Natural Product: NPC539691

Natural Product IDNPC539691
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~{R})-6-[[(2~{R},3~{R},4~{S},5~{S},6~{S})-3,5-dihydroxy-6-methyl-4-[(2~{S},3~{R},4~{S},5~{R},6~{R})-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-hydroxyphenyl)-7-methoxy-chromen-4-one
IUPAC Name 3-[(2~{S},3~{R},4~{R},5~{S},6~{R})-6-[[(2~{R},3~{R},4~{S},5~{S},6~{S})-3,5-dihydroxy-6-methyl-4-[(2~{S},3~{R},4~{S},5~{R},6~{R})-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-hydroxyphenyl)-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 MQMTVWHXCSRCER-HUTZIQEMSA-N
Standard InCHI InChI=1S/C34H42O19/c1-11-20(37)24(41)26(43)33(49-11)52-30-21(38)12(2)48-32(28(30)45)47-10-18-22(39)25(42)27(44)34(51-18)53-31-23(40)19-16(36)8-15(46-3)9-17(19)50-29(31)13-4-6-14(35)7-5-13/h4-9,11-12,18,20-22,24-28,30,32-39,41-45H,10H2,1-3H3/t11-,12+,18-,20+,21+,22-,24+,25-,26-,27-,28-,30+,32-,33+,34+/m1/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](O[C@@H]5O[C@H](C)[C@H](O)[C@H](O)[C@H]5O)[C@H]4O)[C@@H](O)[C@@H](O)[C@H]3O)=C(C3=CC=C(O)C=C3)OC2=C1

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   754.23 Volume:   691.204
?
Van der Waals volume.
Dense:   1.091 LogP:   0.955
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.539
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.152
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   9.0 Rigid Bonds:   36.0
TPSA:   297.12
?
Topological Polar Surface Area.
H-Bond Acceptor:   19.0
H-Bond Donor:   10.0 Rings:   6.0
Heavy Atoms:   19.0

MedChem Properties

QED Drug-Likeness Score:   0.11 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.296 Fsp3:   0.559
MCE-18:   149.774
?
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:   0 PAINS Alert:   0
Colloidal aggregators:   0.613 Fluc inhibitor:   0.309
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.666
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.469
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.122 Promiscuous compounds:   0.423

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.529 MDCK Permeability:   -5.183
Pgp-inhibitor:   0.0 Pgp-substrate:   0.959
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):   0.364
20% Bioavailability (F20%):   0.057 30% Bioavailability (F30%):   0.92
50% Bioavailability (F50%):   0.999

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.05
Plasma Protein Binding (PPB):   80.848% Volume Distribution (VD):   -0.113
Fu: 17.177%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.998
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.494
BSEP inhibitor:   0.015

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:   0.001
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.202
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.997
HLM stability:   0.774
?
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):  0.86 Half-life (T1/2):  4.338

ADMET: Toxicity

hERG Blockers:  0.017 hERG Blockers (10um):  0.122
Human Hepatotoxicity (H-HT):  0.348 Drug-induced Liver Injury (DILI):  0.927
AMES Toxicity:  0.964 Rat Oral Acute Toxicity:  0.011
Maximum Recommended Daily Dose:  0.019 Skin Sensitization:  0.999
Carcinogencity:  0.035 Eye Corrosion:  0.0
Eye Irritation:  0.047 Respiratory Toxicity:  0.009
Drug-induced Neurotoxicity:  0.002 Ototoxicity:  0.979
Hematotoxicity:  0.244 Drug-induced Nephrotoxicity:  0.317
Genotoxicity:  0.47 RPMI-8226 Immunitoxicity:  0.175
A549 Cytotoxicity:  0.858 Hek293 Cytotoxicity:  0.843
BCF:   0.421
?
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:   3.144
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.737
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.845
?
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
NPO27803 Cercidiphyllum japonicum Species Cercidiphyllaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO51667 Rhamnus thymifolius Genus Rhamnaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO51330 Rhamnus leptophylla Species Rhamnaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO54783 Rhamnus nepalensis Genus Rhamnaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO27803 Cercidiphyllum japonicum Species Cercidiphyllaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO27803 Cercidiphyllum japonicum Species Cercidiphyllaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO27803 Cercidiphyllum japonicum Species Cercidiphyllaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO27803 Cercidiphyllum japonicum Species Cercidiphyllaceae 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 NPC539691 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
0.8315 Intermediate Similarity NPC186816
0.7653 Intermediate Similarity NPC189564
0.7471 Intermediate Similarity NPC46420
0.7396 Intermediate Similarity NPC142142
0.7128 Intermediate Similarity NPC173582
0.7128 Intermediate Similarity NPC265885
0.7128 Intermediate Similarity NPC181465
0.7128 Intermediate Similarity NPC215710
0.7128 Intermediate Similarity NPC473438
0.7128 Intermediate Similarity NPC253788
0.7059 Intermediate Similarity NPC292019
0.7059 Intermediate Similarity NPC202908
0.7045 Intermediate Similarity NPC249281
0.699 Remote Similarity NPC25523
0.6979 Remote Similarity NPC473571
0.6979 Remote Similarity NPC110941
0.69 Remote Similarity NPC101636
0.6882 Remote Similarity NPC276377
0.6863 Remote Similarity NPC203145
0.6771 Remote Similarity NPC44931
0.6703 Remote Similarity NPC271692
0.6701 Remote Similarity NPC65563
0.6701 Remote Similarity NPC470949
0.6667 Remote Similarity NPC470443
0.6596 Remote Similarity NPC116458
0.6596 Remote Similarity NPC246943
0.6566 Remote Similarity NPC240306
0.6538 Remote Similarity NPC121703
0.6531 Remote Similarity NPC203259
0.6531 Remote Similarity NPC33054
0.6531 Remote Similarity NPC176740
0.6531 Remote Similarity NPC471725
0.6531 Remote Similarity NPC134532
0.6531 Remote Similarity NPC150164
0.6531 Remote Similarity NPC602582
0.6471 Remote Similarity NPC476472
0.6471 Remote Similarity NPC294815
0.6471 Remote Similarity NPC16194
0.6436 Remote Similarity NPC32641
0.6436 Remote Similarity NPC256188
0.6429 Remote Similarity NPC67105
0.64 Remote Similarity NPC126784
0.64 Remote Similarity NPC241423
0.6364 Remote Similarity NPC210073
0.6355 Remote Similarity NPC480441
0.6327 Remote Similarity NPC471079
0.6275 Remote Similarity NPC72016
0.6275 Remote Similarity NPC35119
0.6275 Remote Similarity NPC473327
0.6275 Remote Similarity NPC606657
0.6237 Remote Similarity NPC297987
0.6237 Remote Similarity NPC158674
0.62 Remote Similarity NPC22062
0.62 Remote Similarity NPC473634
0.62 Remote Similarity NPC138811
0.6195 Remote Similarity NPC209550
0.6154 Remote Similarity NPC473073
0.6117 Remote Similarity NPC209296
0.61 Remote Similarity NPC39834
0.6095 Remote Similarity NPC470449
0.6042 Remote Similarity NPC611303
0.6019 Remote Similarity NPC12013
0.6019 Remote Similarity NPC11432
0.6019 Remote Similarity NPC477613
0.5981 Remote Similarity NPC470455
0.5941 Remote Similarity NPC227508
0.5918 Remote Similarity NPC605784
0.5913 Remote Similarity NPC138990
0.5905 Remote Similarity NPC486577
0.5882 Remote Similarity NPC303913
0.5862 Remote Similarity NPC175429
0.5851 Remote Similarity NPC111929
0.5851 Remote Similarity NPC320283
0.5851 Remote Similarity NPC41121
0.5849 Remote Similarity NPC470447
0.5833 Remote Similarity NPC14187
0.5794 Remote Similarity NPC298171
0.5784 Remote Similarity NPC67326
0.5769 Remote Similarity NPC488074
0.5741 Remote Similarity NPC602448
0.5728 Remote Similarity NPC156869
0.5714 Remote Similarity NPC277532
0.566 Remote Similarity NPC483416
0.5648 Remote Similarity NPC221342
0.5648 Remote Similarity NPC476470
0.5625 Remote Similarity NPC108831
0.5625 Remote Similarity NPC182634
0.5619 Remote Similarity NPC488073
0.5619 Remote Similarity NPC64425
0.5596 Remote Similarity NPC470446
0.5567 Remote Similarity NPC136042
0.5565 Remote Similarity NPC488086
0.5521 Remote Similarity NPC331652
0.5514 Remote Similarity NPC122467
0.551 Remote Similarity NPC84362
0.551 Remote Similarity NPC27640
0.5508 Remote Similarity NPC241781
0.5495 Remote Similarity NPC89052
0.549 Remote Similarity NPC116864
0.549 Remote Similarity NPC244776
0.5472 Remote Similarity NPC153755
0.5464 Remote Similarity NPC289667
0.5463 Remote Similarity NPC488089
0.5455 Remote Similarity NPC135358
0.5437 Remote Similarity NPC251417
0.5392 Remote Similarity NPC476215
0.5377 Remote Similarity NPC129264
0.5377 Remote Similarity NPC204693
0.5364 Remote Similarity NPC470445
0.5354 Remote Similarity NPC24043
0.5327 Remote Similarity NPC470125
0.5327 Remote Similarity NPC64051
0.5317 Remote Similarity NPC249560
0.5315 Remote Similarity NPC470450
0.5306 Remote Similarity NPC127546
0.5306 Remote Similarity NPC57625
0.5306 Remote Similarity NPC173637
0.5306 Remote Similarity NPC317489
0.5306 Remote Similarity NPC238376
0.5306 Remote Similarity NPC223424
0.5306 Remote Similarity NPC600591
0.53 Remote Similarity NPC59534
0.5294 Remote Similarity NPC223747
0.5283 Remote Similarity NPC473512
0.5283 Remote Similarity NPC129827
0.5278 Remote Similarity NPC65711
0.5278 Remote Similarity NPC483415
0.5273 Remote Similarity NPC85751
0.5273 Remote Similarity NPC19240
0.5273 Remote Similarity NPC89127
0.5263 Remote Similarity NPC173837
0.5248 Remote Similarity NPC129217
0.5242 Remote Similarity NPC473554
0.5242 Remote Similarity NPC483159
0.5242 Remote Similarity NPC483160
0.5238 Remote Similarity NPC187379
0.5238 Remote Similarity NPC609888
0.5229 Remote Similarity NPC473623
0.5229 Remote Similarity NPC270448
0.5225 Remote Similarity NPC36138
0.5221 Remote Similarity NPC11468
0.52 Remote Similarity NPC305811
0.5192 Remote Similarity NPC265115
0.5189 Remote Similarity NPC275454
0.5189 Remote Similarity NPC163242
0.5189 Remote Similarity NPC272068
0.5175 Remote Similarity NPC470451
0.5172 Remote Similarity NPC146679
0.5152 Remote Similarity NPC77672
0.5152 Remote Similarity NPC133671
0.5152 Remote Similarity NPC19709
0.5152 Remote Similarity NPC135391
0.5152 Remote Similarity NPC78263
0.5152 Remote Similarity NPC250069
0.514 Remote Similarity NPC293626
0.514 Remote Similarity NPC479405
0.514 Remote Similarity NPC605592
0.5138 Remote Similarity NPC245452
0.5135 Remote Similarity NPC471669
0.5133 Remote Similarity NPC214621
0.5133 Remote Similarity NPC34267
0.5128 Remote Similarity NPC470716
0.5126 Remote Similarity NPC298666
0.5126 Remote Similarity NPC480445
0.51 Remote Similarity NPC265530
0.5098 Remote Similarity NPC159579
0.5098 Remote Similarity NPC219904
0.5094 Remote Similarity NPC139320
0.5093 Remote Similarity NPC479404
0.5093 Remote Similarity NPC470444
0.5083 Remote Similarity NPC474522
0.505 Remote Similarity NPC488080
0.505 Remote Similarity NPC169977
0.5048 Remote Similarity NPC172807
0.5046 Remote Similarity NPC475366
0.5045 Remote Similarity NPC270675
0.5045 Remote Similarity NPC195685
0.5043 Remote Similarity NPC470416
0.5042 Remote Similarity NPC488739
0.5041 Remote Similarity NPC470720

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC539691 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
0.7143 Intermediate Similarity NPD7251 Phase 2
0.6699 Remote Similarity NPD7808 Phase 3
0.6531 Remote Similarity NPD6797 Phase 2
0.6117 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