Natural Product: NPC259834

Natural Product IDNPC259834
Common Name
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The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Phellamurin
IUPAC Name (2R,3R)-3,5-dihydroxy-2-(4-hydroxyphenyl)-8-(3-methylbut-2-enyl)-7-[(2S,3R,4S,5S,6R)-3,4,5-trihydroxy-6-(hydroxymethyl)oxan-2-yl]oxy-2,3-dihydrochromen-4-one
Synonyms Phellamurin
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL516116
PubChem CID 193876
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0000334] Flavonoids
        • [CHEMONTID:0001111] Flavonoid glycosides
          • [CHEMONTID:0001583] Flavonoid O-glycosides
            • [CHEMONTID:0003533] Flavonoid-7-O-glycosides

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 GRDZTDZJQRPNCN-YIANMRPHSA-N
Standard InCHI InChI=1S/C26H30O11/c1-11(2)3-8-14-16(35-26-23(34)21(32)19(30)17(10-27)36-26)9-15(29)18-20(31)22(33)24(37-25(14)18)12-4-6-13(28)7-5-12/h3-7,9,17,19,21-24,26-30,32-34H,8,10H2,1-2H3/t17-,19-,21+,22+,23-,24-,26-/m1/s1
SMILES OC[C@H]1O[C@@H](Oc2cc(O)c3c(c2CC=C(C)C)O[C@@H]([C@H](C3=O)O)c2ccc(cc2)O)[C@@H]([C@H]([C@@H]1O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   518.18 Volume:   499.627
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Van der Waals volume.
Dense:   1.037 LogP:   1.082
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.991
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.198
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The logarithm of aqueous solubility value.
Rotatable Bonds:   6.0 Rigid Bonds:   25.0
TPSA:   186.37
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Topological Polar Surface Area.
H-Bond Acceptor:   11.0
H-Bond Donor:   7.0 Rings:   4.0
Heavy Atoms:   11.0

MedChem Properties

QED Drug-Likeness Score:   0.263 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.506 Fsp3:   0.423
MCE-18:   94.595
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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:   1
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.693 Fluc inhibitor:   0.307
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.363
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.658
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.172 Promiscuous compounds:   0.216

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.413 MDCK Permeability:   -5.129
Pgp-inhibitor:   0.009 Pgp-substrate:   0.376
PAMPA:   0.982
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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):   0.1
20% Bioavailability (F20%):   0.449 30% Bioavailability (F30%):   0.999
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.393
Plasma Protein Binding (PPB):   69.84% Volume Distribution (VD):   -0.01
Fu: 31.435%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.55
BSEP inhibitor:   0.008

ADMET: Metabolism

CYP1A2-inhibitor:   0.001 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.001 CYP2C19-substrate:   0.002
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.004
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.948
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.923
HLM stability:   0.019
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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):  3.329 Half-life (T1/2):  4.124

ADMET: Toxicity

hERG Blockers:  0.017 hERG Blockers (10um):  0.114
Human Hepatotoxicity (H-HT):  0.804 Drug-induced Liver Injury (DILI):  0.854
AMES Toxicity:  0.871 Rat Oral Acute Toxicity:  0.064
Maximum Recommended Daily Dose:  0.06 Skin Sensitization:  0.999
Carcinogencity:  0.042 Eye Corrosion:  0.0
Eye Irritation:  0.019 Respiratory Toxicity:  0.089
Drug-induced Neurotoxicity:  0.023 Ototoxicity:  0.984
Hematotoxicity:  0.343 Drug-induced Nephrotoxicity:  0.931
Genotoxicity:  0.988 RPMI-8226 Immunitoxicity:  0.125
A549 Cytotoxicity:  0.564 Hek293 Cytotoxicity:  0.588
BCF:   0.977
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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:   3.672
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.382
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.561
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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
NPO24476.1 Phellodendron amurense var. wilsonii Varieties Rutaceae Eukaryota Leaves n.a. n.a. PMID[14510598]
NPO4513 Commiphora africana Species Burseraceae Eukaryota n.a. n.a. n.a. PMID[15679332]
NPO4513 Commiphora africana Species Burseraceae Eukaryota n.a. n.a. n.a. PMID[37653941]
NPO24476.1 Phellodendron amurense var. wilsonii Varieties Rutaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO24476.1 Phellodendron amurense var. wilsonii Varieties Rutaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO24476.1 Phellodendron amurense var. wilsonii Varieties Rutaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO4513 Commiphora africana Species Burseraceae 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
NPT1310 Individual protein Xanthine dehydrogenase Bos taurus Inhibition = 0.0 % PMID[3379415]

In vitro activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference
NPT1 Others Radical scavenging activity n.a. Inhibition = 34.6 % PMID[14510598]
NPT2 Others Unspecified n.a. Activity = 62.0 % PMID[15679332]

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 NPC259834 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
0.5946 Remote Similarity NPC262038
0.5946 Remote Similarity NPC319910
0.5875 Remote Similarity NPC163191
0.5733 Remote Similarity NPC97326
0.5647 Remote Similarity NPC23817
0.5556 Remote Similarity NPC48579
0.5488 Remote Similarity NPC88484
0.5422 Remote Similarity NPC39351
0.5366 Remote Similarity NPC169248
0.5366 Remote Similarity NPC72649
0.5309 Remote Similarity NPC177742
0.5256 Remote Similarity NPC254412
0.5238 Remote Similarity NPC471457
0.5158 Remote Similarity NPC168789
0.5125 Remote Similarity NPC278476
0.5122 Remote Similarity NPC57587
0.5119 Remote Similarity NPC328093
0.5119 Remote Similarity NPC259182
0.5063 Remote Similarity NPC35567
0.5063 Remote Similarity NPC477240
0.5057 Remote Similarity NPC472320

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC259834 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