Natural Product: NPC150168

Natural Product IDNPC150168
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
UFSZVMQWXGMGET-HOFJZWJUSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 49798966
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000002] Organoheterocyclic compounds
      • [CHEMONTID:0000123] Benzopyrans
        • [CHEMONTID:0003410] 1-benzopyrans
          • [CHEMONTID:0002817] Dibenzopyrans
            • [CHEMONTID:0000200] Xanthenes
              • [CHEMONTID:0000204] Xanthones
                • [CHEMONTID:0003519] 8-prenylated xanthones

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 UFSZVMQWXGMGET-HOFJZWJUSA-N
Standard InCHI InChI=1S/C34H42O6/c1-20(2)10-8-12-22(5)14-16-24-27(39-7)19-29-31(33(24)37)34(38)30-25(32(36)26(35)18-28(30)40-29)17-15-23(6)13-9-11-21(3)4/h10-11,14-15,18-19,35-37H,8-9,12-13,16-17H2,1-7H3/b22-14+,23-15+
SMILES CC(=CCC/C(=C/Cc1c(cc2c(c1O)c(=O)c1c(C/C=C(C)/CCC=C(C)C)c(c(cc1o2)O)O)OC)/C)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   546.3 Volume:   594.691
?
Van der Waals volume.
Dense:   0.919 LogP:   9.478
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   5.501
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.083
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The logarithm of aqueous solubility value.
Rotatable Bonds:   11.0 Rigid Bonds:   21.0
TPSA:   100.13
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Topological Polar Surface Area.
H-Bond Acceptor:   6.0
H-Bond Donor:   3.0 Rings:   3.0
Heavy Atoms:   6.0

MedChem Properties

QED Drug-Likeness Score:   0.127 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   3.471 Fsp3:   0.382
MCE-18:   24.0
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MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Accepted
Pfizer Rule:   Rejected GSK Rule:   Accepted
Golden Triangle Rule:   Accepted BMS Rule:   0
Chelating Alert:   1 PAINS Alert:   1
Colloidal aggregators:   0.999 Fluc inhibitor:   0.327
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.904
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.791
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.437 Promiscuous compounds:   0.124

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.06 MDCK Permeability:   -4.679
Pgp-inhibitor:   1.0 Pgp-substrate:   0.002
PAMPA:   0.0
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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):   0.013
20% Bioavailability (F20%):   0.956 30% Bioavailability (F30%):   0.999
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.787
Plasma Protein Binding (PPB):   97.482% Volume Distribution (VD):   0.159
Fu: 2.123%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.994
BSEP inhibitor:   0.998

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   1.0
CYP2C19-inhibitor:   1.0 CYP2C19-substrate:   0.998
CYP2C9-inhibitor:   0.813 CYP2C9-substrate:   0.004
CYP2D6-inhibitor:   0.978 CYP2D6-substrate:   0.955
CYP3A4-inhibitor:   0.005 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   1.0
?
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):  7.599 Half-life (T1/2):  1.068

ADMET: Toxicity

hERG Blockers:  0.125 hERG Blockers (10um):  0.676
Human Hepatotoxicity (H-HT):  0.845 Drug-induced Liver Injury (DILI):  0.972
AMES Toxicity:  0.072 Rat Oral Acute Toxicity:  0.767
Maximum Recommended Daily Dose:  0.683 Skin Sensitization:  0.991
Carcinogencity:  0.376 Eye Corrosion:  0.0
Eye Irritation:  0.418 Respiratory Toxicity:  0.98
Drug-induced Neurotoxicity:  0.155 Ototoxicity:  0.69
Hematotoxicity:  0.385 Drug-induced Nephrotoxicity:  0.269
Genotoxicity:  0.911 RPMI-8226 Immunitoxicity:  0.088
A549 Cytotoxicity:  0.645 Hek293 Cytotoxicity:  0.516
BCF:   2.046
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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:   5.889
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   7.702
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   7.814
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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
NPO32808 cratoxylum formosum ssp. pruniflorum Species Hypericaceae Eukaryota stems n.a. n.a. PMID[20608716]
NPO22337 Garcinia dulcis Species Clusiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO32808 cratoxylum formosum ssp. pruniflorum Species Hypericaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO22337 Garcinia dulcis Species Clusiaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO22337 Garcinia dulcis Species Clusiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO22337 Garcinia dulcis Species Clusiaceae 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 NPC150168 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
0.8308 Intermediate Similarity NPC604618
0.6986 Remote Similarity NPC236796
0.6533 Remote Similarity NPC488731
0.6389 Remote Similarity NPC14353
0.6389 Remote Similarity NPC56085
0.6154 Remote Similarity NPC152659
0.6071 Remote Similarity NPC39091
0.6 Remote Similarity NPC40491
0.6 Remote Similarity NPC278052
0.5833 Remote Similarity NPC7483
0.5833 Remote Similarity NPC74766
0.5811 Remote Similarity NPC165977
0.575 Remote Similarity NPC300727
0.5616 Remote Similarity NPC142339
0.561 Remote Similarity NPC239752
0.5513 Remote Similarity NPC475886
0.5432 Remote Similarity NPC474287
0.5412 Remote Similarity NPC479155
0.5366 Remote Similarity NPC236521
0.5325 Remote Similarity NPC45146
0.5325 Remote Similarity NPC266499
0.5316 Remote Similarity NPC474186
0.5309 Remote Similarity NPC32694
0.5301 Remote Similarity NPC474351
0.5294 Remote Similarity NPC206153
0.5294 Remote Similarity NPC271629
0.527 Remote Similarity NPC89474
0.5244 Remote Similarity NPC475883
0.5244 Remote Similarity NPC474187
0.5185 Remote Similarity NPC474350
0.5181 Remote Similarity NPC262286
0.5169 Remote Similarity NPC479158
0.5119 Remote Similarity NPC117854
0.5119 Remote Similarity NPC170245
0.5063 Remote Similarity NPC152951
0.506 Remote Similarity NPC320359

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC150168 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
NPD

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