Natural Product: NPC238243

Natural Product IDNPC238243
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Lysidiside E
IUPAC Name (2S,3R,4R,5R,6S)-2-[(2S,3R,4S,5R)-4,5-dihydroxy-2-[3-hydroxy-5-[(E)-2-(4-hydroxyphenyl)ethenyl]phenoxy]oxan-3-yl]oxy-6-methyloxane-3,4,5-triol
Synonyms Lysidiside E
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL575437
PubChem CID 45481961
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0000253] Stilbenes
        • [CHEMONTID:0000142] Stilbene 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 HMYSHADLMCHJFF-VYXPBXMQSA-N
Standard InCHI InChI=1S/C25H30O11/c1-12-19(29)21(31)22(32)24(34-12)36-23-20(30)18(28)11-33-25(23)35-17-9-14(8-16(27)10-17)3-2-13-4-6-15(26)7-5-13/h2-10,12,18-32H,11H2,1H3/b3-2+/t12-,18+,19-,20-,21+,22+,23+,24-,25-/m0/s1
SMILES Oc1cc(cc(c1)/C=C/c1ccc(cc1)O)O[C@@H]1OC[C@H]([C@@H]([C@H]1O[C@@H]1O[C@@H](C)[C@@H]([C@H]([C@H]1O)O)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   506.18 Volume:   484.968
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Van der Waals volume.
Dense:   1.044 LogP:   1.911
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.193
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.132
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The logarithm of aqueous solubility value.
Rotatable Bonds:   6.0 Rigid Bonds:   25.0
TPSA:   178.53
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Topological Polar Surface Area.
H-Bond Acceptor:   11.0
H-Bond Donor:   7.0 Rings:   4.0
Heavy Atoms:   11.0

MedChem Properties

QED Drug-Likeness Score:   0.261 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.461 Fsp3:   0.44
MCE-18:   92.444
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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:   0.634 Fluc inhibitor:   0.998
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.218
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.297
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.385 Promiscuous compounds:   0.278

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.12 MDCK Permeability:   -5.172
Pgp-inhibitor:   0.0 Pgp-substrate:   0.152
PAMPA:   0.998
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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):   0.019
20% Bioavailability (F20%):   0.882 30% Bioavailability (F30%):   0.992
50% Bioavailability (F50%):   0.999

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.014
Plasma Protein Binding (PPB):   77.445% Volume Distribution (VD):   -0.323
Fu: 24.024%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.049
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:   0.003
CYP2D6-inhibitor:   0.002 CYP2D6-substrate:   0.055
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.094
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.05
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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):  2.039 Half-life (T1/2):  4.567

ADMET: Toxicity

hERG Blockers:  0.076 hERG Blockers (10um):  0.271
Human Hepatotoxicity (H-HT):  0.818 Drug-induced Liver Injury (DILI):  0.689
AMES Toxicity:  0.848 Rat Oral Acute Toxicity:  0.014
Maximum Recommended Daily Dose:  0.056 Skin Sensitization:  0.998
Carcinogencity:  0.049 Eye Corrosion:  0.0
Eye Irritation:  0.664 Respiratory Toxicity:  0.01
Drug-induced Neurotoxicity:  0.024 Ototoxicity:  0.932
Hematotoxicity:  0.066 Drug-induced Nephrotoxicity:  0.919
Genotoxicity:  0.752 RPMI-8226 Immunitoxicity:  0.204
A549 Cytotoxicity:  0.452 Hek293 Cytotoxicity:  0.571
BCF:   0.682
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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:   3.3
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.844
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.948
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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
NPO33047 lysidice brevicalyx wei Species n.a. Eukaryota Barks n.a. n.a. PMID[18847246]
NPO28219 Euphorbia peplus Species Euphorbiaceae Eukaryota n.a. n.a. n.a. PMID[21612217]
NPO28219 Euphorbia peplus Species Euphorbiaceae Eukaryota n.a. n.a. n.a. PMID[27203291]
NPO28219 Euphorbia peplus Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO28310 Phacelocarpus labillardieri Species Phacelocarpaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO28129 Reticulitermes virginicus Species Termitoidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO23676 Fleroya rubrostipulata Species Rubiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO28219 Euphorbia peplus Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO28114 Peltophorum adnatum Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO23882 Cremastosperma microcarpum Species Annonaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO27974 Swertia leduci Species Gentianaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO28310 Phacelocarpus labillardieri Species Phacelocarpaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO28982 Calliandra confusa 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
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. Activity = 67.0 % PMID[18847246]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. Activity = 6.0 % PMID[18847246]

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 NPC238243 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
0.8529 High Similarity NPC188555
0.7808 Intermediate Similarity NPC89686
0.7808 Intermediate Similarity NPC257095
0.7746 Intermediate Similarity NPC138350
0.7746 Intermediate Similarity NPC165482
0.6892 Remote Similarity NPC40664
0.6892 Remote Similarity NPC197723
0.6329 Remote Similarity NPC273932
0.6316 Remote Similarity NPC130496
0.5833 Remote Similarity NPC85799
0.5833 Remote Similarity NPC303422
0.5432 Remote Similarity NPC3293
0.5065 Remote Similarity NPC242028
0.5065 Remote Similarity NPC203230
0.5059 Remote Similarity NPC289346

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC238243 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
NPD

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