Natural Product: NPC514882

Natural Product IDNPC514882
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
3-[(2~{S},3~{R},4~{R},5~{S},6~{S})-6-[[(2~{R},3~{R},4~{S})-3,4-dihydroxy-4-(hydroxymethyl)tetrahydrofuran-2-yl]oxymethyl]-3,4,5-trihydroxy-tetrahydropyran-2-yl]oxy-5-hydroxy-2-(4-hydroxy-3-methoxy-phenyl)-7-[(2~{S},3~{R},4~{S},5~{R},6~{R})-3,4,5-trihydroxy-6-methyl-tetrahydropyran-2-yl]oxy-chromen-4-one
IUPAC Name 3-[(2~{S},3~{R},4~{R},5~{S},6~{S})-6-[[(2~{R},3~{R},4~{S})-3,4-dihydroxy-4-(hydroxymethyl)tetrahydrofuran-2-yl]oxymethyl]-3,4,5-trihydroxy-tetrahydropyran-2-yl]oxy-5-hydroxy-2-(4-hydroxy-3-methoxy-phenyl)-7-[(2~{S},3~{R},4~{S},5~{R},6~{R})-3,4,5-trihydroxy-6-methyl-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 IMCHSJLXDHJNGT-CDZZHRQNSA-N
Standard InCHI InChI=1S/C33H40O20/c1-11-20(37)23(40)25(42)30(49-11)50-13-6-15(36)19-17(7-13)51-27(12-3-4-14(35)16(5-12)46-2)28(22(19)39)53-31-26(43)24(41)21(38)18(52-31)8-47-32-29(44)33(45,9-34)10-48-32/h3-7,11,18,20-21,23-26,29-32,34-38,40-45H,8-10H2,1-2H3/t11-,18+,20+,21-,23+,24-,25-,26-,29+,30+,31+,32-,33+/m1/s1
SMILES COC1=CC(C2=C(O[C@@H]3O[C@@H](CO[C@@H]4OC[C@@](O)(CO)[C@H]4O)[C@@H](O)[C@@H](O)[C@H]3O)C(=O)C3=C(O)C=C(O[C@@H]4O[C@H](C)[C@H](O)[C@H](O)[C@H]4O)C=C3O2)=CC=C1O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   756.21 Volume:   682.698
?
Van der Waals volume.
Dense:   1.108 LogP:   1.122
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.482
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.332
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The logarithm of aqueous solubility value.
Rotatable Bonds:   10.0 Rigid Bonds:   35.0
TPSA:   317.35
?
Topological Polar Surface Area.
H-Bond Acceptor:   20.0
H-Bond Donor:   11.0 Rings:   6.0
Heavy Atoms:   20.0

MedChem Properties

QED Drug-Likeness Score:   0.097 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.381 Fsp3:   0.545
MCE-18:   152.608
?
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:   0
Colloidal aggregators:   0.605 Fluc inhibitor:   0.272
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.777
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.561
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.07 Promiscuous compounds:   0.528

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.508 MDCK Permeability:   -5.287
Pgp-inhibitor:   0.0 Pgp-substrate:   0.97
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):   0.734
20% Bioavailability (F20%):   0.175 30% Bioavailability (F30%):   0.832
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.033
Plasma Protein Binding (PPB):   80.633% Volume Distribution (VD):   -0.173
Fu: 18.852%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.981
OATP1B3 inhibitor:   0.999 BCRP inhibitor:   0.57
BSEP inhibitor:   0.036

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:   0.262
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.344
HLM stability:   0.004
?
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):  1.159 Half-life (T1/2):  4.424

ADMET: Toxicity

hERG Blockers:  0.008 hERG Blockers (10um):  0.105
Human Hepatotoxicity (H-HT):  0.661 Drug-induced Liver Injury (DILI):  0.819
AMES Toxicity:  0.954 Rat Oral Acute Toxicity:  0.006
Maximum Recommended Daily Dose:  0.008 Skin Sensitization:  1.0
Carcinogencity:  0.033 Eye Corrosion:  0.0
Eye Irritation:  0.019 Respiratory Toxicity:  0.002
Drug-induced Neurotoxicity:  0.001 Ototoxicity:  0.982
Hematotoxicity:  0.22 Drug-induced Nephrotoxicity:  0.591
Genotoxicity:  0.32 RPMI-8226 Immunitoxicity:  0.156
A549 Cytotoxicity:  0.28 Hek293 Cytotoxicity:  0.375
BCF:   0.367
?
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:   2.904
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.593
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.649
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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
NPO7808 Viscum album Species Viscaceae Eukaryota n.a. n.a. n.a. PMID[35357239]
NPO7808 Viscum album Species Viscaceae Eukaryota n.a. twig n.a. PMID[9179367]
NPO7808 Viscum album Species Viscaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO7808 Viscum album Species Viscaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO7808 Viscum album Species Viscaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO7808 Viscum album Species Viscaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO7808 Viscum album Species Viscaceae 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 NPC514882 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
0.7216 Intermediate Similarity NPC186816
0.7113 Intermediate Similarity NPC150164
0.703 Intermediate Similarity NPC476472
0.703 Intermediate Similarity NPC294815
0.703 Intermediate Similarity NPC16194
0.6733 Remote Similarity NPC65711
0.6596 Remote Similarity NPC46420
0.6596 Remote Similarity NPC271692
0.6458 Remote Similarity NPC611303
0.6429 Remote Similarity NPC276377
0.6383 Remote Similarity NPC249281
0.6327 Remote Similarity NPC223747
0.6311 Remote Similarity NPC153755
0.6296 Remote Similarity NPC121703
0.625 Remote Similarity NPC470443
0.619 Remote Similarity NPC72016
0.6176 Remote Similarity NPC67105
0.6162 Remote Similarity NPC116458
0.6162 Remote Similarity NPC246943
0.6162 Remote Similarity NPC605784
0.6146 Remote Similarity NPC158674
0.6038 Remote Similarity NPC209296
0.6 Remote Similarity NPC126784
0.6 Remote Similarity NPC241423
0.5982 Remote Similarity NPC480441
0.5982 Remote Similarity NPC25523
0.5981 Remote Similarity NPC142142
0.598 Remote Similarity NPC251417
0.5962 Remote Similarity NPC210073
0.5905 Remote Similarity NPC473571
0.5905 Remote Similarity NPC110941
0.5888 Remote Similarity NPC473327
0.5888 Remote Similarity NPC606657
0.5865 Remote Similarity NPC173582
0.5865 Remote Similarity NPC44931
0.5865 Remote Similarity NPC265885
0.5865 Remote Similarity NPC181465
0.5865 Remote Similarity NPC215710
0.5865 Remote Similarity NPC473438
0.5865 Remote Similarity NPC253788
0.5856 Remote Similarity NPC89052
0.5833 Remote Similarity NPC486577
0.581 Remote Similarity NPC22062
0.581 Remote Similarity NPC203259
0.581 Remote Similarity NPC473634
0.581 Remote Similarity NPC33054
0.581 Remote Similarity NPC176740
0.581 Remote Similarity NPC471725
0.581 Remote Similarity NPC134532
0.581 Remote Similarity NPC138811
0.581 Remote Similarity NPC602582
0.5789 Remote Similarity NPC277532
0.5752 Remote Similarity NPC173837
0.5714 Remote Similarity NPC227508
0.5657 Remote Similarity NPC297987
0.5657 Remote Similarity NPC136042
0.5636 Remote Similarity NPC473073
0.5631 Remote Similarity NPC203050
0.5631 Remote Similarity NPC488072
0.5631 Remote Similarity NPC225434
0.56 Remote Similarity NPC84362
0.5596 Remote Similarity NPC32641
0.5596 Remote Similarity NPC256188
0.5596 Remote Similarity NPC35119
0.5583 Remote Similarity NPC209550
0.5565 Remote Similarity NPC217520
0.5565 Remote Similarity NPC303694
0.5556 Remote Similarity NPC488073
0.5556 Remote Similarity NPC238376
0.5556 Remote Similarity NPC488074
0.5545 Remote Similarity NPC59534
0.5537 Remote Similarity NPC192539
0.5534 Remote Similarity NPC311830
0.5514 Remote Similarity NPC65563
0.5514 Remote Similarity NPC470949
0.5487 Remote Similarity NPC14187
0.5481 Remote Similarity NPC601586
0.5472 Remote Similarity NPC471079
0.547 Remote Similarity NPC139571
0.5446 Remote Similarity NPC27640
0.5437 Remote Similarity NPC101026
0.5437 Remote Similarity NPC488077
0.5421 Remote Similarity NPC67326
0.5421 Remote Similarity NPC39834
0.5413 Remote Similarity NPC240306
0.54 Remote Similarity NPC289667
0.54 Remote Similarity NPC108831
0.54 Remote Similarity NPC182634
0.5385 Remote Similarity NPC78326
0.5372 Remote Similarity NPC488079
0.537 Remote Similarity NPC156869
0.5327 Remote Similarity NPC609888
0.531 Remote Similarity NPC235575
0.531 Remote Similarity NPC470445
0.5294 Remote Similarity NPC305811
0.5285 Remote Similarity NPC175429
0.5278 Remote Similarity NPC275454
0.5263 Remote Similarity NPC470446
0.5263 Remote Similarity NPC135358
0.5248 Remote Similarity NPC19709
0.5229 Remote Similarity NPC303913
0.5221 Remote Similarity NPC195257
0.5221 Remote Similarity NPC470447
0.5221 Remote Similarity NPC220173
0.5203 Remote Similarity NPC138990
0.5192 Remote Similarity NPC219904
0.5179 Remote Similarity NPC473623
0.5175 Remote Similarity NPC101636
0.5175 Remote Similarity NPC470449
0.5149 Remote Similarity NPC111929
0.5149 Remote Similarity NPC320283
0.5149 Remote Similarity NPC331652
0.5149 Remote Similarity NPC41121
0.5146 Remote Similarity NPC349108
0.5143 Remote Similarity NPC601144
0.514 Remote Similarity NPC116864
0.514 Remote Similarity NPC244776
0.514 Remote Similarity NPC265115
0.5135 Remote Similarity NPC64425
0.5133 Remote Similarity NPC488089
0.5133 Remote Similarity NPC600130
0.5128 Remote Similarity NPC189564
0.5098 Remote Similarity NPC127546
0.5098 Remote Similarity NPC57625
0.5098 Remote Similarity NPC173637
0.5098 Remote Similarity NPC317489
0.5098 Remote Similarity NPC223424
0.5098 Remote Similarity NPC600591
0.5094 Remote Similarity NPC206123
0.5085 Remote Similarity NPC292019
0.5085 Remote Similarity NPC202908
0.5085 Remote Similarity NPC480796
0.5049 Remote Similarity NPC265530
0.5046 Remote Similarity NPC480466
0.5044 Remote Similarity NPC229409

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC514882 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
0.6699 Remote Similarity NPD7251 Phase 2
0.6449 Remote Similarity NPD7808 Phase 3
0.6038 Remote Similarity NPD7054 Phase 4
0.581 Remote Similarity NPD6797 Phase 2

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