Natural Product: NPC592383

Natural Product IDNPC592383
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Nitensoside B
IUPAC Name 2-(3,4-dihydroxyphenyl)-5-hydroxy-7-methoxy-6-[(2~{S},3~{R},4~{S},5~{S},6~{R})-3,4,5-trihydroxy-6-[[(2~{R},3~{R},4~{R},5~{R},6~{S})-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]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0000334] Flavonoids
        • [CHEMONTID:0001111] Flavonoid glycosides
          • [CHEMONTID:0001583] Flavonoid O-glycosides

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 MTUPEWBIUKFRBD-PCIFUKDKSA-N
Standard InCHI InChI=1S/C28H32O16/c1-9-19(32)22(35)24(37)27(41-9)40-8-17-20(33)23(36)25(38)28(43-17)44-26-16(39-2)7-15-18(21(26)34)13(31)6-14(42-15)10-3-4-11(29)12(30)5-10/h3-7,9,17,19-20,22-25,27-30,32-38H,8H2,1-2H3/t9-,17+,19-,20+,22+,23-,24+,25+,27+,28-/m0/s1
SMILES COC1=CC2=C(C(O)=C1O[C@@H]1O[C@H](CO[C@@H]3O[C@@H](C)[C@H](O)[C@@H](O)[C@H]3O)[C@@H](O)[C@H](O)[C@H]1O)C(=O)C=C(C1=CC=C(O)C(O)=C1)O2

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   624.17 Volume:   569.614
?
Van der Waals volume.
Dense:   1.096 LogP:   0.258
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   0.817
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.429
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   7.0 Rigid Bonds:   30.0
TPSA:   258.43
?
Topological Polar Surface Area.
H-Bond Acceptor:   16.0
H-Bond Donor:   9.0 Rings:   5.0
Heavy Atoms:   16.0

MedChem Properties

QED Drug-Likeness Score:   0.137 GASA:   0.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.782 Fsp3:   0.464
MCE-18:   122.073
?
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:   1 PAINS Alert:   1
Colloidal aggregators:   0.608 Fluc inhibitor:   0.268
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.934
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.695
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.075 Promiscuous compounds:   0.465

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.306 MDCK Permeability:   -5.332
Pgp-inhibitor:   0.0 Pgp-substrate:   0.5
PAMPA:   0.998
?
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):   0.428
20% Bioavailability (F20%):   0.768 30% Bioavailability (F30%):   0.991
50% Bioavailability (F50%):   0.998

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.546
Plasma Protein Binding (PPB):   82.705% Volume Distribution (VD):   -0.031
Fu: 14.938%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.999
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.376
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:   0.005
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.071
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.904
HLM stability:   0.028
?
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):  1.96 Half-life (T1/2):  4.729

ADMET: Toxicity

hERG Blockers:  0.023 hERG Blockers (10um):  0.249
Human Hepatotoxicity (H-HT):  0.253 Drug-induced Liver Injury (DILI):  0.857
AMES Toxicity:  0.799 Rat Oral Acute Toxicity:  0.011
Maximum Recommended Daily Dose:  0.038 Skin Sensitization:  0.987
Carcinogencity:  0.03 Eye Corrosion:  0.0
Eye Irritation:  0.147 Respiratory Toxicity:  0.002
Drug-induced Neurotoxicity:  0.0 Ototoxicity:  0.972
Hematotoxicity:  0.052 Drug-induced Nephrotoxicity:  0.12
Genotoxicity:  0.565 RPMI-8226 Immunitoxicity:  0.071
A549 Cytotoxicity:  0.528 Hek293 Cytotoxicity:  0.28
BCF:   0.438
?
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:   3.052
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.635
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.784
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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
NPO10824 Pterogyne nitens Species Fabaceae Eukaryota n.a. n.a. n.a. PMID[19159272]
NPO10824 Pterogyne nitens Species Fabaceae Eukaryota n.a. leaf n.a. PMID[19159272]
NPO10824 Pterogyne nitens Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO10824 Pterogyne nitens Species Fabaceae 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 NPC592383 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
0.8293 Intermediate Similarity NPC254540
0.8 Intermediate Similarity NPC210073
0.7907 Intermediate Similarity NPC204693
0.7326 Intermediate Similarity NPC172807
0.7229 Intermediate Similarity NPC45638
0.7079 Intermediate Similarity NPC44931
0.7065 Intermediate Similarity NPC209296
0.7 Intermediate Similarity NPC22062
0.7 Intermediate Similarity NPC473634
0.7 Intermediate Similarity NPC138811
0.6915 Remote Similarity NPC473073
0.6774 Remote Similarity NPC470443
0.6744 Remote Similarity NPC201292
0.6703 Remote Similarity NPC67105
0.6667 Remote Similarity NPC126784
0.6667 Remote Similarity NPC241423
0.6556 Remote Similarity NPC211594
0.6526 Remote Similarity NPC483707
0.6517 Remote Similarity NPC99957
0.6421 Remote Similarity NPC65711
0.6395 Remote Similarity NPC19709
0.6322 Remote Similarity NPC93337
0.6316 Remote Similarity NPC475366
0.6277 Remote Similarity NPC203259
0.6277 Remote Similarity NPC33054
0.6277 Remote Similarity NPC176740
0.6277 Remote Similarity NPC471725
0.6277 Remote Similarity NPC134532
0.6277 Remote Similarity NPC602582
0.625 Remote Similarity NPC27640
0.6105 Remote Similarity NPC233994
0.6042 Remote Similarity NPC473571
0.6042 Remote Similarity NPC110941
0.6042 Remote Similarity NPC186816
0.6 Remote Similarity NPC227508
0.5938 Remote Similarity NPC473512
0.5918 Remote Similarity NPC211532
0.5918 Remote Similarity NPC488364
0.5897 Remote Similarity NPC25270
0.5889 Remote Similarity NPC105025
0.587 Remote Similarity NPC605067
0.5859 Remote Similarity NPC473623
0.5859 Remote Similarity NPC229409
0.5843 Remote Similarity NPC58053
0.5842 Remote Similarity NPC101636
0.5833 Remote Similarity NPC173582
0.5833 Remote Similarity NPC265885
0.5833 Remote Similarity NPC181465
0.5833 Remote Similarity NPC215710
0.5833 Remote Similarity NPC473438
0.5833 Remote Similarity NPC253788
0.5816 Remote Similarity NPC488073
0.58 Remote Similarity NPC488089
0.5773 Remote Similarity NPC129827
0.5773 Remote Similarity NPC65563
0.5773 Remote Similarity NPC470949
0.5761 Remote Similarity NPC609451
0.5745 Remote Similarity NPC190003
0.5743 Remote Similarity NPC476472
0.5743 Remote Similarity NPC294815
0.5743 Remote Similarity NPC16194
0.5673 Remote Similarity NPC11468
0.567 Remote Similarity NPC39834
0.5657 Remote Similarity NPC488074
0.5638 Remote Similarity NPC602805
0.5604 Remote Similarity NPC189142
0.5604 Remote Similarity NPC77660
0.5556 Remote Similarity NPC473043
0.5556 Remote Similarity NPC115674
0.5556 Remote Similarity NPC331652
0.5545 Remote Similarity NPC473327
0.5543 Remote Similarity NPC186807
0.5543 Remote Similarity NPC58716
0.5543 Remote Similarity NPC271692
0.5514 Remote Similarity NPC480441
0.5484 Remote Similarity NPC117260
0.5481 Remote Similarity NPC470446
0.5455 Remote Similarity NPC156869
0.5446 Remote Similarity NPC483414
0.5446 Remote Similarity NPC483415
0.5408 Remote Similarity NPC187379
0.5408 Remote Similarity NPC473657
0.5405 Remote Similarity NPC198199
0.5392 Remote Similarity NPC483416
0.5385 Remote Similarity NPC298171
0.5385 Remote Similarity NPC470445
0.537 Remote Similarity NPC473644
0.5368 Remote Similarity NPC181616
0.5354 Remote Similarity NPC15358
0.5354 Remote Similarity NPC67326
0.5347 Remote Similarity NPC475497
0.534 Remote Similarity NPC142142
0.5326 Remote Similarity NPC238376
0.5321 Remote Similarity NPC311850
0.53 Remote Similarity NPC218488
0.5294 Remote Similarity NPC469622
0.5269 Remote Similarity NPC168822
0.5263 Remote Similarity NPC120952
0.5263 Remote Similarity NPC488071
0.5253 Remote Similarity NPC295613
0.5243 Remote Similarity NPC122467
0.5217 Remote Similarity NPC114740
0.5213 Remote Similarity NPC305811
0.52 Remote Similarity NPC275454
0.5196 Remote Similarity NPC46202
0.5196 Remote Similarity NPC284277
0.5196 Remote Similarity NPC64051
0.5179 Remote Similarity NPC68592
0.5149 Remote Similarity NPC303913
0.5143 Remote Similarity NPC89127
0.5138 Remote Similarity NPC292019
0.5138 Remote Similarity NPC202908
0.5133 Remote Similarity NPC298666
0.5096 Remote Similarity NPC150767
0.5091 Remote Similarity NPC25523
0.5053 Remote Similarity NPC46420
0.5052 Remote Similarity NPC606560
0.5051 Remote Similarity NPC294629
0.5051 Remote Similarity NPC116864
0.5051 Remote Similarity NPC244776
0.5051 Remote Similarity NPC131407
0.5048 Remote Similarity NPC270675
0.5048 Remote Similarity NPC195685
0.5048 Remote Similarity NPC486577

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC592383 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
0.7065 Intermediate Similarity NPD7054 Phase 4
0.6277 Remote Similarity NPD6797 Phase 2
0.6224 Remote Similarity NPD7251 Phase 2
0.6139 Remote Similarity NPD7472 Pre-clinical
0.5377 Remote Similarity NPD7808 Phase 3

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