Natural Product: NPC514662

Natural Product IDNPC514662
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
5,6-dihydroxy-2-[3-hydroxy-4-[(2~{S},3~{R},4~{S},5~{S},6~{R})-3,4,5-trihydroxy-6-(hydroxymethyl)tetrahydropyran-2-yl]oxy-phenyl]-7-[(2~{S},3~{R},4~{S},5~{S},6~{R})-3,4,5-trihydroxy-6-(hydroxymethyl)tetrahydropyran-2-yl]oxy-chromen-4-one
IUPAC Name 5,6-dihydroxy-2-[3-hydroxy-4-[(2~{S},3~{R},4~{S},5~{S},6~{R})-3,4,5-trihydroxy-6-(hydroxymethyl)tetrahydropyran-2-yl]oxy-phenyl]-7-[(2~{S},3~{R},4~{S},5~{S},6~{R})-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 MEDQUZYOAMPIAV-IJTBWITGSA-N
Standard InCHI InChI=1S/C27H30O17/c28-6-15-19(33)22(36)24(38)26(43-15)41-11-2-1-8(3-9(11)30)12-4-10(31)17-13(40-12)5-14(18(32)21(17)35)42-27-25(39)23(37)20(34)16(7-29)44-27/h1-5,15-16,19-20,22-30,32-39H,6-7H2/t15-,16-,19-,20-,22+,23+,24-,25-,26-,27-/m1/s1
SMILES O=C1C=C(C2=CC=C(O[C@@H]3O[C@H](CO)[C@@H](O)[C@H](O)[C@H]3O)C(O)=C2)OC2=CC(O[C@@H]3O[C@H](CO)[C@@H](O)[C@H](O)[C@H]3O)=C(O)C(O)=C12

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   626.15 Volume:   561.108
?
Van der Waals volume.
Dense:   1.116 LogP:   -0.039
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   0.846
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.501
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The logarithm of aqueous solubility value.
Rotatable Bonds:   7.0 Rigid Bonds:   30.0
TPSA:   289.66
?
Topological Polar Surface Area.
H-Bond Acceptor:   17.0
H-Bond Donor:   11.0 Rings:   5.0
Heavy Atoms:   17.0

MedChem Properties

QED Drug-Likeness Score:   0.116 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.803 Fsp3:   0.444
MCE-18:   122.949
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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:   0.64 Fluc inhibitor:   0.311
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.921
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.602
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.328 Promiscuous compounds:   0.605

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.677 MDCK Permeability:   -4.978
Pgp-inhibitor:   0.0 Pgp-substrate:   0.282
PAMPA:   1.0
?
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):   0.988
20% Bioavailability (F20%):   0.506 30% Bioavailability (F30%):   1.0
50% Bioavailability (F50%):   0.999

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.133
Plasma Protein Binding (PPB):   80.262% Volume Distribution (VD):   -0.086
Fu: 18.892%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.65
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:   0.003
HLM stability:   0.0
?
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):  1.579 Half-life (T1/2):  5.997

ADMET: Toxicity

hERG Blockers:  0.004 hERG Blockers (10um):  0.016
Human Hepatotoxicity (H-HT):  0.753 Drug-induced Liver Injury (DILI):  0.989
AMES Toxicity:  0.971 Rat Oral Acute Toxicity:  0.002
Maximum Recommended Daily Dose:  0.003 Skin Sensitization:  1.0
Carcinogencity:  0.099 Eye Corrosion:  0.0
Eye Irritation:  0.016 Respiratory Toxicity:  0.0
Drug-induced Neurotoxicity:  0.0 Ototoxicity:  0.993
Hematotoxicity:  0.269 Drug-induced Nephrotoxicity:  0.757
Genotoxicity:  0.898 RPMI-8226 Immunitoxicity:  0.13
A549 Cytotoxicity:  0.438 Hek293 Cytotoxicity:  0.212
BCF:   0.245
?
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:   2.582
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.34
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.314
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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
NPO13512 Opuntia ficus-indica Species Cactaceae Eukaryota Flowers n.a. n.a. DOI[10.1016/j.indcrop.2014.08.046]
NPO13512 Opuntia ficus-indica Species Cactaceae Eukaryota n.a. n.a. n.a. PMID[39339457]
NPO13512 Opuntia ficus-indica Species Cactaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO13512 Opuntia ficus-indica Species Cactaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO13512 Opuntia ficus-indica Species Cactaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO13512 Opuntia ficus-indica Species Cactaceae 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 NPC514662 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
0.8472 Intermediate Similarity NPC58716
0.8194 Intermediate Similarity NPC45618
0.8082 Intermediate Similarity NPC146792
0.7895 Intermediate Similarity NPC605067
0.7532 Intermediate Similarity NPC191306
0.7436 Intermediate Similarity NPC22832
0.7024 Intermediate Similarity NPC3583
0.6625 Remote Similarity NPC245014
0.6582 Remote Similarity NPC58053
0.65 Remote Similarity NPC95090
0.65 Remote Similarity NPC27408
0.65 Remote Similarity NPC189142
0.65 Remote Similarity NPC77660
0.6463 Remote Similarity NPC285197
0.642 Remote Similarity NPC186807
0.642 Remote Similarity NPC84265
0.642 Remote Similarity NPC45638
0.6386 Remote Similarity NPC486578
0.6386 Remote Similarity NPC601144
0.6375 Remote Similarity NPC261866
0.6374 Remote Similarity NPC256760
0.6341 Remote Similarity NPC201292
0.6265 Remote Similarity NPC609451
0.6197 Remote Similarity NPC212678
0.619 Remote Similarity NPC243930
0.6173 Remote Similarity NPC39360
0.6173 Remote Similarity NPC29763
0.6173 Remote Similarity NPC210003
0.6173 Remote Similarity NPC143851
0.6145 Remote Similarity NPC21100
0.6118 Remote Similarity NPC311830
0.6118 Remote Similarity NPC602805
0.6118 Remote Similarity NPC607707
0.6098 Remote Similarity NPC93337
0.6098 Remote Similarity NPC168822
0.6092 Remote Similarity NPC251417
0.6071 Remote Similarity NPC60735
0.6071 Remote Similarity NPC26230
0.6047 Remote Similarity NPC469931
0.6024 Remote Similarity NPC105025
0.6 Remote Similarity NPC21666
0.6 Remote Similarity NPC601710
0.6 Remote Similarity NPC609478
0.5747 Remote Similarity NPC88023
0.5747 Remote Similarity NPC309025
0.5714 Remote Similarity NPC607513
0.5632 Remote Similarity NPC284960
0.5632 Remote Similarity NPC120099
0.5595 Remote Similarity NPC289667
0.5517 Remote Similarity NPC237435
0.5495 Remote Similarity NPC603300
0.5474 Remote Similarity NPC209296
0.5474 Remote Similarity NPC150767
0.5465 Remote Similarity NPC610763
0.5455 Remote Similarity NPC43211
0.5412 Remote Similarity NPC254306
0.5412 Remote Similarity NPC19709
0.5412 Remote Similarity NPC83283
0.5402 Remote Similarity NPC182045
0.5385 Remote Similarity NPC8856
0.5349 Remote Similarity NPC259152
0.5333 Remote Similarity NPC198199
0.5287 Remote Similarity NPC181712
0.527 Remote Similarity NPC57030
0.5227 Remote Similarity NPC222936
0.5222 Remote Similarity NPC307518
0.52 Remote Similarity NPC162313
0.5185 Remote Similarity NPC120952
0.5172 Remote Similarity NPC297987
0.5172 Remote Similarity NPC64305
0.5172 Remote Similarity NPC277205
0.5172 Remote Similarity NPC37919
0.5172 Remote Similarity NPC136042
0.5165 Remote Similarity NPC190003
0.5165 Remote Similarity NPC601586
0.5116 Remote Similarity NPC473043
0.5116 Remote Similarity NPC331652
0.5114 Remote Similarity NPC84362
0.5111 Remote Similarity NPC115760
0.5111 Remote Similarity NPC229729
0.5109 Remote Similarity NPC477848
0.5109 Remote Similarity NPC600989
0.5065 Remote Similarity NPC160951
0.5065 Remote Similarity NPC283600
0.5063 Remote Similarity NPC485299
0.5057 Remote Similarity NPC110349
0.5056 Remote Similarity NPC472459
0.5056 Remote Similarity NPC27942
0.5056 Remote Similarity NPC117260
0.5054 Remote Similarity NPC254540

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC514662 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
0.5517 Remote Similarity NPD4338 Clinical (unspecified phase)
0.5474 Remote Similarity NPD7054 Phase 4

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