Natural Product: NPC106625

Natural Product IDNPC106625
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Asebotin
IUPAC Name 1-[2-hydroxy-4-methoxy-6-[(2S,3R,4S,5S,6R)-3,4,5-trihydroxy-6-(hydroxymethyl)oxan-2-yl]oxyphenyl]-3-(4-hydroxyphenyl)propan-1-one
Synonyms Asebotin
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL490513
PubChem CID 11190157
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0000334] Flavonoids
        • [CHEMONTID:0001111] Flavonoid glycosides
          • [CHEMONTID:0001583] Flavonoid 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 PQCIBORQLVRFMR-MIUGBVLSSA-N
Standard InCHI InChI=1S/C22H26O10/c1-30-13-8-15(26)18(14(25)7-4-11-2-5-12(24)6-3-11)16(9-13)31-22-21(29)20(28)19(27)17(10-23)32-22/h2-3,5-6,8-9,17,19-24,26-29H,4,7,10H2,1H3/t17-,19-,20+,21-,22-/m1/s1
SMILES OC[C@H]1O[C@@H](Oc2cc(OC)cc(c2C(=O)CCc2ccc(cc2)O)O)[C@@H]([C@H]([C@@H]1O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   450.15 Volume:   432.846
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Van der Waals volume.
Dense:   1.04 LogP:   1.097
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.594
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.475
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The logarithm of aqueous solubility value.
Rotatable Bonds:   8.0 Rigid Bonds:   19.0
TPSA:   166.14
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Topological Polar Surface Area.
H-Bond Acceptor:   10.0
H-Bond Donor:   6.0 Rings:   3.0
Heavy Atoms:   10.0

MedChem Properties

QED Drug-Likeness Score:   0.304 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   3.726 Fsp3:   0.409
MCE-18:   69.774
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MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Rejected
Pfizer Rule:   Rejected GSK Rule:   Accepted
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.452 Fluc inhibitor:   0.374
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.164
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.627
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.082 Promiscuous compounds:   0.296

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.81 MDCK Permeability:   -4.966
Pgp-inhibitor:   0.086 Pgp-substrate:   0.038
PAMPA:   0.717
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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):   0.044
20% Bioavailability (F20%):   0.01 30% Bioavailability (F30%):   0.947
50% Bioavailability (F50%):   0.998

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.02
Plasma Protein Binding (PPB):   85.257% Volume Distribution (VD):   -0.132
Fu: 15.358%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.246
BSEP inhibitor:   0.699

ADMET: Metabolism

CYP1A2-inhibitor:   0.623 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.039 CYP2C19-substrate:   0.006
CYP2C9-inhibitor:   0.003 CYP2C9-substrate:   0.001
CYP2D6-inhibitor:   0.002 CYP2D6-substrate:   0.45
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.999
HLM stability:   0.764
?
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):  3.461 Half-life (T1/2):  3.03

ADMET: Toxicity

hERG Blockers:  0.057 hERG Blockers (10um):  0.196
Human Hepatotoxicity (H-HT):  0.714 Drug-induced Liver Injury (DILI):  0.549
AMES Toxicity:  0.809 Rat Oral Acute Toxicity:  0.024
Maximum Recommended Daily Dose:  0.047 Skin Sensitization:  0.99
Carcinogencity:  0.213 Eye Corrosion:  0.0
Eye Irritation:  0.281 Respiratory Toxicity:  0.04
Drug-induced Neurotoxicity:  0.051 Ototoxicity:  0.904
Hematotoxicity:  0.295 Drug-induced Nephrotoxicity:  0.71
Genotoxicity:  0.644 RPMI-8226 Immunitoxicity:  0.069
A549 Cytotoxicity:  0.378 Hek293 Cytotoxicity:  0.477
BCF:   0.577
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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:   3.246
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.857
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.95
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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
NPO13961 Pieris japonica Species Ericaceae Eukaryota leaves n.a. n.a. PMID[15787442]
NPO13961 Pieris japonica Species Ericaceae Eukaryota n.a. leaf n.a. PMID[15787442]
NPO13961 Pieris japonica Species Ericaceae Eukaryota Leaves n.a. n.a. PMID[31809052]
NPO19198 Kalmia latifolia Species Ericaceae Eukaryota n.a. n.a. n.a. PMID[521818]
NPO19198 Kalmia latifolia Species Ericaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO13961 Pieris japonica Species Ericaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO13961 Pieris japonica Species Ericaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO19198 Kalmia latifolia Species Ericaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO13961 Pieris japonica Species Ericaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO19198 Kalmia latifolia Species Ericaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO19198 Kalmia latifolia Species Ericaceae Eukaryota n.a. n.a. n.a. Database[Title]
NPO19198 Kalmia latifolia Species Ericaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO13961 Pieris japonica Species Ericaceae 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
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. Activity = 100.0 % PMID[521818]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. Activity = 35.16 10'-3cpm PMID[15787442]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. Activity = 40.73 10'-3cpm PMID[15787442]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. Activity = 47.42 10'-3cpm PMID[15787442]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. Activity = 79.57 10'-3cpm PMID[15787442]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. Activity = 87.19 10'-3cpm PMID[15787442]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. Activity = 89.78 10'-3cpm PMID[15787442]

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 NPC106625 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
0.8529 High Similarity NPC300537
0.7941 Intermediate Similarity NPC259182
0.7727 Intermediate Similarity NPC121001
0.7714 Intermediate Similarity NPC6985
0.7143 Intermediate Similarity NPC148273
0.7067 Intermediate Similarity NPC127406
0.6986 Remote Similarity NPC257963
0.6761 Remote Similarity NPC99233
0.6571 Remote Similarity NPC479374
0.64 Remote Similarity NPC39351
0.6349 Remote Similarity NPC18877
0.6269 Remote Similarity NPC23084
0.5974 Remote Similarity NPC219163
0.5897 Remote Similarity NPC206378
0.5844 Remote Similarity NPC308265
0.5802 Remote Similarity NPC236934
0.5769 Remote Similarity NPC127782
0.5658 Remote Similarity NPC177742
0.5641 Remote Similarity NPC97052
0.5625 Remote Similarity NPC29830
0.5616 Remote Similarity NPC199335
0.56 Remote Similarity NPC604892
0.5584 Remote Similarity NPC601828
0.5541 Remote Similarity NPC190217
0.5429 Remote Similarity NPC218685
0.5385 Remote Similarity NPC606849
0.5316 Remote Similarity NPC169248
0.5316 Remote Similarity NPC72649
0.5309 Remote Similarity NPC149244
0.5303 Remote Similarity NPC144051
0.5278 Remote Similarity NPC214910
0.5256 Remote Similarity NPC57587
0.525 Remote Similarity NPC88484
0.525 Remote Similarity NPC163191
0.5231 Remote Similarity NPC142319
0.5224 Remote Similarity NPC28753
0.5224 Remote Similarity NPC152722
0.52 Remote Similarity NPC477240
0.5185 Remote Similarity NPC471457
0.5185 Remote Similarity NPC26195
0.5152 Remote Similarity NPC217854
0.5143 Remote Similarity NPC214454
0.5135 Remote Similarity NPC106025
0.5128 Remote Similarity NPC210192
0.5125 Remote Similarity NPC271479
0.5122 Remote Similarity NPC147596
0.5119 Remote Similarity NPC472381
0.5075 Remote Similarity NPC192810
0.5075 Remote Similarity NPC286336
0.507 Remote Similarity NPC215833
0.5068 Remote Similarity NPC26653
0.5068 Remote Similarity NPC80600
0.5062 Remote Similarity NPC170475
0.506 Remote Similarity NPC43638

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC106625 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