Natural Product: NPC533103

Natural Product IDNPC533103
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
[(2R,3S,4S,5R,6S)-3,4,5-trihydroxy-6-[7-hydroxy-2-(3-hydroxy-4-methoxyphenyl)-6,8-dimethoxy-4-oxochromen-5-yl]oxyoxan-2-yl]methyl acetate
IUPAC Name [(2~{R},3~{S},4~{S},5~{R},6~{S})-3,4,5-trihydroxy-6-[7-hydroxy-2-(3-hydroxy-4-methoxy-phenyl)-6,8-dimethoxy-4-oxo-chromen-5-yl]oxy-tetrahydropyran-2-yl]methyl acetate
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID n.a.
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]

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 FFHGFFUGZHGVBY-DKQWOSKQSA-N
Standard InCHI InChI=1S/C26H28O14/c1-10(27)37-9-16-18(30)19(31)20(32)26(39-16)40-23-17-13(29)8-15(11-5-6-14(34-2)12(28)7-11)38-22(17)24(35-3)21(33)25(23)36-4/h5-8,16,18-20,26,28,30-33H,9H2,1-4H3/t16-,18-,19+,20-,26+/m1/s1
SMILES COC1=CC=C(C2=CC(=O)C3=C(O[C@@H]4O[C@H](COC(C)=O)[C@@H](O)[C@H](O)[C@H]4O)C(OC)=C(O)C(OC)=C3O2)C=C1O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   564.15 Volume:   523.361
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Van der Waals volume.
Dense:   1.078 LogP:   0.753
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.147
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.086
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The logarithm of aqueous solubility value.
Rotatable Bonds:   9.0 Rigid Bonds:   25.0
TPSA:   203.81
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Topological Polar Surface Area.
H-Bond Acceptor:   14.0
H-Bond Donor:   5.0 Rings:   4.0
Heavy Atoms:   14.0

MedChem Properties

QED Drug-Likeness Score:   0.238 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.22 Fsp3:   0.385
MCE-18:   95.056
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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:   0
Colloidal aggregators:   0.485 Fluc inhibitor:   0.246
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.89
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.926
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.03 Promiscuous compounds:   0.304

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.011 MDCK Permeability:   -5.299
Pgp-inhibitor:   0.046 Pgp-substrate:   0.125
PAMPA:   0.42
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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):   0.257
20% Bioavailability (F20%):   0.47 30% Bioavailability (F30%):   0.977
50% Bioavailability (F50%):   0.981

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.062 MRP1:   0.398
Plasma Protein Binding (PPB):   85.536% Volume Distribution (VD):   -0.386
Fu: 13.27%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.212
BSEP inhibitor:   0.587

ADMET: Metabolism

CYP1A2-inhibitor:   0.012 CYP1A2-substrate:   0.003
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.001
CYP2C9-inhibitor:   0.013 CYP2C9-substrate:   0.003
CYP2D6-inhibitor:   0.003 CYP2D6-substrate:   0.01
CYP3A4-inhibitor:   0.321 CYP3A4-substrate:   0.131
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.998
HLM stability:   0.864
?
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):  2.121 Half-life (T1/2):  3.411

ADMET: Toxicity

hERG Blockers:  0.029 hERG Blockers (10um):  0.207
Human Hepatotoxicity (H-HT):  0.581 Drug-induced Liver Injury (DILI):  0.973
AMES Toxicity:  0.883 Rat Oral Acute Toxicity:  0.047
Maximum Recommended Daily Dose:  0.093 Skin Sensitization:  0.996
Carcinogencity:  0.505 Eye Corrosion:  0.0
Eye Irritation:  0.214 Respiratory Toxicity:  0.025
Drug-induced Neurotoxicity:  0.026 Ototoxicity:  0.719
Hematotoxicity:  0.399 Drug-induced Nephrotoxicity:  0.496
Genotoxicity:  0.59 RPMI-8226 Immunitoxicity:  0.142
A549 Cytotoxicity:  0.273 Hek293 Cytotoxicity:  0.337
BCF:   0.387
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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:   3.025
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.482
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.858
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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
NPO14602 Vitex negundo Species Lamiaceae Eukaryota leaves n.a. n.a. PMID[12828478]
NPO14602 Vitex negundo Species Lamiaceae Eukaryota n.a. root n.a. PMID[15520511]
NPO14602 Vitex negundo Species Lamiaceae Eukaryota seeds n.a. n.a. PMID[15620254]
NPO14602 Vitex negundo Species Lamiaceae Eukaryota seeds n.a. n.a. PMID[1624939]
NPO14602 Vitex negundo Species Lamiaceae Eukaryota n.a. n.a. n.a. PMID[17027268]
NPO14602 Vitex negundo Species Lamiaceae Eukaryota Seeds n.a. n.a. PMID[19715321]
NPO14602 Vitex negundo Species Lamiaceae Eukaryota Seeds n.a. n.a. PMID[19931461]
NPO14602 Vitex negundo Species Lamiaceae Eukaryota n.a. n.a. n.a. PMID[23403897]
NPO14602 Vitex negundo Species Lamiaceae Eukaryota n.a. n.a. n.a. PMID[38163555]
NPO14602 Vitex negundo Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO14602 Vitex negundo Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO14602 Vitex negundo Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO14602 Vitex negundo Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO14602 Vitex negundo Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO14602 Vitex negundo Species Lamiaceae 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 NPC533103 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
0.6022 Remote Similarity NPC254540
0.5914 Remote Similarity NPC211594
0.5758 Remote Similarity NPC209296
0.5745 Remote Similarity NPC172807
0.5152 Remote Similarity NPC609888
0.5104 Remote Similarity NPC22832
0.5104 Remote Similarity NPC605067
0.5104 Remote Similarity NPC606560
0.5098 Remote Similarity NPC153755

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC533103 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
0.5758 Remote Similarity NPD7054 Phase 4
0.5728 Remote Similarity NPD7472 Pre-clinical

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