Natural Product: NPC493066

Natural Product IDNPC493066
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
(2~{S},3~{S},4~{S},5~{R},6~{S})-6-[3-[(2~{S},3~{R},4~{S},5~{S},6~{S})-6-carboxy-3,4,5-trihydroxy-tetrahydropyran-2-yl]oxy-2-(3,4-dihydroxyphenyl)-5-hydroxy-4-oxo-chromen-7-yl]oxy-3,4,5-trihydroxy-tetrahydropyran-2-carboxylic acid
IUPAC Name (2~{S},3~{S},4~{S},5~{R},6~{S})-6-[3-[(2~{S},3~{R},4~{S},5~{S},6~{S})-6-carboxy-3,4,5-trihydroxy-tetrahydropyran-2-yl]oxy-2-(3,4-dihydroxyphenyl)-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 RJXRCQLCSPIUMK-OVKMKJOGSA-N
Standard InCHI InChI=1S/C27H26O19/c28-8-2-1-6(3-9(8)29)20-21(44-27-19(37)15(33)17(35)23(46-27)25(40)41)13(31)12-10(30)4-7(5-11(12)43-20)42-26-18(36)14(32)16(34)22(45-26)24(38)39/h1-5,14-19,22-23,26-30,32-37H,(H,38,39)(H,40,41)/t14-,15-,16-,17-,18+,19+,22-,23-,26+,27+/m0/s1
SMILES O=C(O)[C@H]1O[C@@H](OC2=CC(O)=C3C(=O)C(O[C@@H]4O[C@H](C(=O)O)[C@@H](O)[C@H](O)[C@H]4O)=C(C4=CC=C(O)C(O)=C4)OC3=C2)[C@H](O)[C@@H](O)[C@@H]1O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   654.11 Volume:   573.415
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Van der Waals volume.
Dense:   1.141 LogP:   -0.489
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   0.475
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -1.86
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The logarithm of aqueous solubility value.
Rotatable Bonds:   7.0 Rigid Bonds:   32.0
TPSA:   323.8
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Topological Polar Surface Area.
H-Bond Acceptor:   19.0
H-Bond Donor:   11.0 Rings:   5.0
Heavy Atoms:   19.0

MedChem Properties

QED Drug-Likeness Score:   0.114 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.881 Fsp3:   0.37
MCE-18:   131.0
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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:   1 PAINS Alert:   1
Colloidal aggregators:   0.466 Fluc inhibitor:   0.316
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.961
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.632
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.371 Promiscuous compounds:   0.552

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.695 MDCK Permeability:   -4.966
Pgp-inhibitor:   0.0 Pgp-substrate:   0.132
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):   0.465
20% Bioavailability (F20%):   0.093 30% Bioavailability (F30%):   0.743
50% Bioavailability (F50%):   0.981

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.926
Plasma Protein Binding (PPB):   70.814% Volume Distribution (VD):   -0.292
Fu: 27.572%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.005
OATP1B3 inhibitor:   0.394 BCRP inhibitor:   0.001
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:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.1
HLM stability:   0.009
?
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):  0.941 Half-life (T1/2):  6.226

ADMET: Toxicity

hERG Blockers:  0.001 hERG Blockers (10um):  0.009
Human Hepatotoxicity (H-HT):  0.421 Drug-induced Liver Injury (DILI):  0.996
AMES Toxicity:  0.516 Rat Oral Acute Toxicity:  0.01
Maximum Recommended Daily Dose:  0.01 Skin Sensitization:  0.999
Carcinogencity:  0.002 Eye Corrosion:  0.0
Eye Irritation:  0.15 Respiratory Toxicity:  0.003
Drug-induced Neurotoxicity:  0.0 Ototoxicity:  0.977
Hematotoxicity:  0.029 Drug-induced Nephrotoxicity:  0.784
Genotoxicity:  0.935 RPMI-8226 Immunitoxicity:  0.045
A549 Cytotoxicity:  0.126 Hek293 Cytotoxicity:  0.021
BCF:   0.168
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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:   2.691
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.311
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.42
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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
NPO56737 Vigna spp. Genus Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO63208 Phaseolus spp. Genus Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO49904 Macroptilium lathyroides Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO47343 Oenothera rosea Species Onagraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO20629 Oenothera speciosa Species Onagraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO831 Potentilla reptans Species Rosaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO20629 Oenothera speciosa Species Onagraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO831 Potentilla reptans Species Rosaceae 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 NPC493066 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
0.7895 Intermediate Similarity NPC235260
0.7895 Intermediate Similarity NPC155763
0.7895 Intermediate Similarity NPC20505
0.7215 Intermediate Similarity NPC282169
0.6875 Remote Similarity NPC138927
0.6835 Remote Similarity NPC136042
0.6707 Remote Similarity NPC608742
0.6543 Remote Similarity NPC271692
0.6429 Remote Similarity NPC605784
0.6341 Remote Similarity NPC84362
0.6118 Remote Similarity NPC610187
0.6098 Remote Similarity NPC249281
0.6024 Remote Similarity NPC297987
0.6 Remote Similarity NPC135277
0.6 Remote Similarity NPC49344
0.5833 Remote Similarity NPC253685
0.5833 Remote Similarity NPC188871
0.5773 Remote Similarity NPC14187
0.5765 Remote Similarity NPC46420
0.5747 Remote Similarity NPC43211
0.5714 Remote Similarity NPC289667
0.5684 Remote Similarity NPC486577
0.5682 Remote Similarity NPC116458
0.5682 Remote Similarity NPC246943
0.5647 Remote Similarity NPC158674
0.5632 Remote Similarity NPC611303
0.5618 Remote Similarity NPC276377
0.5579 Remote Similarity NPC229409
0.5556 Remote Similarity NPC121703
0.5542 Remote Similarity NPC276222
0.5542 Remote Similarity NPC274618
0.5542 Remote Similarity NPC118284
0.5542 Remote Similarity NPC608147
0.5455 Remote Similarity NPC237435
0.5455 Remote Similarity NPC210094
0.5402 Remote Similarity NPC27640
0.5393 Remote Similarity NPC115760
0.5349 Remote Similarity NPC127546
0.5349 Remote Similarity NPC57625
0.5349 Remote Similarity NPC19709
0.5349 Remote Similarity NPC173637
0.5349 Remote Similarity NPC317489
0.5349 Remote Similarity NPC238376
0.5349 Remote Similarity NPC223424
0.5349 Remote Similarity NPC600591
0.5326 Remote Similarity NPC251417
0.5319 Remote Similarity NPC150164
0.5287 Remote Similarity NPC145038
0.5287 Remote Similarity NPC56077
0.5287 Remote Similarity NPC281131
0.5287 Remote Similarity NPC253662
0.5287 Remote Similarity NPC179950
0.5287 Remote Similarity NPC277205
0.5287 Remote Similarity NPC37919
0.5287 Remote Similarity NPC88789
0.5287 Remote Similarity NPC189142
0.5287 Remote Similarity NPC77660
0.5287 Remote Similarity NPC491374
0.5281 Remote Similarity NPC488071
0.5263 Remote Similarity NPC186816
0.5243 Remote Similarity NPC480441
0.5217 Remote Similarity NPC600989
0.5208 Remote Similarity NPC64425
0.5169 Remote Similarity NPC59534
0.5169 Remote Similarity NPC101191
0.5116 Remote Similarity NPC67037
0.5116 Remote Similarity NPC255615
0.5111 Remote Similarity NPC175107
0.5102 Remote Similarity NPC32641
0.5102 Remote Similarity NPC256188
0.5102 Remote Similarity NPC72016
0.5102 Remote Similarity NPC35119
0.5056 Remote Similarity NPC305811
0.5054 Remote Similarity NPC116864
0.5054 Remote Similarity NPC244776
0.5052 Remote Similarity NPC64051
0.5048 Remote Similarity NPC277532

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC493066 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
0.5464 Remote Similarity NPD7251 Phase 2
0.5455 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