-life (T1/2):  2.421

ADMET: Toxicity

hERG Blockers:  0.906 hERG Blockers (10um):  0.888
Human Hepatotoxicity (H-HT):  0.284 Drug-induced Liver Injury (DILI):  0.001
AMES Toxicity:  0.656 Rat Oral Acute Toxicity:  0.603
Maximum Recommended Daily Dose:  0.929 Skin Sensitization:  0.952
Carcinogencity:  0.787 Eye Corrosion:  0.0
Eye Irritation:  0.001 Respiratory Toxicity:  0.954
Drug-induced Neurotoxicity:  0.408 Ototoxicity:  0.879
Hematotoxicity:  0.029 Drug-induced Nephrotoxicity:  0.032
Genotoxicity:  0.137 RPMI-8226 Immunitoxicity:  0.035
A549 Cytotoxicity:  0.237 Hek293 Cytotoxicity:  0.842
BCF:   1.782
?
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:   4.36
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.013
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.126
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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
NPO18410 Cyclea racemosa Species Menispermaceae Eukaryota roots n.a. n.a. PMID[20593839]
NPO40796 Berberis brevissima Species Berberidaceae Eukaryota n.a. n.a. n.a. PMID[32364734]
NPO40796 Berberis brevissima Species Berberidaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO47356 Chondodendron platyphyllum n.a. n.a. n.a. n.a. n.a. n.a. Database[COCONUT]
NPO18410 Cyclea racemosa Species Menispermaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO52571 Isolona ghesquireina Genus Annonaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO22739 Uvaria ovata Species Annonaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO18410 Cyclea racemosa Species Menispermaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO18410 Cyclea racemosa Species Menispermaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO18410 Cyclea racemosa Species Menispermaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO18410 Cyclea racemosa Species Menispermaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO22739 Uvaria ovata Species Annonaceae 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 NPC589719 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
1.0 High Similarity NPC223690
1.0 High Similarity NPC9532
0.9429 High Similarity NPC185639
0.9429 High Similarity NPC251735
0.9429 High Similarity NPC49075
0.9429 High Similarity NPC599951
0.8312 Intermediate Similarity NPC24260
0.7949 Intermediate Similarity NPC212237
0.7922 Intermediate Similarity NPC290005
0.7848 Intermediate Similarity NPC611658
0.7792 Intermediate Similarity NPC274716
0.7792 Intermediate Similarity NPC167116
0.7792 Intermediate Similarity NPC609821
0.7778 Intermediate Similarity NPC76682
0.7778 Intermediate Similarity NPC10908
0.7778 Intermediate Similarity NPC63646
0.7778 Intermediate Similarity NPC317145
0.7778 Intermediate Similarity NPC198498
0.7778 Intermediate Similarity NPC115284
0.7692 Intermediate Similarity NPC181796
0.7692 Intermediate Similarity NPC54654
0.7692 Intermediate Similarity NPC7715
0.7692 Intermediate Similarity NPC328155
0.7692 Intermediate Similarity NPC222661
0.7692 Intermediate Similarity NPC285931
0.7639 Intermediate Similarity NPC256012
0.7639 Intermediate Similarity NPC610965
0.7561 Intermediate Similarity NPC480586
0.75 Intermediate Similarity NPC480587
0.747 Intermediate Similarity NPC206900
0.7465 Intermediate Similarity NPC317272
0.7465 Intermediate Similarity NPC268503
0.7432 Intermediate Similarity NPC276890
0.7308 Intermediate Similarity NPC239824
0.7143 Intermediate Similarity NPC480590
0.7089 Intermediate Similarity NPC311973
0.7059 Intermediate Similarity NPC317439
0.6962 Remote Similarity NPC608819
0.6951 Remote Similarity NPC16357
0.6951 Remote Similarity NPC302245
0.6835 Remote Similarity NPC290582
0.6835 Remote Similarity NPC217748
0.6835 Remote Similarity NPC73492
0.6835 Remote Similarity NPC182052
0.6835 Remote Similarity NPC271013
0.6835 Remote Similarity NPC299990
0.6835 Remote Similarity NPC42663
0.6835 Remote Similarity NPC15414
0.6818 Remote Similarity NPC41122
0.6818 Remote Similarity NPC318805
0.6795 Remote Similarity NPC240841
0.6795 Remote Similarity NPC610959
0.679 Remote Similarity NPC254441
0.679 Remote Similarity NPC116465
0.6786 Remote Similarity NPC8836
0.675 Remote Similarity NPC279228
0.6667 Remote Similarity NPC227060
0.6623 Remote Similarity NPC480592
0.6582 Remote Similarity NPC12424
0.6582 Remote Similarity NPC129518
0.6582 Remote Similarity NPC251580
0.65 Remote Similarity NPC603853
0.6489 Remote Similarity NPC475654
0.6386 Remote Similarity NPC601503
0.6301 Remote Similarity NPC247639
0.6301 Remote Similarity NPC25084
0.6265 Remote Similarity NPC600054
0.6265 Remote Similarity NPC601504
0.625 Remote Similarity NPC603603
0.6118 Remote Similarity NPC229373
0.6098 Remote Similarity NPC480591
0.5909 Remote Similarity NPC601489
0.5909 Remote Similarity NPC604804
0.5851 Remote Similarity NPC60295
0.5851 Remote Similarity NPC191132
0.5843 Remote Similarity NPC605743
0.5789 Remote Similarity NPC175890
0.5789 Remote Similarity NPC201508
0.5745 Remote Similarity NPC85381
0.5732 Remote Similarity NPC41376
0.573 Remote Similarity NPC139783
0.573 Remote Similarity NPC65312
0.573 Remote Similarity NPC475479
0.573 Remote Similarity NPC323537
0.573 Remote Similarity NPC611798
0.5667 Remote Similarity NPC485712
0.5667 Remote Similarity NPC275680
0.5667 Remote Similarity NPC22115
0.5618 Remote Similarity NPC195538
0.5556 Remote Similarity NPC243454
0.5543 Remote Similarity NPC10871
0.5517 Remote Similarity NPC286119
0.5479 Remote Similarity NPC185838
0.5455 Remote Similarity NPC104196
0.5432 Remote Similarity NPC30779
0.5263 Remote Similarity NPC135538
0.5263 Remote Similarity NPC24233
0.5263 Remote Similarity NPC82457
0.5258 Remote Similarity NPC475597
0.5204 Remote Similarity NPC234318
0.5169 Remote Similarity NPC112248
0.5169 Remote Similarity NPC600872
0.5139 Remote Similarity NPC314682
0.5104 Remote Similarity NPC11296
0.5104 Remote Similarity NPC281581
0.5104 Remote Similarity NPC254581
0.5104 Remote Similarity NPC274661
0.5068 Remote Similarity NPC213206
0.5068 Remote Similarity NPC188163
0.5068 Remote Similarity NPC328750
0.5052 Remote Similarity NPC485711

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC589719 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
0.7778 Intermediate Similarity NPD8099 Discontinued
0.7143 Intermediate Similarity NPD8156 Discontinued
0.6556 Remote Similarity NPD8053 Approved
0.642 Remote Similarity NPD8095 Phase 1
0.6129 Remote Similarity NPD8054 Phase 4
0.5068 Remote Similarity NPD4664 Clinical (unspecified phase)

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