Natural Product: NPC474351

Natural Product IDNPC474351
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Di-O-Butylmangostin
IUPAC Name 3,6-dibutoxy-1-hydroxy-7-methoxy-2,8-bis(3-methylbut-2-enyl)xanthen-9-one
Synonyms Di-O-Butylmangostin
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL465560
PubChem CID 10768348
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 YJECLZOANRGWIU-UHFFFAOYSA-N
Standard InCHI InChI=1S/C32H42O6/c1-8-10-16-36-24-18-26-29(30(33)22(24)14-12-20(3)4)31(34)28-23(15-13-21(5)6)32(35-7)27(19-25(28)38-26)37-17-11-9-2/h12-13,18-19,33H,8-11,14-17H2,1-7H3
SMILES CCCCOc1cc2oc3cc(OCCCC)c(c(c3c(=O)c2c(c1CC=C(C)C)O)CC=C(C)C)OC

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   522.3 Volume:   565.372
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Van der Waals volume.
Dense:   0.924 LogP:   8.641
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   5.168
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -6.238
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The logarithm of aqueous solubility value.
Rotatable Bonds:   13.0 Rigid Bonds:   19.0
TPSA:   78.13
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Topological Polar Surface Area.
H-Bond Acceptor:   6.0
H-Bond Donor:   1.0 Rings:   3.0
Heavy Atoms:   6.0

MedChem Properties

QED Drug-Likeness Score:   0.139 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   3.125 Fsp3:   0.469
MCE-18:   22.0
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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:   0 PAINS Alert:   0
Colloidal aggregators:   0.994 Fluc inhibitor:   0.267
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.964
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.809
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.152 Promiscuous compounds:   0.151

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.666 MDCK Permeability:   -4.669
Pgp-inhibitor:   1.0 Pgp-substrate:   0.211
PAMPA:   0.047
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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):   0.194
20% Bioavailability (F20%):   0.922 30% Bioavailability (F30%):   0.997
50% Bioavailability (F50%):   0.99

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.913
Plasma Protein Binding (PPB):   96.968% Volume Distribution (VD):   0.334
Fu: 3.507%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.997
OATP1B3 inhibitor:   0.994 BCRP inhibitor:   0.999
BSEP inhibitor:   1.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   1.0
CYP2C19-inhibitor:   1.0 CYP2C19-substrate:   1.0
CYP2C9-inhibitor:   0.129 CYP2C9-substrate:   0.319
CYP2D6-inhibitor:   0.229 CYP2D6-substrate:   0.275
CYP3A4-inhibitor:   0.996 CYP3A4-substrate:   1.0
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):  7.197 Half-life (T1/2):  0.549

ADMET: Toxicity

hERG Blockers:  0.242 hERG Blockers (10um):  0.73
Human Hepatotoxicity (H-HT):  0.316 Drug-induced Liver Injury (DILI):  0.886
AMES Toxicity:  0.331 Rat Oral Acute Toxicity:  0.808
Maximum Recommended Daily Dose:  0.248 Skin Sensitization:  0.673
Carcinogencity:  0.679 Eye Corrosion:  0.0
Eye Irritation:  0.289 Respiratory Toxicity:  0.904
Drug-induced Neurotoxicity:  0.091 Ototoxicity:  0.301
Hematotoxicity:  0.1 Drug-induced Nephrotoxicity:  0.517
Genotoxicity:  0.126 RPMI-8226 Immunitoxicity:  0.055
A549 Cytotoxicity:  0.48 Hek293 Cytotoxicity:  0.782
BCF:   2.46
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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:   5.303
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.773
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   6.619
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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
NPO6249 Garcinia mangostana Species Clusiaceae Eukaryota n.a. n.a. n.a. PMID[18464091]
NPO6249 Garcinia mangostana Species Clusiaceae Eukaryota n.a. n.a. n.a. PMID[18558747]
NPO6249 Garcinia mangostana Species Clusiaceae Eukaryota n.a. n.a. n.a. PMID[19299148]
NPO6249 Garcinia mangostana Species Clusiaceae Eukaryota stem bark Pangradin village, Jasinga, West Java, Indonesia 2005-AUG PMID[19839614]
NPO6249 Garcinia mangostana Species Clusiaceae Eukaryota n.a. n.a. n.a. PMID[20817450]
NPO6249 Garcinia mangostana Species Clusiaceae Eukaryota n.a. pericarp n.a. PMID[24555285]
NPO6249 Garcinia mangostana Species Clusiaceae Eukaryota n.a. n.a. n.a. PMID[24717154]
NPO6249 Garcinia mangostana Species Clusiaceae Eukaryota fruit hulls Madras, Tamil Nadu, India 1993-MAR PMID[9213587]
NPO6249 Garcinia mangostana Species Clusiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO6249 Garcinia mangostana Species Clusiaceae Eukaryota Fruit n.a. n.a. Database[FooDB]
NPO6249 Garcinia mangostana Species Clusiaceae Eukaryota Leaf n.a. n.a. Database[FooDB]
NPO6249 Garcinia mangostana Species Clusiaceae Eukaryota n.a. n.a. Database[FooDB]
NPO6249 Garcinia mangostana Species Clusiaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO6249 Garcinia mangostana Species Clusiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO6249 Garcinia mangostana 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
NPT2647 Organism Drechslera Drechslera Inhibition = -38.0 % PMID[19128055]
NPT2647 Organism Drechslera Drechslera Inhibition = -66.0 % PMID[20483615]
NPT2647 Organism Drechslera Drechslera Inhibition = -69.0 % PMID[18458131]
NPT2648 Organism Fusarium oxysporum f. sp. vasinfectum Fusarium oxysporum f. sp. vasinfectum Inhibition = -7.0 % PMID[23013292]
NPT2648 Organism Fusarium oxysporum f. sp. vasinfectum Fusarium oxysporum f. sp. vasinfectum Inhibition = -4.0 % PMID[18052327]
NPT2648 Organism Fusarium oxysporum f. sp. vasinfectum Fusarium oxysporum f. sp. vasinfectum Inhibition = -3.0 % PMID[11325232]
NPT2646 Organism Alternaria tenuis Alternaria tenuis Inhibition = 1.0 % PMID[12713408]
NPT2646 Organism Alternaria tenuis Alternaria tenuis Inhibition = 4.0 % PMID[15844962]
NPT2646 Organism Alternaria tenuis Alternaria tenuis Inhibition = -2.0 % PMID[15771418]
NPT2646 Organism Alternaria tenuis Alternaria tenuis Inhibition = -5.0 % DrugMatrix in vivo data: Pathology

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 NPC474351 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
0.9375 High Similarity NPC474287
0.8462 Intermediate Similarity NPC475886
0.7971 Intermediate Similarity NPC475883
0.7971 Intermediate Similarity NPC474187
0.7846 Intermediate Similarity NPC165977
0.7391 Intermediate Similarity NPC474186
0.7183 Intermediate Similarity NPC474350
0.625 Remote Similarity NPC14353
0.6104 Remote Similarity NPC229632
0.6027 Remote Similarity NPC56085
0.6027 Remote Similarity NPC602307
0.5733 Remote Similarity NPC604618
0.5625 Remote Similarity NPC152659
0.5432 Remote Similarity NPC236521
0.5395 Remote Similarity NPC266499
0.5366 Remote Similarity NPC170245
0.5181 Remote Similarity NPC117854
0.5128 Remote Similarity NPC152951
0.5119 Remote Similarity NPC239752
0.5068 Remote Similarity NPC174999

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC474351 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