Natural Product: NPC591853

Natural Product IDNPC591853
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
5-hydroxy-2-phenyl-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 5-hydroxy-2-phenyl-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]

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 QNFMEZGAYVOUCH-GDHGFZABSA-N
Standard InCHI InChI=1S/C27H30O13/c1-11-20(30)22(32)24(34)26(37-11)36-10-18-21(31)23(33)25(35)27(40-18)38-13-7-14(28)19-15(29)9-16(39-17(19)8-13)12-5-3-2-4-6-12/h2-9,11,18,20-28,30-35H,10H2,1H3/t11-,18-,20+,21-,22+,23+,24-,25-,26-,27-/m1/s1
SMILES C[C@H]1O[C@@H](OC[C@H]2O[C@@H](OC3=CC(O)=C4C(=O)C=C(C5=CC=CC=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:   562.17 Volume:   525.947
?
Van der Waals volume.
Dense:   1.069 LogP:   0.919
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.301
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.555
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The logarithm of aqueous solubility value.
Rotatable Bonds:   6.0 Rigid Bonds:   30.0
TPSA:   208.74
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Topological Polar Surface Area.
H-Bond Acceptor:   13.0
H-Bond Donor:   7.0 Rings:   5.0
Heavy Atoms:   13.0

MedChem Properties

QED Drug-Likeness Score:   0.196 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.522 Fsp3:   0.444
MCE-18:   112.41
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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:   0 PAINS Alert:   0
Colloidal aggregators:   0.622 Fluc inhibitor:   0.299
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.819
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.631
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.088 Promiscuous compounds:   0.262

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.416 MDCK Permeability:   -5.126
Pgp-inhibitor:   0.001 Pgp-substrate:   0.799
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):   0.182
20% Bioavailability (F20%):   0.057 30% Bioavailability (F30%):   0.939
50% Bioavailability (F50%):   0.982

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.001 MRP1:   0.177
Plasma Protein Binding (PPB):   90.821% Volume Distribution (VD):   -0.176
Fu: 8.478%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.991
OATP1B3 inhibitor:   0.999 BCRP inhibitor:   0.422
BSEP inhibitor:   0.543

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:   0.005
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.997
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.985
HLM stability:   0.024
?
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):  1.063 Half-life (T1/2):  4.406

ADMET: Toxicity

hERG Blockers:  0.036 hERG Blockers (10um):  0.325
Human Hepatotoxicity (H-HT):  0.332 Drug-induced Liver Injury (DILI):  0.965
AMES Toxicity:  0.707 Rat Oral Acute Toxicity:  0.021
Maximum Recommended Daily Dose:  0.041 Skin Sensitization:  0.713
Carcinogencity:  0.05 Eye Corrosion:  0.0
Eye Irritation:  0.332 Respiratory Toxicity:  0.009
Drug-induced Neurotoxicity:  0.0 Ototoxicity:  0.856
Hematotoxicity:  0.052 Drug-induced Nephrotoxicity:  0.529
Genotoxicity:  0.212 RPMI-8226 Immunitoxicity:  0.152
A549 Cytotoxicity:  0.212 Hek293 Cytotoxicity:  0.229
BCF:   0.57
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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:   3.24
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.721
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.9
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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
NPO9023 Dolichandrone falcata Species Bignoniaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO9023 Dolichandrone falcata Species Bignoniaceae 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 NPC591853 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
0.8861 High Similarity NPC44931
0.875 High Similarity NPC22062
0.875 High Similarity NPC473634
0.875 High Similarity NPC138811
0.8519 High Similarity NPC210073
0.8118 Intermediate Similarity NPC209296
0.7303 Intermediate Similarity NPC473623
0.7253 Intermediate Similarity NPC101636
0.7222 Intermediate Similarity NPC488089
0.7159 Intermediate Similarity NPC204693
0.7126 Intermediate Similarity NPC67105
0.7126 Intermediate Similarity NPC227508
0.7125 Intermediate Similarity NPC331652
0.7021 Intermediate Similarity NPC11468
0.6966 Remote Similarity NPC186816
0.6829 Remote Similarity NPC19709
0.6813 Remote Similarity NPC65711
0.6707 Remote Similarity NPC473043
0.6702 Remote Similarity NPC298171
0.6633 Remote Similarity NPC473644
0.6566 Remote Similarity NPC311850
0.6522 Remote Similarity NPC46202
0.6522 Remote Similarity NPC64051
0.6458 Remote Similarity NPC472994
0.6383 Remote Similarity NPC229409
0.6373 Remote Similarity NPC68592
0.6316 Remote Similarity NPC270675
0.6316 Remote Similarity NPC195685
0.6311 Remote Similarity NPC298666
0.6304 Remote Similarity NPC303913
0.6279 Remote Similarity NPC181712
0.625 Remote Similarity NPC475382
0.6235 Remote Similarity NPC39360
0.6235 Remote Similarity NPC29763
0.6235 Remote Similarity NPC210003
0.6207 Remote Similarity NPC27942
0.6196 Remote Similarity NPC275454
0.617 Remote Similarity NPC475366
0.6163 Remote Similarity NPC95090
0.6163 Remote Similarity NPC27408
0.6154 Remote Similarity NPC198199
0.6129 Remote Similarity NPC65003
0.6111 Remote Similarity NPC190003
0.6058 Remote Similarity NPC488086
0.6019 Remote Similarity NPC262222
0.6019 Remote Similarity NPC488087
0.5981 Remote Similarity NPC120952
0.5977 Remote Similarity NPC189142
0.5977 Remote Similarity NPC77660
0.5914 Remote Similarity NPC187379
0.5895 Remote Similarity NPC115674
0.5882 Remote Similarity NPC472993
0.5876 Remote Similarity NPC483707
0.587 Remote Similarity NPC211594
0.5865 Remote Similarity NPC488083
0.5862 Remote Similarity NPC261866
0.5825 Remote Similarity NPC480441
0.5825 Remote Similarity NPC25523
0.5789 Remote Similarity NPC473512
0.5789 Remote Similarity NPC129827
0.5714 Remote Similarity NPC22832
0.5714 Remote Similarity NPC243930
0.5714 Remote Similarity NPC601144
0.5699 Remote Similarity NPC172807
0.5684 Remote Similarity NPC173582
0.5684 Remote Similarity NPC265885
0.5684 Remote Similarity NPC181465
0.5684 Remote Similarity NPC215710
0.5684 Remote Similarity NPC473438
0.5684 Remote Similarity NPC253788
0.5682 Remote Similarity NPC108831
0.5682 Remote Similarity NPC238376
0.5682 Remote Similarity NPC182634
0.5658 Remote Similarity NPC127447
0.5657 Remote Similarity NPC142142
0.5652 Remote Similarity NPC311830
0.5652 Remote Similarity NPC607707
0.5644 Remote Similarity NPC135358
0.5625 Remote Similarity NPC203259
0.5625 Remote Similarity NPC33054
0.5625 Remote Similarity NPC176740
0.5625 Remote Similarity NPC471725
0.5625 Remote Similarity NPC134532
0.5625 Remote Similarity NPC602582
0.5612 Remote Similarity NPC470443
0.56 Remote Similarity NPC195257
0.5579 Remote Similarity NPC295613
0.5579 Remote Similarity NPC473657
0.5521 Remote Similarity NPC39834
0.5506 Remote Similarity NPC249281
0.5506 Remote Similarity NPC45618
0.5474 Remote Similarity NPC254540
0.5464 Remote Similarity NPC479405
0.5464 Remote Similarity NPC65563
0.5464 Remote Similarity NPC470949
0.5446 Remote Similarity NPC473073
0.5426 Remote Similarity NPC276377
0.5408 Remote Similarity NPC479404
0.5408 Remote Similarity NPC473571
0.5408 Remote Similarity NPC110941
0.54 Remote Similarity NPC473327
0.5385 Remote Similarity NPC46420
0.5385 Remote Similarity NPC271692
0.5376 Remote Similarity NPC181616
0.537 Remote Similarity NPC488088
0.5354 Remote Similarity NPC126784
0.5354 Remote Similarity NPC241423
0.5319 Remote Similarity NPC99957
0.5312 Remote Similarity NPC8856
0.53 Remote Similarity NPC479403
0.5294 Remote Similarity NPC476472
0.5294 Remote Similarity NPC294815
0.5294 Remote Similarity NPC16194
0.5275 Remote Similarity NPC158674
0.5269 Remote Similarity NPC611303
0.5213 Remote Similarity NPC80188
0.5204 Remote Similarity NPC15358
0.52 Remote Similarity NPC284277
0.52 Remote Similarity NPC475497
0.5196 Remote Similarity NPC479766
0.5192 Remote Similarity NPC179862
0.5158 Remote Similarity NPC116458
0.5158 Remote Similarity NPC246943
0.5158 Remote Similarity NPC220169
0.5158 Remote Similarity NPC605784
0.5152 Remote Similarity NPC150164
0.5146 Remote Similarity NPC80068
0.5146 Remote Similarity NPC479765
0.5146 Remote Similarity NPC477629
0.5143 Remote Similarity NPC14187
0.5106 Remote Similarity NPC282169
0.5098 Remote Similarity NPC32641
0.5098 Remote Similarity NPC256188
0.5054 Remote Similarity NPC472385
0.5053 Remote Similarity NPC608742

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC591853 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
0.8118 Intermediate Similarity NPD7054 Phase 4
0.6421 Remote Similarity NPD7251 Phase 2
0.6162 Remote Similarity NPD7808 Phase 3
0.6 Remote Similarity NPD7472 Pre-clinical
0.5625 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