Natural Product: NPC575236

Natural Product IDNPC575236
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-yl) acetate
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-yl) acetate
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 PXGMERUJAUULHY-UHFFFAOYSA-N
Standard InCHI InChI=1S/C39H42N2O7/c1-23(42)46-32-12-9-25-18-31-37-27(14-16-41(31)3)21-36(44-5)38(45-6)39(37)47-28-10-7-24(8-11-28)17-30-29-22-35(48-34(32)19-25)33(43-4)20-26(29)13-15-40(30)2/h7-12,19-22,30-31H,13-18H2,1-6H3
SMILES COC1=CC2=C3C=C1OC1=CC(=CC=C1OC(C)=O)CC1C4=C(C=C(OC)C(OC)=C4OC4=CC=C(C=C4)CC3N(C)CC2)CCN1C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   650.3 Volume:   672.456
?
Van der Waals volume.
Dense:   0.967 LogP:   3.3
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.231
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.453
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   5.0 Rigid Bonds:   43.0
TPSA:   78.93
?
Topological Polar Surface Area.
H-Bond Acceptor:   9.0
H-Bond Donor:   0.0 Rings:   8.0
Heavy Atoms:   9.0

MedChem Properties

QED Drug-Likeness Score:   0.17 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.823 Fsp3:   0.359
MCE-18:   132.075
?
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:   0 PAINS Alert:   0
Colloidal aggregators:   0.988 Fluc inhibitor:   0.096
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.578
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.793
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.001 Promiscuous compounds:   0.147

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.678 MDCK Permeability:   -4.703
Pgp-inhibitor:   0.728 Pgp-substrate:   0.336
PAMPA:   0.003
?
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%):   0.018 30% Bioavailability (F30%):   0.022
50% Bioavailability (F50%):   0.948

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.998 MRP1:   0.994
Plasma Protein Binding (PPB):   79.279% Volume Distribution (VD):   0.331
Fu: 21.687%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.185
OATP1B3 inhibitor:   0.983 BCRP inhibitor:   0.564
BSEP inhibitor:   1.0

ADMET: Metabolism

CYP1A2-inhibitor:   1.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   1.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.527 CYP2C9-substrate:   0.023
CYP2D6-inhibitor:   0.976 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.446 CYP3A4-substrate:   0.009
CYP2B6-substrate:   0.769 CYP2C8-inhibitor:   0.008
HLM stability:   0.404
?
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):  7.833 Half-life (T1/2):  1.55

ADMET: Toxicity

hERG Blockers:  0.82 hERG Blockers (10um):  0.801
Human Hepatotoxicity (H-HT):  0.308 Drug-induced Liver Injury (DILI):  0.005
AMES Toxicity:  0.625 Rat Oral Acute Toxicity:  0.641
Maximum Recommended Daily Dose:  0.882 Skin Sensitization:  0.971
Carcinogencity:  0.691 Eye Corrosion:  0.0
Eye Irritation:  0.0 Respiratory Toxicity:  0.893
Drug-induced Neurotoxicity:  0.5 Ototoxicity:  0.842
Hematotoxicity:  0.069 Drug-induced Nephrotoxicity:  0.02
Genotoxicity:  0.156 RPMI-8226 Immunitoxicity:  0.027
A549 Cytotoxicity:  0.294 Hek293 Cytotoxicity:  0.74
BCF:   1.612
?
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:   4.364
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.92
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.248
?
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
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]

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 NPC575236 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 NPC480587
0.8657 High Similarity NPC76682
0.8657 High Similarity NPC10908
0.8657 High Similarity NPC63646
0.8657 High Similarity NPC317145
0.8657 High Similarity NPC198498
0.8657 High Similarity NPC115284
0.8261 Intermediate Similarity NPC276890
0.7568 Intermediate Similarity NPC73492
0.7568 Intermediate Similarity NPC299990
0.75 Intermediate Similarity NPC223690
0.75 Intermediate Similarity NPC9532
0.7397 Intermediate Similarity NPC227060
0.7385 Intermediate Similarity NPC317439
0.7368 Intermediate Similarity NPC239824
0.7297 Intermediate Similarity NPC12424
0.7297 Intermediate Similarity NPC129518
0.7297 Intermediate Similarity NPC251580
0.7273 Intermediate Similarity NPC185639
0.7273 Intermediate Similarity NPC251735
0.7273 Intermediate Similarity NPC49075
0.7273 Intermediate Similarity NPC599951
0.72 Intermediate Similarity NPC603853
0.7059 Intermediate Similarity NPC247639
0.7059 Intermediate Similarity NPC25084
0.7013 Intermediate Similarity NPC279228
0.6923 Remote Similarity NPC311973
0.6883 Remote Similarity NPC290582
0.6883 Remote Similarity NPC217748
0.6883 Remote Similarity NPC182052
0.6883 Remote Similarity NPC271013
0.6883 Remote Similarity NPC42663
0.6883 Remote Similarity NPC15414
0.6835 Remote Similarity NPC116465
0.6588 Remote Similarity NPC480586
0.6588 Remote Similarity NPC480590
0.6429 Remote Similarity NPC24260
0.642 Remote Similarity NPC254441
0.6364 Remote Similarity NPC41376
0.631 Remote Similarity NPC475479
0.631 Remote Similarity NPC323537
0.6235 Remote Similarity NPC485712
0.619 Remote Similarity NPC16357
0.619 Remote Similarity NPC302245
0.619 Remote Similarity NPC195538
0.6145 Remote Similarity NPC229373
0.6118 Remote Similarity NPC212237
0.6118 Remote Similarity NPC243454
0.6076 Remote Similarity NPC603603
0.6047 Remote Similarity NPC611658
0.5952 Remote Similarity NPC274716
0.5952 Remote Similarity NPC167116
0.5952 Remote Similarity NPC609821
0.5934 Remote Similarity NPC475597
0.5909 Remote Similarity NPC10871
0.5882 Remote Similarity NPC181796
0.5882 Remote Similarity NPC290005
0.5882 Remote Similarity NPC54654
0.5882 Remote Similarity NPC7715
0.5882 Remote Similarity NPC328155
0.5882 Remote Similarity NPC222661
0.5882 Remote Similarity NPC285931
0.5604 Remote Similarity NPC206900
0.5604 Remote Similarity NPC281581
0.5543 Remote Similarity NPC485711
0.5529 Remote Similarity NPC475393
0.5513 Remote Similarity NPC317272
0.5513 Remote Similarity NPC268503
0.5507 Remote Similarity NPC213206
0.5507 Remote Similarity NPC188163
0.5507 Remote Similarity NPC328750
0.55 Remote Similarity NPC256012
0.55 Remote Similarity NPC610965
0.5443 Remote Similarity NPC30779
0.5385 Remote Similarity NPC239584
0.5362 Remote Similarity NPC314682
0.5357 Remote Similarity NPC480591
0.5349 Remote Similarity NPC286119
0.5349 Remote Similarity NPC112248
0.5333 Remote Similarity NPC249996
0.5269 Remote Similarity NPC82457
0.5263 Remote Similarity NPC41122
0.5263 Remote Similarity NPC318805
0.5233 Remote Similarity NPC608819
0.5165 Remote Similarity NPC8836
0.5111 Remote Similarity NPC302275
0.5106 Remote Similarity NPC11296
0.5106 Remote Similarity NPC274661
0.5065 Remote Similarity NPC104196
0.506 Remote Similarity NPC480592
0.5059 Remote Similarity NPC240841
0.5055 Remote Similarity NPC139783
0.5055 Remote Similarity NPC65312
0.5055 Remote Similarity NPC611798
0.505 Remote Similarity NPC475654

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC575236 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
0.8657 High Similarity NPD8099 Discontinued
0.8169 Intermediate Similarity NPD8156 Discontinued
0.7105 Intermediate Similarity NPD8095 Phase 1
0.5507 Remote Similarity NPD4664 Clinical (unspecified phase)
0.5052 Remote Similarity NPD8053 Approved

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