Natural Product: NPC536725

Natural Product IDNPC536725
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-(4-methoxyphenyl)-8-(3-methylbut-2-enyl)-7-[(2~{S},3~{R},4~{S},5~{R},6~{S})-3,4,5-trihydroxy-6-(hydroxymethyl)tetrahydropyran-2-yl]oxy-3-[(2~{S},3~{R},4~{S},5~{R},6~{R})-3,4,5-trihydroxy-6-[[(2~{R},3~{S},4~{R},5~{R},6~{S})-3,4,5-trihydroxy-6-methyl-tetrahydropyran-2-yl]oxymethyl]tetrahydropyran-2-yl]oxy-chromen-4-one
IUPAC Name 5-hydroxy-2-(4-methoxyphenyl)-8-(3-methylbut-2-enyl)-7-[(2~{S},3~{R},4~{S},5~{R},6~{S})-3,4,5-trihydroxy-6-(hydroxymethyl)tetrahydropyran-2-yl]oxy-3-[(2~{S},3~{R},4~{S},5~{R},6~{R})-3,4,5-trihydroxy-6-[[(2~{R},3~{S},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]

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 SFPBPCAQVDGNMT-IATKZNDZSA-N
Standard InCHI InChI=1S/C39H50O20/c1-14(2)5-10-18-20(55-38-32(50)29(47)25(43)21(12-40)56-38)11-19(41)23-27(45)36(34(58-35(18)23)16-6-8-17(52-4)9-7-16)59-39-33(51)30(48)26(44)22(57-39)13-53-37-31(49)28(46)24(42)15(3)54-37/h5-9,11,15,21-22,24-26,28-33,37-44,46-51H,10,12-13H2,1-4H3/t15-,21-,22+,24-,25-,26-,28+,29-,30-,31-,32+,33+,37+,38+,39-/m0/s1
SMILES COC1=CC=C(C2=C(O[C@@H]3O[C@H](CO[C@@H]4O[C@@H](C)[C@H](O)[C@@H](O)[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](CO)[C@H](O)[C@H](O)[C@H]4O)C(CC=C(C)C)=C3O2)C=C1

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   838.29 Volume:   783.838
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Van der Waals volume.
Dense:   1.069 LogP:   1.456
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.061
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.728
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The logarithm of aqueous solubility value.
Rotatable Bonds:   12.0 Rigid Bonds:   37.0
TPSA:   317.35
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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:   0.087 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.558 Fsp3:   0.564
MCE-18:   153.639
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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:   1
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.682 Fluc inhibitor:   0.279
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.671
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.451
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.035 Promiscuous compounds:   0.153

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.529 MDCK Permeability:   -5.225
Pgp-inhibitor:   0.0 Pgp-substrate:   0.956
PAMPA:   1.0
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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):   1.0
20% Bioavailability (F20%):   0.986 30% Bioavailability (F30%):   1.0
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.148
Plasma Protein Binding (PPB):   78.036% Volume Distribution (VD):   -0.033
Fu: 21.026%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.998
OATP1B3 inhibitor:   0.999 BCRP inhibitor:   0.036
BSEP inhibitor:   0.0

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:   0.838
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.998
?
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):  0.685 Half-life (T1/2):  3.234

ADMET: Toxicity

hERG Blockers:  0.002 hERG Blockers (10um):  0.041
Human Hepatotoxicity (H-HT):  0.75 Drug-induced Liver Injury (DILI):  0.997
AMES Toxicity:  0.995 Rat Oral Acute Toxicity:  0.012
Maximum Recommended Daily Dose:  0.003 Skin Sensitization:  1.0
Carcinogencity:  0.03 Eye Corrosion:  0.0
Eye Irritation:  0.001 Respiratory Toxicity:  0.005
Drug-induced Neurotoxicity:  0.002 Ototoxicity:  0.992
Hematotoxicity:  0.671 Drug-induced Nephrotoxicity:  0.985
Genotoxicity:  0.957 RPMI-8226 Immunitoxicity:  0.398
A549 Cytotoxicity:  0.97 Hek293 Cytotoxicity:  0.581
BCF:   0.665
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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:   3.517
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.409
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.436
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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
NPO21776 Sesbania grandiflora Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO21776 Sesbania grandiflora 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 NPC536725 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
0.8511 High Similarity NPC5319
0.6832 Remote Similarity NPC131745
0.6275 Remote Similarity NPC278419
0.6275 Remote Similarity NPC179198
0.5888 Remote Similarity NPC186816
0.5826 Remote Similarity NPC25523
0.5794 Remote Similarity NPC22062
0.5794 Remote Similarity NPC473634
0.5794 Remote Similarity NPC138811
0.5727 Remote Similarity NPC473327
0.569 Remote Similarity NPC480441
0.5641 Remote Similarity NPC277532
0.5596 Remote Similarity NPC473571
0.5596 Remote Similarity NPC110941
0.5556 Remote Similarity NPC173582
0.5556 Remote Similarity NPC265885
0.5556 Remote Similarity NPC181465
0.5556 Remote Similarity NPC215710
0.5556 Remote Similarity NPC473438
0.5556 Remote Similarity NPC253788
0.5455 Remote Similarity NPC204693
0.5405 Remote Similarity NPC488073
0.5405 Remote Similarity NPC126784
0.5405 Remote Similarity NPC241423
0.5392 Remote Similarity NPC289667
0.5391 Remote Similarity NPC135358
0.5385 Remote Similarity NPC472459
0.5364 Remote Similarity NPC203259
0.5364 Remote Similarity NPC65563
0.5364 Remote Similarity NPC33054
0.5364 Remote Similarity NPC470949
0.5364 Remote Similarity NPC176740
0.5364 Remote Similarity NPC471725
0.5364 Remote Similarity NPC134532
0.5364 Remote Similarity NPC156869
0.5364 Remote Similarity NPC602582
0.5357 Remote Similarity NPC470443
0.5351 Remote Similarity NPC476472
0.5351 Remote Similarity NPC294815
0.5351 Remote Similarity NPC16194
0.5327 Remote Similarity NPC66087
0.531 Remote Similarity NPC209296
0.5273 Remote Similarity NPC39834
0.5263 Remote Similarity NPC142142
0.5254 Remote Similarity NPC189564
0.5234 Remote Similarity NPC116458
0.5234 Remote Similarity NPC246943
0.5229 Remote Similarity NPC251417
0.5194 Remote Similarity NPC483159
0.5194 Remote Similarity NPC483160
0.5182 Remote Similarity NPC187379
0.5169 Remote Similarity NPC203145
0.5128 Remote Similarity NPC602448
0.5124 Remote Similarity NPC311850
0.5093 Remote Similarity NPC605784
0.5089 Remote Similarity NPC475155
0.5085 Remote Similarity NPC14187
0.5083 Remote Similarity NPC292019
0.5083 Remote Similarity NPC202908
0.5048 Remote Similarity NPC64305
0.5045 Remote Similarity NPC480466

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC536725 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
0.8511 High Similarity NPD7804 Clinical (unspecified phase)
0.5702 Remote Similarity NPD7808 Phase 3
0.5625 Remote Similarity NPD7251 Phase 2
0.5364 Remote Similarity NPD6797 Phase 2
0.531 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