Natural Product: NPC568320

Natural Product IDNPC568320
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
5-hydroxy-3-(3-hydroxy-4,5-dimethoxy-phenyl)-7-[(2~{R},3~{S},4~{R},5~{R},6~{S})-3,4,5-trihydroxy-6-(hydroxymethyl)tetrahydropyran-2-yl]oxy-chromen-4-one
IUPAC Name 5-hydroxy-3-(3-hydroxy-4,5-dimethoxy-phenyl)-7-[(2~{R},3~{S},4~{R},5~{R},6~{S})-3,4,5-trihydroxy-6-(hydroxymethyl)tetrahydropyran-2-yl]oxy-chromen-4-one
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 MMXONNAQYTURLK-QRDGOAKLSA-N
Standard InCHI InChI=1S/C23H24O12/c1-31-15-4-9(3-13(26)22(15)32-2)11-8-33-14-6-10(5-12(25)17(14)18(11)27)34-23-21(30)20(29)19(28)16(7-24)35-23/h3-6,8,16,19-21,23-26,28-30H,7H2,1-2H3/t16-,19-,20+,21-,23-/m0/s1
SMILES COC1=CC(C2=COC3=CC(O[C@H]4O[C@@H](CO)[C@H](O)[C@@H](O)[C@@H]4O)=CC(O)=C3C2=O)=CC(O)=C1OC

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   492.13 Volume:   456.529
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Van der Waals volume.
Dense:   1.078 LogP:   -0.133
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   0.885
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.792
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The logarithm of aqueous solubility value.
Rotatable Bonds:   6.0 Rigid Bonds:   24.0
TPSA:   188.51
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Topological Polar Surface Area.
H-Bond Acceptor:   12.0
H-Bond Donor:   6.0 Rings:   4.0
Heavy Atoms:   12.0

MedChem Properties

QED Drug-Likeness Score:   0.272 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.039 Fsp3:   0.348
MCE-18:   89.71
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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:   Rejected BMS Rule:   0
Chelating Alert:   1 PAINS Alert:   0
Colloidal aggregators:   0.58 Fluc inhibitor:   0.187
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.91
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.826
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.099 Promiscuous compounds:   0.684

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.367 MDCK Permeability:   -5.397
Pgp-inhibitor:   0.001 Pgp-substrate:   0.45
PAMPA:   0.974
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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):   0.812
20% Bioavailability (F20%):   0.233 30% Bioavailability (F30%):   0.98
50% Bioavailability (F50%):   0.989

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.046 MRP1:   0.388
Plasma Protein Binding (PPB):   82.83% Volume Distribution (VD):   -0.063
Fu: 17.019%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.994
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.7
BSEP inhibitor:   0.01

ADMET: Metabolism

CYP1A2-inhibitor:   0.174 CYP1A2-substrate:   0.001
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.001
CYP2C9-inhibitor:   0.11 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.027 CYP2D6-substrate:   0.018
CYP3A4-inhibitor:   0.002 CYP3A4-substrate:   0.226
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.366
HLM stability:   0.11
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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):  2.218 Half-life (T1/2):  2.742

ADMET: Toxicity

hERG Blockers:  0.03 hERG Blockers (10um):  0.234
Human Hepatotoxicity (H-HT):  0.608 Drug-induced Liver Injury (DILI):  0.981
AMES Toxicity:  0.758 Rat Oral Acute Toxicity:  0.089
Maximum Recommended Daily Dose:  0.073 Skin Sensitization:  0.883
Carcinogencity:  0.141 Eye Corrosion:  0.0
Eye Irritation:  0.309 Respiratory Toxicity:  0.065
Drug-induced Neurotoxicity:  0.012 Ototoxicity:  0.832
Hematotoxicity:  0.158 Drug-induced Nephrotoxicity:  0.751
Genotoxicity:  0.499 RPMI-8226 Immunitoxicity:  0.271
A549 Cytotoxicity:  0.537 Hek293 Cytotoxicity:  0.212
BCF:   0.464
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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:   3.121
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.609
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.774
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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
NPO7478 Iris germanica Species Iridaceae Eukaryota n.a. n.a. n.a. PMID[19299148]
NPO7478 Iris germanica Species Iridaceae Eukaryota n.a. rhizome n.a. PMID[22388969]
NPO7478 Iris germanica Species Iridaceae Eukaryota n.a. rhizome n.a. PMID[25204177]
NPO7478 Iris germanica Species Iridaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO7478 Iris germanica Species Iridaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO7478 Iris germanica Species Iridaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO7478 Iris germanica Species Iridaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]

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 NPC568320 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
0.8267 Intermediate Similarity NPC224462
0.7763 Intermediate Similarity NPC73511
0.7632 Intermediate Similarity NPC197896
0.7632 Intermediate Similarity NPC313163
0.7179 Intermediate Similarity NPC234739
0.6951 Remote Similarity NPC307518
0.6914 Remote Similarity NPC80140
0.6667 Remote Similarity NPC48773
0.6627 Remote Similarity NPC229729
0.6585 Remote Similarity NPC205076
0.6506 Remote Similarity NPC481043
0.65 Remote Similarity NPC160515
0.6477 Remote Similarity NPC479405
0.642 Remote Similarity NPC348541
0.6404 Remote Similarity NPC479404
0.6145 Remote Similarity NPC156457
0.6098 Remote Similarity NPC45165
0.6092 Remote Similarity NPC479407
0.6047 Remote Similarity NPC22832
0.6047 Remote Similarity NPC243930
0.6 Remote Similarity NPC100720
0.5955 Remote Similarity NPC487212
0.5952 Remote Similarity NPC105511
0.5952 Remote Similarity NPC95090
0.5952 Remote Similarity NPC161749
0.5952 Remote Similarity NPC27408
0.5914 Remote Similarity NPC479403
0.5904 Remote Similarity NPC135345
0.5814 Remote Similarity NPC138540
0.5795 Remote Similarity NPC311830
0.5795 Remote Similarity NPC607707
0.5747 Remote Similarity NPC479402
0.5698 Remote Similarity NPC84362
0.5682 Remote Similarity NPC284960
0.5682 Remote Similarity NPC486578
0.5682 Remote Similarity NPC601607
0.5647 Remote Similarity NPC289667
0.5647 Remote Similarity NPC261866
0.5618 Remote Similarity NPC607201
0.5591 Remote Similarity NPC303913
0.5581 Remote Similarity NPC189142
0.5581 Remote Similarity NPC77660
0.5568 Remote Similarity NPC285197
0.5556 Remote Similarity NPC191154
0.5506 Remote Similarity NPC601144
0.5488 Remote Similarity NPC134819
0.5465 Remote Similarity NPC39360
0.5465 Remote Similarity NPC29763
0.5465 Remote Similarity NPC210003
0.5455 Remote Similarity NPC60966
0.5455 Remote Similarity NPC481044
0.5444 Remote Similarity NPC479406
0.5402 Remote Similarity NPC297987
0.5402 Remote Similarity NPC487213
0.5402 Remote Similarity NPC258035
0.5402 Remote Similarity NPC277205
0.5402 Remote Similarity NPC37919
0.5402 Remote Similarity NPC136042
0.5393 Remote Similarity NPC479401
0.5385 Remote Similarity NPC601586
0.5287 Remote Similarity NPC58053
0.5269 Remote Similarity NPC251417
0.5227 Remote Similarity NPC323593
0.5227 Remote Similarity NPC203500
0.5227 Remote Similarity NPC603782
0.5195 Remote Similarity NPC250557
0.519 Remote Similarity NPC114192
0.5169 Remote Similarity NPC22195
0.5169 Remote Similarity NPC186807
0.5169 Remote Similarity NPC21190
0.5165 Remote Similarity NPC605067
0.5165 Remote Similarity NPC610187
0.5132 Remote Similarity NPC116632
0.5109 Remote Similarity NPC116458
0.5109 Remote Similarity NPC246943
0.5109 Remote Similarity NPC605784
0.5065 Remote Similarity NPC303644
0.5055 Remote Similarity NPC307938
0.5055 Remote Similarity NPC609451
0.5054 Remote Similarity NPC267254
0.5051 Remote Similarity NPC257714
0.505 Remote Similarity NPC235575

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC568320 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
0.5952 Remote Similarity NPD4381 Clinical (unspecified phase)

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