Natural Product: NPC156842

Natural Product IDNPC156842
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
GEZHEQNLKAOMCA-LPYMAVHISA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 5380091
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:0003521] Pyranoxanthones

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 GEZHEQNLKAOMCA-LPYMAVHISA-N
Standard InCHI InChI=1S/C38H44O8/c1-20(2)10-9-15-36(8)16-14-24-29(39)28-30(40)26-18-23-19-27-35(6,7)46-37(33(23)41,17-13-22(5)34(42)43)38(26,27)45-32(28)25(31(24)44-36)12-11-21(3)4/h10-11,13-14,16,18,23,27,39H,9,12,15,17,19H2,1-8H3,(H,42,43)/b22-13+
SMILES CC(=CCCC1(C)C=Cc2c(c3C(=O)C4=CC5CC6C(C)(C)OC(C/C=C(C)/C(=O)O)(C5=O)C46Oc3c(CC=C(C)C)c2O1)O)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   628.3 Volume:   655.786
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Van der Waals volume.
Dense:   0.958 LogP:   6.882
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.577
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.432
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The logarithm of aqueous solubility value.
Rotatable Bonds:   8.0 Rigid Bonds:   33.0
TPSA:   119.36
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Topological Polar Surface Area.
H-Bond Acceptor:   8.0
H-Bond Donor:   2.0 Rings:   7.0
Heavy Atoms:   8.0

MedChem Properties

QED Drug-Likeness Score:   0.228 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.659 Fsp3:   0.5
MCE-18:   191.053
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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:   0 PAINS Alert:   0
Colloidal aggregators:   0.945 Fluc inhibitor:   0.173
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.68
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.963
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.128 Promiscuous compounds:   0.078

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.06 MDCK Permeability:   -4.699
Pgp-inhibitor:   0.584 Pgp-substrate:   0.0
PAMPA:   0.99
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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):   0.048
20% Bioavailability (F20%):   0.898 30% Bioavailability (F30%):   0.94
50% Bioavailability (F50%):   0.996

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.998
Plasma Protein Binding (PPB):   96.899% Volume Distribution (VD):   0.029
Fu: 2.686%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.506 BCRP inhibitor:   0.009
BSEP inhibitor:   0.98

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.998
CYP2C19-inhibitor:   0.053 CYP2C19-substrate:   1.0
CYP2C9-inhibitor:   0.195 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.015
CYP3A4-inhibitor:   0.025 CYP3A4-substrate:   0.694
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   1.0
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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):  2.013 Half-life (T1/2):  1.295

ADMET: Toxicity

hERG Blockers:  0.149 hERG Blockers (10um):  0.266
Human Hepatotoxicity (H-HT):  0.897 Drug-induced Liver Injury (DILI):  0.695
AMES Toxicity:  0.4 Rat Oral Acute Toxicity:  0.908
Maximum Recommended Daily Dose:  0.842 Skin Sensitization:  0.769
Carcinogencity:  0.173 Eye Corrosion:  0.0
Eye Irritation:  0.0 Respiratory Toxicity:  0.884
Drug-induced Neurotoxicity:  0.176 Ototoxicity:  0.971
Hematotoxicity:  0.425 Drug-induced Nephrotoxicity:  0.759
Genotoxicity:  0.998 RPMI-8226 Immunitoxicity:  0.122
A549 Cytotoxicity:  0.234 Hek293 Cytotoxicity:  0.504
BCF:   1.691
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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:   5.198
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   7.289
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   6.787
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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
NPO13310 Garcinia hanburyi Species Clusiaceae Eukaryota n.a. latex n.a. PMID[17117343]
NPO13310 Garcinia hanburyi Species Clusiaceae Eukaryota n.a. fruit n.a. PMID[17117343]
NPO13310 Garcinia hanburyi Species Clusiaceae Eukaryota resin n.a. n.a. PMID[19072548]
NPO13310 Garcinia hanburyi Species Clusiaceae Eukaryota n.a. n.a. n.a. PMID[21486005]
NPO13310 Garcinia hanburyi Species Clusiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO13310 Garcinia hanburyi Species Clusiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO13310 Garcinia hanburyi Species Clusiaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO13310 Garcinia hanburyi 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 NPC156842 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 NPC158329
1.0 High Similarity NPC55422
1.0 High Similarity NPC75141
0.9 High Similarity NPC476146
0.8621 High Similarity NPC40089
0.8621 High Similarity NPC47634
0.7708 Intermediate Similarity NPC476229
0.7708 Intermediate Similarity NPC476152
0.75 Intermediate Similarity NPC189689
0.7191 Intermediate Similarity NPC131578
0.7191 Intermediate Similarity NPC611483
0.71 Intermediate Similarity NPC41598
0.701 Intermediate Similarity NPC611384
0.6979 Remote Similarity NPC610447
0.697 Remote Similarity NPC476210
0.6832 Remote Similarity NPC476216
0.6809 Remote Similarity NPC223413
0.6571 Remote Similarity NPC162248
0.6337 Remote Similarity NPC102810
0.5922 Remote Similarity NPC476199
0.5657 Remote Similarity NPC286422
0.5657 Remote Similarity NPC603867
0.5644 Remote Similarity NPC476255
0.5591 Remote Similarity NPC94796
0.5591 Remote Similarity NPC611777
0.5556 Remote Similarity NPC601073
0.5556 Remote Similarity NPC609328
0.5357 Remote Similarity NPC476139
0.5306 Remote Similarity NPC608101
0.5155 Remote Similarity NPC607281
0.5047 Remote Similarity NPC476159

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC156842 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