Natural Product: NPC165482

Natural Product IDNPC165482
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Lysidiside O
IUPAC Name (2S,3R,4R,5R,6S)-2-[(2S,3R,4S,5S,6R)-4,5-dihydroxy-2-[3-hydroxy-5-[(Z)-2-(4-hydroxyphenyl)ethenyl]phenoxy]-6-(hydroxymethyl)oxan-3-yl]oxy-6-methyloxane-3,4,5-triol
Synonyms lysidiside O
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL575219
PubChem CID 25155597
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 MASPJNQRZIRSFR-MTVVTEEYSA-N
Standard InCHI InChI=1S/C26H32O12/c1-12-19(30)21(32)23(34)25(35-12)38-24-22(33)20(31)18(11-27)37-26(24)36-17-9-14(8-16(29)10-17)3-2-13-4-6-15(28)7-5-13/h2-10,12,18-34H,11H2,1H3/b3-2-/t12-,18+,19-,20+,21+,22-,23+,24+,25-,26+/m0/s1
SMILES OC[C@H]1O[C@@H](Oc2cc(O)cc(c2)/C=Cc2ccc(cc2)O)[C@@H]([C@H]([C@@H]1O)O)O[C@@H]1O[C@@H](C)[C@@H]([C@H]([C@H]1O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   536.19 Volume:   511.054
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Van der Waals volume.
Dense:   1.049 LogP:   0.907
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.511
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.523
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The logarithm of aqueous solubility value.
Rotatable Bonds:   7.0 Rigid Bonds:   25.0
TPSA:   198.76
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Topological Polar Surface Area.
H-Bond Acceptor:   12.0
H-Bond Donor:   8.0 Rings:   4.0
Heavy Atoms:   12.0

MedChem Properties

QED Drug-Likeness Score:   0.207 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.5 Fsp3:   0.462
MCE-18:   95.211
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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:   0.633 Fluc inhibitor:   0.989
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.183
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.362
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.562 Promiscuous compounds:   0.295

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.3 MDCK Permeability:   -5.129
Pgp-inhibitor:   0.0 Pgp-substrate:   0.074
PAMPA:   0.999
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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):   0.745
20% Bioavailability (F20%):   0.878 30% Bioavailability (F30%):   1.0
50% Bioavailability (F50%):   0.999

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.001 MRP1:   0.014
Plasma Protein Binding (PPB):   76.686% Volume Distribution (VD):   -0.249
Fu: 24.695%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.024
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:   0.033 CYP2D6-substrate:   0.061
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.134
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.775
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):  2.033 Half-life (T1/2):  4.804

ADMET: Toxicity

hERG Blockers:  0.066 hERG Blockers (10um):  0.225
Human Hepatotoxicity (H-HT):  0.846 Drug-induced Liver Injury (DILI):  0.249
AMES Toxicity:  0.946 Rat Oral Acute Toxicity:  0.015
Maximum Recommended Daily Dose:  0.02 Skin Sensitization:  1.0
Carcinogencity:  0.037 Eye Corrosion:  0.0
Eye Irritation:  0.349 Respiratory Toxicity:  0.001
Drug-induced Neurotoxicity:  0.046 Ototoxicity:  0.992
Hematotoxicity:  0.027 Drug-induced Nephrotoxicity:  0.949
Genotoxicity:  0.256 RPMI-8226 Immunitoxicity:  0.312
A549 Cytotoxicity:  0.923 Hek293 Cytotoxicity:  0.691
BCF:   0.353
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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:   2.716
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.232
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.47
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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]

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 = 11.0 % PMID[18847246]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. Activity = 10.0 % 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 NPC165482 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
1.0 High Similarity NPC138350
0.7808 Intermediate Similarity NPC89686
0.7808 Intermediate Similarity NPC257095
0.7746 Intermediate Similarity NPC238243
0.75 Intermediate Similarity NPC188555
0.6765 Remote Similarity NPC85799
0.6765 Remote Similarity NPC303422
0.6447 Remote Similarity NPC40664
0.6447 Remote Similarity NPC197723
0.6329 Remote Similarity NPC273932
0.589 Remote Similarity NPC242028
0.589 Remote Similarity NPC203230
0.5833 Remote Similarity NPC218003
0.5775 Remote Similarity NPC607702
0.5676 Remote Similarity NPC294166
0.5676 Remote Similarity NPC115022
0.5663 Remote Similarity NPC475246
0.5658 Remote Similarity NPC212770
0.5632 Remote Similarity NPC142860
0.5632 Remote Similarity NPC152538
0.5632 Remote Similarity NPC246469
0.5632 Remote Similarity NPC89088
0.55 Remote Similarity NPC130496
0.5417 Remote Similarity NPC214910
0.5395 Remote Similarity NPC8497
0.5256 Remote Similarity NPC98777
0.5244 Remote Similarity NPC3293
0.5233 Remote Similarity NPC285108
0.5165 Remote Similarity NPC291124
0.5165 Remote Similarity NPC131157
0.5109 Remote Similarity NPC65003

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC165482 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