Natural Product: NPC536305

Natural Product IDNPC536305
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
(2~{R},3~{S},4~{S},5~{R},6~{S})-6-[2-[4-[(2~{S},3~{R},4~{R},5~{S},6~{R})-6-[(2-carboxyacetyl)oxymethyl]-3,4,5-trihydroxy-tetrahydropyran-2-yl]oxyphenyl]-5-hydroxy-4-oxo-chromen-7-yl]oxy-3,4,5-trihydroxy-tetrahydropyran-2-carboxylic acid
IUPAC Name (2~{R},3~{S},4~{S},5~{R},6~{S})-6-[2-[4-[(2~{S},3~{R},4~{R},5~{S},6~{R})-6-[(2-carboxyacetyl)oxymethyl]-3,4,5-trihydroxy-tetrahydropyran-2-yl]oxyphenyl]-5-hydroxy-4-oxo-chromen-7-yl]oxy-3,4,5-trihydroxy-tetrahydropyran-2-carboxylic acid
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID n.a.
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0000334] Flavonoids
        • [CHEMONTID:0001111] Flavonoid glycosides
          • [CHEMONTID:0001583] Flavonoid O-glycosides
            • [CHEMONTID:0002934] Flavonoid O-glucuronides
              • [CHEMONTID:0003534] Flavonoid-7-O-glucuronides

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 KWPZKEPPMDOLFK-PFQJCDAJSA-N
Standard InCHI InChI=1S/C30H30O19/c31-13-5-12(46-30-26(41)23(38)24(39)27(49-30)28(42)43)6-16-20(13)14(32)7-15(47-16)10-1-3-11(4-2-10)45-29-25(40)22(37)21(36)17(48-29)9-44-19(35)8-18(33)34/h1-7,17,21-27,29-31,36-41H,8-9H2,(H,33,34)(H,42,43)/t17-,21-,22-,23+,24+,25-,26-,27-,29-,30-/m1/s1
SMILES O=C(O)CC(=O)OC[C@H]1O[C@@H](OC2=CC=C(C3=CC(=O)C4=C(O)C=C(O[C@@H]5O[C@@H](C(=O)O)[C@@H](O)[C@H](O)[C@H]5O)C=C4O3)C=C2)[C@H](O)[C@H](O)[C@@H]1O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   694.14 Volume:   622.667
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Van der Waals volume.
Dense:   1.115 LogP:   -0.602
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   0.356
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -1.758
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The logarithm of aqueous solubility value.
Rotatable Bonds:   11.0 Rigid Bonds:   33.0
TPSA:   309.64
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Topological Polar Surface Area.
H-Bond Acceptor:   19.0
H-Bond Donor:   9.0 Rings:   5.0
Heavy Atoms:   19.0

MedChem Properties

QED Drug-Likeness Score:   0.079 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.854 Fsp3:   0.4
MCE-18:   125.143
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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:   0.449 Fluc inhibitor:   0.42
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.929
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.642
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.098 Promiscuous compounds:   0.445

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.366 MDCK Permeability:   -5.08
Pgp-inhibitor:   0.0 Pgp-substrate:   0.292
PAMPA:   1.0
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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):   0.301
20% Bioavailability (F20%):   0.045 30% Bioavailability (F30%):   0.089
50% Bioavailability (F50%):   0.998

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.966
Plasma Protein Binding (PPB):   75.853% Volume Distribution (VD):   -0.247
Fu: 21.178%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.17
OATP1B3 inhibitor:   0.989 BCRP inhibitor:   0.0
BSEP inhibitor:   0.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.001
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.228
HLM stability:   0.001
?
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):  0.667 Half-life (T1/2):  4.754

ADMET: Toxicity

hERG Blockers:  0.002 hERG Blockers (10um):  0.005
Human Hepatotoxicity (H-HT):  0.424 Drug-induced Liver Injury (DILI):  0.999
AMES Toxicity:  0.93 Rat Oral Acute Toxicity:  0.035
Maximum Recommended Daily Dose:  0.008 Skin Sensitization:  0.998
Carcinogencity:  0.024 Eye Corrosion:  0.0
Eye Irritation:  0.05 Respiratory Toxicity:  0.005
Drug-induced Neurotoxicity:  0.0 Ototoxicity:  0.933
Hematotoxicity:  0.487 Drug-induced Nephrotoxicity:  0.984
Genotoxicity:  0.996 RPMI-8226 Immunitoxicity:  0.138
A549 Cytotoxicity:  0.018 Hek293 Cytotoxicity:  0.03
BCF:   0.115
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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:   2.704
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.197
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.354
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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
NPO11352 Centaurea cyanus Species Asteraceae Eukaryota n.a. n.a. n.a. DOI[10.1016/0031-9422(91)83628-X]
NPO11352 Centaurea cyanus Species Asteraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO11352 Centaurea cyanus Species Asteraceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO11352 Centaurea cyanus Species Asteraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO11352 Centaurea cyanus Species Asteraceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO11352 Centaurea cyanus Species Asteraceae 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 NPC536305 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
0.8523 High Similarity NPC46202
0.8132 Intermediate Similarity NPC229409
0.8111 Intermediate Similarity NPC64051
0.75 Intermediate Similarity NPC608742
0.7 Intermediate Similarity NPC282169
0.6813 Remote Similarity NPC20505
0.6768 Remote Similarity NPC479766
0.67 Remote Similarity NPC479765
0.6429 Remote Similarity NPC22062
0.6429 Remote Similarity NPC473634
0.6429 Remote Similarity NPC138811
0.6176 Remote Similarity NPC473623
0.6117 Remote Similarity NPC270675
0.6117 Remote Similarity NPC488089
0.6117 Remote Similarity NPC195685
0.6064 Remote Similarity NPC181712
0.602 Remote Similarity NPC211594
0.6 Remote Similarity NPC44931
0.5957 Remote Similarity NPC95090
0.5957 Remote Similarity NPC27408
0.5943 Remote Similarity NPC472994
0.5941 Remote Similarity NPC210073
0.5865 Remote Similarity NPC209296
0.5794 Remote Similarity NPC253685
0.5769 Remote Similarity NPC65711
0.5766 Remote Similarity NPC277532
0.5758 Remote Similarity NPC190003
0.5727 Remote Similarity NPC472993
0.5701 Remote Similarity NPC101636
0.5701 Remote Similarity NPC298171
0.567 Remote Similarity NPC27942
0.5612 Remote Similarity NPC237435
0.5579 Remote Similarity NPC331652
0.5556 Remote Similarity NPC43211
0.5545 Remote Similarity NPC121703
0.5545 Remote Similarity NPC11468
0.5545 Remote Similarity NPC600989
0.5521 Remote Similarity NPC39360
0.5521 Remote Similarity NPC19709
0.5521 Remote Similarity NPC29763
0.5521 Remote Similarity NPC210003
0.5464 Remote Similarity NPC189142
0.5464 Remote Similarity NPC77660
0.5463 Remote Similarity NPC477629
0.5429 Remote Similarity NPC204693
0.5417 Remote Similarity NPC473043
0.54 Remote Similarity NPC22832
0.54 Remote Similarity NPC243930
0.54 Remote Similarity NPC601144
0.5392 Remote Similarity NPC172807
0.5347 Remote Similarity NPC607707
0.534 Remote Similarity NPC254540
0.5304 Remote Similarity NPC488087
0.5278 Remote Similarity NPC483707
0.5214 Remote Similarity NPC488086
0.5204 Remote Similarity NPC261866
0.52 Remote Similarity NPC101191
0.5196 Remote Similarity NPC311830
0.5149 Remote Similarity NPC210094
0.5098 Remote Similarity NPC115760
0.5098 Remote Similarity NPC610187
0.5085 Remote Similarity NPC68592
0.5051 Remote Similarity NPC289667
0.5051 Remote Similarity NPC58053
0.5051 Remote Similarity NPC143851
0.5045 Remote Similarity NPC80068
0.5045 Remote Similarity NPC475382

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC536305 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
0.5865 Remote Similarity NPD7054 Phase 4
0.5612 Remote Similarity NPD4338 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