Natural Product: NPC592857

Natural Product IDNPC592857
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~{S},5~{S},6~{R})-6-[[(2~{R},3~{R},4~{R},5~{R},6~{S})-3,4-dihydroxy-6-methyl-5-[(2~{S},3~{R},4~{S},5~{R},6~{S})-3,4,5-trihydroxy-6-methyl-tetrahydropyran-2-yl]oxy-tetrahydropyran-2-yl]oxymethyl]-3,4,5-trihydroxy-tetrahydropyran-2-yl]oxy-5-hydroxy-2-(4-hydroxy-3-methoxy-phenyl)-7-methoxy-chromen-4-one
IUPAC Name 3-[(2~{S},3~{R},4~{S},5~{S},6~{R})-6-[[(2~{R},3~{R},4~{R},5~{R},6~{S})-3,4-dihydroxy-6-methyl-5-[(2~{S},3~{R},4~{S},5~{R},6~{S})-3,4,5-trihydroxy-6-methyl-tetrahydropyran-2-yl]oxy-tetrahydropyran-2-yl]oxymethyl]-3,4,5-trihydroxy-tetrahydropyran-2-yl]oxy-5-hydroxy-2-(4-hydroxy-3-methoxy-phenyl)-7-methoxy-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 RKDYSYBFDLUFOO-HNGXFMMISA-N
Standard InCHI InChI=1S/C35H44O20/c1-11-21(38)24(41)27(44)34(50-11)54-30-12(2)51-33(29(46)26(30)43)49-10-19-22(39)25(42)28(45)35(53-19)55-32-23(40)20-16(37)8-14(47-3)9-18(20)52-31(32)13-5-6-15(36)17(7-13)48-4/h5-9,11-12,19,21-22,24-30,33-39,41-46H,10H2,1-4H3/t11-,12-,19+,21-,22+,24-,25-,26+,27+,28+,29+,30-,33+,34-,35-/m0/s1
SMILES COC1=CC(O)=C2C(=O)C(O[C@@H]3O[C@H](CO[C@@H]4O[C@@H](C)[C@H](O[C@@H]5O[C@@H](C)[C@H](O)[C@H](O)[C@H]5O)[C@H](O)[C@H]4O)[C@@H](O)[C@H](O)[C@H]3O)=C(C3=CC=C(O)C(OC)=C3)OC2=C1

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   784.24 Volume:   717.29
?
Van der Waals volume.
Dense:   1.093 LogP:   0.71
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.394
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -1.986
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   10.0 Rigid Bonds:   36.0
TPSA:   306.35
?
Topological Polar Surface Area.
H-Bond Acceptor:   20.0
H-Bond Donor:   10.0 Rings:   6.0
Heavy Atoms:   20.0

MedChem Properties

QED Drug-Likeness Score:   0.104 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.36 Fsp3:   0.571
MCE-18:   152.455
?
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:   0.617 Fluc inhibitor:   0.297
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.729
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.424
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.079 Promiscuous compounds:   0.42

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.381 MDCK Permeability:   -5.323
Pgp-inhibitor:   0.0 Pgp-substrate:   0.812
PAMPA:   0.999
?
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):   0.929
20% Bioavailability (F20%):   0.026 30% Bioavailability (F30%):   0.937
50% Bioavailability (F50%):   0.998

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.021
Plasma Protein Binding (PPB):   77.256% Volume Distribution (VD):   -0.249
Fu: 21.697%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.921
BSEP inhibitor:   0.003

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:   0.009
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.001
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.228
HLM stability:   0.737
?
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):  0.775 Half-life (T1/2):  4.38

ADMET: Toxicity

hERG Blockers:  0.01 hERG Blockers (10um):  0.081
Human Hepatotoxicity (H-HT):  0.451 Drug-induced Liver Injury (DILI):  0.982
AMES Toxicity:  0.973 Rat Oral Acute Toxicity:  0.006
Maximum Recommended Daily Dose:  0.008 Skin Sensitization:  0.999
Carcinogencity:  0.025 Eye Corrosion:  0.0
Eye Irritation:  0.021 Respiratory Toxicity:  0.004
Drug-induced Neurotoxicity:  0.0 Ototoxicity:  0.985
Hematotoxicity:  0.239 Drug-induced Nephrotoxicity:  0.532
Genotoxicity:  0.445 RPMI-8226 Immunitoxicity:  0.336
A549 Cytotoxicity:  0.859 Hek293 Cytotoxicity:  0.663
BCF:   0.436
?
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:   3.143
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.677
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.869
?
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
NPO13072 Rhamnus formosana Species Rhamnaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO13072 Rhamnus formosana Species Rhamnaceae 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 NPC592857 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
0.7551 Intermediate Similarity NPC476472
0.7551 Intermediate Similarity NPC294815
0.7551 Intermediate Similarity NPC16194
0.7396 Intermediate Similarity NPC186816
0.6733 Remote Similarity NPC470443
0.6602 Remote Similarity NPC142142
0.6471 Remote Similarity NPC126784
0.6471 Remote Similarity NPC241423
0.6449 Remote Similarity NPC89052
0.6421 Remote Similarity NPC46420
0.6421 Remote Similarity NPC271692
0.6373 Remote Similarity NPC473571
0.6373 Remote Similarity NPC110941
0.6346 Remote Similarity NPC209296
0.6346 Remote Similarity NPC473327
0.6337 Remote Similarity NPC173582
0.6337 Remote Similarity NPC265885
0.6337 Remote Similarity NPC181465
0.6337 Remote Similarity NPC215710
0.6337 Remote Similarity NPC67105
0.6337 Remote Similarity NPC473438
0.6337 Remote Similarity NPC253788
0.6311 Remote Similarity NPC153755
0.6275 Remote Similarity NPC203259
0.6275 Remote Similarity NPC33054
0.6275 Remote Similarity NPC210073
0.6275 Remote Similarity NPC176740
0.6275 Remote Similarity NPC471725
0.6275 Remote Similarity NPC134532
0.6275 Remote Similarity NPC602582
0.6273 Remote Similarity NPC480441
0.6273 Remote Similarity NPC25523
0.6262 Remote Similarity NPC470446
0.6182 Remote Similarity NPC173837
0.6176 Remote Similarity NPC44931
0.6168 Remote Similarity NPC470449
0.6162 Remote Similarity NPC223747
0.6122 Remote Similarity NPC611303
0.6117 Remote Similarity NPC22062
0.6117 Remote Similarity NPC473634
0.6117 Remote Similarity NPC138811
0.6075 Remote Similarity NPC473073
0.6042 Remote Similarity NPC249281
0.6 Remote Similarity NPC121703
0.5981 Remote Similarity NPC488089
0.5979 Remote Similarity NPC158674
0.5962 Remote Similarity NPC65563
0.5962 Remote Similarity NPC470949
0.5941 Remote Similarity NPC276377
0.5865 Remote Similarity NPC39834
0.5865 Remote Similarity NPC227508
0.5714 Remote Similarity NPC209550
0.5701 Remote Similarity NPC488073
0.5701 Remote Similarity NPC240306
0.5688 Remote Similarity NPC486577
0.5686 Remote Similarity NPC116458
0.5686 Remote Similarity NPC246943
0.5686 Remote Similarity NPC605784
0.5667 Remote Similarity NPC192539
0.566 Remote Similarity NPC150164
0.5636 Remote Similarity NPC471669
0.5625 Remote Similarity NPC14187
0.5596 Remote Similarity NPC32641
0.5596 Remote Similarity NPC256188
0.5596 Remote Similarity NPC606657
0.5565 Remote Similarity NPC217520
0.5556 Remote Similarity NPC488074
0.5537 Remote Similarity NPC175429
0.5524 Remote Similarity NPC251417
0.5517 Remote Similarity NPC277532
0.5514 Remote Similarity NPC303913
0.5514 Remote Similarity NPC156869
0.5495 Remote Similarity NPC220173
0.5481 Remote Similarity NPC203050
0.5481 Remote Similarity NPC488072
0.5481 Remote Similarity NPC225434
0.5472 Remote Similarity NPC471079
0.547 Remote Similarity NPC139571
0.5455 Remote Similarity NPC138990
0.5455 Remote Similarity NPC72016
0.5455 Remote Similarity NPC35119
0.5421 Remote Similarity NPC67326
0.5391 Remote Similarity NPC189564
0.5385 Remote Similarity NPC78326
0.5364 Remote Similarity NPC12013
0.5364 Remote Similarity NPC11432
0.5364 Remote Similarity NPC483415
0.5364 Remote Similarity NPC477613
0.5357 Remote Similarity NPC195257
0.5347 Remote Similarity NPC297987
0.5347 Remote Similarity NPC136042
0.5345 Remote Similarity NPC292019
0.5345 Remote Similarity NPC202908
0.5327 Remote Similarity NPC609888
0.5321 Remote Similarity NPC204693
0.5315 Remote Similarity NPC122467
0.531 Remote Similarity NPC470445
0.5304 Remote Similarity NPC203145
0.5294 Remote Similarity NPC84362
0.5294 Remote Similarity NPC27640
0.5288 Remote Similarity NPC101026
0.5288 Remote Similarity NPC488077
0.5263 Remote Similarity NPC135358
0.5259 Remote Similarity NPC473072
0.5259 Remote Similarity NPC470451
0.5246 Remote Similarity NPC488079
0.5243 Remote Similarity NPC59534
0.5238 Remote Similarity NPC311830
0.5229 Remote Similarity NPC605592
0.5221 Remote Similarity NPC470447
0.521 Remote Similarity NPC488087
0.5189 Remote Similarity NPC601586
0.5185 Remote Similarity NPC139320
0.5179 Remote Similarity NPC473623
0.5175 Remote Similarity NPC101636
0.5172 Remote Similarity NPC11468
0.5146 Remote Similarity NPC305811
0.514 Remote Similarity NPC116864
0.514 Remote Similarity NPC244776
0.5138 Remote Similarity NPC471748
0.5138 Remote Similarity NPC275454
0.5135 Remote Similarity NPC475366
0.513 Remote Similarity NPC602448
0.5098 Remote Similarity NPC289667
0.5098 Remote Similarity NPC238376
0.5089 Remote Similarity NPC65711
0.5088 Remote Similarity NPC89127
0.5086 Remote Similarity NPC470455
0.5083 Remote Similarity NPC488083
0.5082 Remote Similarity NPC198199
0.5048 Remote Similarity NPC219904
0.5046 Remote Similarity NPC187379
0.5043 Remote Similarity NPC221342
0.5043 Remote Similarity NPC476470

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC592857 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
0.703 Intermediate Similarity NPD7251 Phase 2
0.6762 Remote Similarity NPD7808 Phase 3
0.6346 Remote Similarity NPD7054 Phase 4
0.6275 Remote Similarity NPD6797 Phase 2
0.5304 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