Natural Product: NPC571492

Natural Product IDNPC571492
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
2-(3,4-dihydroxyphenyl)-3-hydroxy-7-[(2~{S},3~{R},4~{S},5~{S},6~{R})-3,4,5-trihydroxy-6-[[(2~{R},3~{R},4~{S},5~{R},6~{R})-3,4,5-trihydroxy-6-methyl-tetrahydropyran-2-yl]oxymethyl]tetrahydropyran-2-yl]oxy-chromen-4-one
IUPAC Name 2-(3,4-dihydroxyphenyl)-3-hydroxy-7-[(2~{S},3~{R},4~{S},5~{S},6~{R})-3,4,5-trihydroxy-6-[[(2~{R},3~{R},4~{S},5~{R},6~{R})-3,4,5-trihydroxy-6-methyl-tetrahydropyran-2-yl]oxymethyl]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]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0000334] Flavonoids
        • [CHEMONTID:0001111] Flavonoid glycosides
          • [CHEMONTID:0001583] Flavonoid O-glycosides
            • [CHEMONTID:0003533] Flavonoid-7-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 ROKINGZIRKUMQG-GCRIMBLLSA-N
Standard InCHI InChI=1S/C27H30O15/c1-9-17(30)20(33)23(36)26(39-9)38-8-16-19(32)21(34)24(37)27(42-16)40-11-3-4-12-15(7-11)41-25(22(35)18(12)31)10-2-5-13(28)14(29)6-10/h2-7,9,16-17,19-21,23-24,26-30,32-37H,8H2,1H3/t9-,16-,17+,19-,20+,21+,23-,24-,26-,27-/m1/s1
SMILES C[C@H]1O[C@@H](OC[C@H]2O[C@@H](OC3=CC=C4C(=O)C(O)=C(C5=CC=C(O)C(O)=C5)OC4=C3)[C@H](O)[C@@H](O)[C@@H]2O)[C@H](O)[C@@H](O)[C@H]1O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   594.16 Volume:   543.527
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Van der Waals volume.
Dense:   1.093 LogP:   -0.757
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   0.33
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.24
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The logarithm of aqueous solubility value.
Rotatable Bonds:   6.0 Rigid Bonds:   30.0
TPSA:   249.2
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Topological Polar Surface Area.
H-Bond Acceptor:   15.0
H-Bond Donor:   9.0 Rings:   5.0
Heavy Atoms:   15.0

MedChem Properties

QED Drug-Likeness Score:   0.149 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.667 Fsp3:   0.444
MCE-18:   119.436
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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:   1
Colloidal aggregators:   0.615 Fluc inhibitor:   0.345
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.911
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.655
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.187 Promiscuous compounds:   0.487

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.571 MDCK Permeability:   -5.07
Pgp-inhibitor:   0.0 Pgp-substrate:   0.17
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):   0.931
20% Bioavailability (F20%):   0.496 30% Bioavailability (F30%):   0.998
50% Bioavailability (F50%):   0.999

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.061
Plasma Protein Binding (PPB):   81.098% Volume Distribution (VD):   -0.129
Fu: 17.418%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.392
BSEP inhibitor:   0.022

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:   0.002
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.057
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.996
HLM stability:   0.849
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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):  1.238 Half-life (T1/2):  5.357

ADMET: Toxicity

hERG Blockers:  0.03 hERG Blockers (10um):  0.346
Human Hepatotoxicity (H-HT):  0.261 Drug-induced Liver Injury (DILI):  0.928
AMES Toxicity:  0.712 Rat Oral Acute Toxicity:  0.017
Maximum Recommended Daily Dose:  0.03 Skin Sensitization:  0.898
Carcinogencity:  0.033 Eye Corrosion:  0.0
Eye Irritation:  0.422 Respiratory Toxicity:  0.004
Drug-induced Neurotoxicity:  0.0 Ototoxicity:  0.958
Hematotoxicity:  0.032 Drug-induced Nephrotoxicity:  0.405
Genotoxicity:  0.25 RPMI-8226 Immunitoxicity:  0.079
A549 Cytotoxicity:  0.413 Hek293 Cytotoxicity:  0.13
BCF:   0.679
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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:   3.368
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.91
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.304
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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
NPO53145 Baptisia lecontei Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO63548 Baptisia simplicifolia Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO55530 Baptisia sphaerocarpa Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]

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 NPC571492 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
0.7857 Intermediate Similarity NPC67105
0.7045 Intermediate Similarity NPC227508
0.6778 Remote Similarity NPC210073
0.6556 Remote Similarity NPC187379
0.6413 Remote Similarity NPC203259
0.6413 Remote Similarity NPC33054
0.6413 Remote Similarity NPC176740
0.6413 Remote Similarity NPC471725
0.6413 Remote Similarity NPC134532
0.6413 Remote Similarity NPC602582
0.6353 Remote Similarity NPC238376
0.6277 Remote Similarity NPC126784
0.6277 Remote Similarity NPC241423
0.6211 Remote Similarity NPC470443
0.6186 Remote Similarity NPC473073
0.617 Remote Similarity NPC186816
0.6129 Remote Similarity NPC44931
0.6129 Remote Similarity NPC275454
0.6064 Remote Similarity NPC233994
0.5957 Remote Similarity NPC173582
0.5957 Remote Similarity NPC265885
0.5957 Remote Similarity NPC181465
0.5957 Remote Similarity NPC215710
0.5957 Remote Similarity NPC473438
0.5957 Remote Similarity NPC253788
0.5895 Remote Similarity NPC22062
0.5895 Remote Similarity NPC65563
0.5895 Remote Similarity NPC473634
0.5895 Remote Similarity NPC470949
0.5895 Remote Similarity NPC138811
0.5876 Remote Similarity NPC211532
0.5876 Remote Similarity NPC488364
0.5833 Remote Similarity NPC204693
0.5816 Remote Similarity NPC209296
0.5789 Remote Similarity NPC39834
0.5773 Remote Similarity NPC475366
0.573 Remote Similarity NPC168822
0.5686 Remote Similarity NPC244875
0.567 Remote Similarity NPC473571
0.567 Remote Similarity NPC110941
0.5619 Remote Similarity NPC480441
0.5618 Remote Similarity NPC108831
0.5618 Remote Similarity NPC182634
0.5588 Remote Similarity NPC135358
0.5567 Remote Similarity NPC156869
0.5556 Remote Similarity NPC65711
0.5556 Remote Similarity NPC277205
0.5556 Remote Similarity NPC37919
0.5545 Remote Similarity NPC476472
0.5545 Remote Similarity NPC294815
0.5545 Remote Similarity NPC16194
0.55 Remote Similarity NPC473327
0.5474 Remote Similarity NPC477848
0.5464 Remote Similarity NPC67326
0.5455 Remote Similarity NPC488073
0.5417 Remote Similarity NPC254540
0.5408 Remote Similarity NPC303913
0.5392 Remote Similarity NPC89127
0.5347 Remote Similarity NPC122467
0.534 Remote Similarity NPC287889
0.5326 Remote Similarity NPC271692
0.5312 Remote Similarity NPC116864
0.5312 Remote Similarity NPC244776
0.53 Remote Similarity NPC488074
0.5288 Remote Similarity NPC470446
0.5275 Remote Similarity NPC19709
0.5269 Remote Similarity NPC117260
0.5263 Remote Similarity NPC99957
0.5253 Remote Similarity NPC473512
0.5238 Remote Similarity NPC603856
0.5234 Remote Similarity NPC292019
0.5234 Remote Similarity NPC202908
0.5217 Remote Similarity NPC609879
0.5196 Remote Similarity NPC51326
0.5192 Remote Similarity NPC101636
0.5192 Remote Similarity NPC470445
0.5185 Remote Similarity NPC25523
0.5161 Remote Similarity NPC245014
0.5158 Remote Similarity NPC181616
0.5146 Remote Similarity NPC142142
0.51 Remote Similarity NPC129827
0.5096 Remote Similarity NPC80068
0.5096 Remote Similarity NPC231194
0.5051 Remote Similarity NPC471079
0.5049 Remote Similarity NPC229409
0.5048 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 NPC571492 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
0.6413 Remote Similarity NPD6797 Phase 2
0.6354 Remote Similarity NPD7251 Phase 2
0.5816 Remote Similarity NPD7054 Phase 4
0.5631 Remote Similarity NPD7808 Phase 3
0.5481 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