Natural Product: NPC306863

Natural Product IDNPC306863
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
MYHQIVSWYXBWOC-VMPREFPWSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 10393930
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0004603] Organic oxygen compounds
      • [CHEMONTID:0000323] Organooxygen compounds
        • [CHEMONTID:0000254] Ethers
          • [CHEMONTID:0002463] Diarylethers

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 MYHQIVSWYXBWOC-VMPREFPWSA-N
Standard InCHI InChI=1S/C37H40N2O6/c1-38-14-12-24-19-31(42-4)33-21-27(24)28(38)16-22-6-9-26(10-7-22)44-37-35-25(20-34(43-5)36(37)40)13-15-39(2)29(35)17-23-8-11-30(41-3)32(18-23)45-33/h6-11,18-21,28-29,40H,12-17H2,1-5H3/t28-,29-/m0/s1
SMILES CN1CCc2cc(c3cc2[C@@H]1Cc1ccc(cc1)Oc1c2c(CCN(C)[C@H]2Cc2ccc(c(c2)O3)OC)cc(c1O)OC)OC

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   608.29 Volume:   631.71
?
Van der Waals volume.
Dense:   0.963 LogP:   3.407
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.005
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.278
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   3.0 Rigid Bonds:   42.0
TPSA:   72.86
?
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:   5.746 Fsp3:   0.351
MCE-18:   129.48
?
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:   1 PAINS Alert:   0
Colloidal aggregators:   0.996 Fluc inhibitor:   0.194
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.7
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.936
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.002 Promiscuous compounds:   0.224

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.963 MDCK Permeability:   -4.776
Pgp-inhibitor:   0.753 Pgp-substrate:   0.615
PAMPA:   0.004
?
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):   0.001
20% Bioavailability (F20%):   0.341 30% Bioavailability (F30%):   0.601
50% Bioavailability (F50%):   0.996

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.921 MRP1:   0.967
Plasma Protein Binding (PPB):   73.944% Volume Distribution (VD):   -0.172
Fu: 27.152%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.979
OATP1B3 inhibitor:   0.972 BCRP inhibitor:   0.848
BSEP inhibitor:   0.998

ADMET: Metabolism

CYP1A2-inhibitor:   1.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   1.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   1.0 CYP2C9-substrate:   0.041
CYP2D6-inhibitor:   1.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   1.0 CYP3A4-substrate:   0.056
CYP2B6-substrate:   1.0 CYP2C8-inhibitor:   0.024
HLM stability:   0.43
?
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):  5.81 Half-life (T1/2):  3.322

ADMET: Toxicity

hERG Blockers:  0.81 hERG Blockers (10um):  0.812
Human Hepatotoxicity (H-HT):  0.56 Drug-induced Liver Injury (DILI):  0.009
AMES Toxicity:  0.668 Rat Oral Acute Toxicity:  0.626
Maximum Recommended Daily Dose:  0.954 Skin Sensitization:  0.663
Carcinogencity:  0.794 Eye Corrosion:  0.0
Eye Irritation:  0.01 Respiratory Toxicity:  0.785
Drug-induced Neurotoxicity:  0.827 Ototoxicity:  0.505
Hematotoxicity:  0.079 Drug-induced Nephrotoxicity:  0.261
Genotoxicity:  0.304 RPMI-8226 Immunitoxicity:  0.076
A549 Cytotoxicity:  0.147 Hek293 Cytotoxicity:  0.628
BCF:   1.891
?
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:   4.405
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.748
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.131
?
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
NPO12477 Dodonaea viscosa Species Sapindaceae Eukaryota n.a. n.a. n.a. PMID[19719093]
NPO12477 Dodonaea viscosa Species Sapindaceae Eukaryota n.a. n.a. n.a. PMID[22512738]
NPO12477 Dodonaea viscosa Species Sapindaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO13978 Cissampelos pareira Species Menispermaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO12477 Dodonaea viscosa Species Sapindaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO13978 Cissampelos pareira Species Menispermaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO12477 Dodonaea viscosa Species Sapindaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO13978 Cissampelos pareira Species Menispermaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO13978 Cissampelos pareira Species Menispermaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO12477 Dodonaea viscosa Species Sapindaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO13978 Cissampelos pareira Species Menispermaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO12477 Dodonaea viscosa Species Sapindaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO13978 Cissampelos pareira Species Menispermaceae 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 NPC306863 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 NPC279228
0.9552 High Similarity NPC290582
0.9552 High Similarity NPC217748
0.9552 High Similarity NPC182052
0.9552 High Similarity NPC271013
0.9552 High Similarity NPC42663
0.9552 High Similarity NPC15414
0.8378 Intermediate Similarity NPC290005
0.8133 Intermediate Similarity NPC181796
0.8133 Intermediate Similarity NPC54654
0.8133 Intermediate Similarity NPC7715
0.8133 Intermediate Similarity NPC328155
0.8133 Intermediate Similarity NPC222661
0.8133 Intermediate Similarity NPC285931
0.7763 Intermediate Similarity NPC229373
0.7746 Intermediate Similarity NPC76682
0.7746 Intermediate Similarity NPC10908
0.7746 Intermediate Similarity NPC63646
0.7746 Intermediate Similarity NPC317145
0.7746 Intermediate Similarity NPC198498
0.7746 Intermediate Similarity NPC115284
0.7733 Intermediate Similarity NPC311973
0.7727 Intermediate Similarity NPC104196
0.75 Intermediate Similarity NPC239824
0.7403 Intermediate Similarity NPC116465
0.7397 Intermediate Similarity NPC276890
0.7297 Intermediate Similarity NPC603603
0.7237 Intermediate Similarity NPC73492
0.7237 Intermediate Similarity NPC299990
0.7206 Intermediate Similarity NPC247639
0.7206 Intermediate Similarity NPC25084
0.72 Intermediate Similarity NPC12424
0.72 Intermediate Similarity NPC129518
0.72 Intermediate Similarity NPC251580
0.7179 Intermediate Similarity NPC254441
0.7105 Intermediate Similarity NPC603853
0.7024 Intermediate Similarity NPC11296
0.7024 Intermediate Similarity NPC274661
0.7013 Intermediate Similarity NPC480587
0.6962 Remote Similarity NPC185639
0.6962 Remote Similarity NPC251735
0.6962 Remote Similarity NPC49075
0.6962 Remote Similarity NPC599951
0.6951 Remote Similarity NPC275680
0.6951 Remote Similarity NPC22115
0.6824 Remote Similarity NPC82457
0.675 Remote Similarity NPC223690
0.675 Remote Similarity NPC9532
0.6548 Remote Similarity NPC24260
0.6548 Remote Similarity NPC8836
0.6429 Remote Similarity NPC212237
0.642 Remote Similarity NPC286119
0.641 Remote Similarity NPC227060
0.6353 Remote Similarity NPC611658
0.6265 Remote Similarity NPC274716
0.6265 Remote Similarity NPC167116
0.6265 Remote Similarity NPC609821
0.6184 Remote Similarity NPC30779
0.6136 Remote Similarity NPC480586
0.6136 Remote Similarity NPC480590
0.6087 Remote Similarity NPC175890
0.6076 Remote Similarity NPC41376
0.6053 Remote Similarity NPC317272
0.6053 Remote Similarity NPC268503
0.6026 Remote Similarity NPC256012
0.6026 Remote Similarity NPC610965
0.5949 Remote Similarity NPC480592
0.593 Remote Similarity NPC16357
0.593 Remote Similarity NPC302245
0.593 Remote Similarity NPC195538
0.5926 Remote Similarity NPC240841
0.5862 Remote Similarity NPC243454
0.5833 Remote Similarity NPC317439
0.5732 Remote Similarity NPC610959
0.5714 Remote Similarity NPC608819
0.5682 Remote Similarity NPC475479
0.5682 Remote Similarity NPC323537
0.5647 Remote Similarity NPC475393
0.5638 Remote Similarity NPC48490
0.5618 Remote Similarity NPC485712
0.5532 Remote Similarity NPC41122
0.5532 Remote Similarity NPC318805
0.5495 Remote Similarity NPC10871
0.5495 Remote Similarity NPC239584
0.5476 Remote Similarity NPC480591
0.5465 Remote Similarity NPC600872
0.5429 Remote Similarity NPC213206
0.5429 Remote Similarity NPC188163
0.5429 Remote Similarity NPC328750
0.5405 Remote Similarity NPC135538
0.5405 Remote Similarity NPC24233
0.5376 Remote Similarity NPC206900
0.5376 Remote Similarity NPC281581
0.5333 Remote Similarity NPC139783
0.5333 Remote Similarity NPC65312
0.5333 Remote Similarity NPC601489
0.5333 Remote Similarity NPC604804
0.5333 Remote Similarity NPC611798
0.5319 Remote Similarity NPC485711
0.5287 Remote Similarity NPC600054
0.5287 Remote Similarity NPC601504
0.5286 Remote Similarity NPC314682
0.5275 Remote Similarity NPC249996
0.5213 Remote Similarity NPC254581
0.5205 Remote Similarity NPC185838
0.5109 Remote Similarity NPC605743
0.5102 Remote Similarity NPC201508
0.5098 Remote Similarity NPC82056
0.5067 Remote Similarity NPC147390
0.5067 Remote Similarity NPC428
0.5056 Remote Similarity NPC601503
0.5053 Remote Similarity NPC473589
0.5052 Remote Similarity NPC475597

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC306863 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
0.7746 Intermediate Similarity NPD8099 Discontinued
0.7333 Intermediate Similarity NPD8156 Discontinued
0.7013 Intermediate Similarity NPD8095 Phase 1
0.6087 Remote Similarity NPD8054 Phase 4
0.5429 Remote Similarity NPD4664 Clinical (unspecified phase)
0.5155 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