Natural Product: NPC129417

Natural Product IDNPC129417
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Olivil 4''-O-Beta-D-Glucopyranoside
IUPAC Name (2S,3R,4S,5S,6R)-2-[4-[[(3R,4S,5R)-3-hydroxy-5-(4-hydroxy-3-methoxyphenyl)-4-(hydroxymethyl)oxolan-3-yl]methyl]-2-methoxyphenoxy]-6-(hydroxymethyl)oxane-3,4,5-triol
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL1911056
PubChem CID 57395552
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0001392] Lignans, neolignans and related compounds
      • [CHEMONTID:0001511] Lignan 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 SXGSYHDLSPXCMU-QMFIMPQNSA-N
Standard InCHI InChI=1S/C26H34O12/c1-34-18-8-14(4-5-16(18)29)24-15(10-27)26(33,12-36-24)9-13-3-6-17(19(7-13)35-2)37-25-23(32)22(31)21(30)20(11-28)38-25/h3-8,15,20-25,27-33H,9-12H2,1-2H3/t15-,20+,21+,22-,23+,24-,25+,26-/m0/s1
SMILES OC[C@H]1[C@@H](OC[C@@]1(O)Cc1ccc(c(c1)OC)O[C@@H]1O[C@H](CO)[C@H]([C@@H]([C@H]1O)O)O)c1ccc(c(c1)OC)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   538.21 Volume:   513.69
?
Van der Waals volume.
Dense:   1.048 LogP:   -0.392
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   0.182
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -1.452
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   9.0 Rigid Bonds:   23.0
TPSA:   187.76
?
Topological Polar Surface Area.
H-Bond Acceptor:   12.0
H-Bond Donor:   7.0 Rings:   4.0
Heavy Atoms:   12.0

MedChem Properties

QED Drug-Likeness Score:   0.212 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.491 Fsp3:   0.538
MCE-18:   96.6
?
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:   0
Colloidal aggregators:   0.452 Fluc inhibitor:   0.278
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.058
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.109
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.069 Promiscuous compounds:   0.096

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.299 MDCK Permeability:   -5.367
Pgp-inhibitor:   0.0 Pgp-substrate:   0.861
PAMPA:   0.937
?
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):   0.776
20% Bioavailability (F20%):   0.279 30% Bioavailability (F30%):   0.928
50% Bioavailability (F50%):   0.978

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.006 MRP1:   0.08
Plasma Protein Binding (PPB):   69.023% Volume Distribution (VD):   -0.173
Fu: 31.012%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.118
BSEP inhibitor:   0.004

ADMET: Metabolism

CYP1A2-inhibitor:   0.007 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.123 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.001 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.001
CYP3A4-inhibitor:   0.006 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.009
HLM stability:   0.003
?
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):  3.166 Half-life (T1/2):  4.061

ADMET: Toxicity

hERG Blockers:  0.021 hERG Blockers (10um):  0.065
Human Hepatotoxicity (H-HT):  0.874 Drug-induced Liver Injury (DILI):  0.835
AMES Toxicity:  0.938 Rat Oral Acute Toxicity:  0.012
Maximum Recommended Daily Dose:  0.022 Skin Sensitization:  0.996
Carcinogencity:  0.176 Eye Corrosion:  0.0
Eye Irritation:  0.108 Respiratory Toxicity:  0.002
Drug-induced Neurotoxicity:  0.018 Ototoxicity:  0.964
Hematotoxicity:  0.293 Drug-induced Nephrotoxicity:  0.83
Genotoxicity:  0.763 RPMI-8226 Immunitoxicity:  0.122
A549 Cytotoxicity:  0.153 Hek293 Cytotoxicity:  0.179
BCF:   0.354
?
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:   2.792
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.359
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.432
?
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
NPO28260 Senna alexandrina Species Fabaceae Eukaryota n.a. seed n.a. PMID[17345316]
NPO14969 Hedychium spicatum Species Zingiberaceae Eukaryota n.a. rhizome n.a. PMID[19027298]
NPO14969 Hedychium spicatum Species Zingiberaceae Eukaryota rhizomes n.a. n.a. PMID[19332371]
NPO14969 Hedychium spicatum Species Zingiberaceae Eukaryota rhizomes n.a. n.a. PMID[19782567]
NPO22114 Cladiella pachyclados Species Alcyoniidae Eukaryota n.a. red sea soft coral n.a. PMID[20420415]
NPO10271 Psammosilene tunicoides Species Caryophyllaceae Eukaryota n.a. root n.a. PMID[21070025]
NPO16259 Syringa reticulata Species Oleaceae Eukaryota n.a. n.a. n.a. PMID[21955940]
NPO14969 Hedychium spicatum Species Zingiberaceae Eukaryota n.a. rhizome n.a. PMID[23422227]
NPO4579 Nepeta nuda Species Lamiaceae Eukaryota n.a. n.a. n.a. PMID[31029727]
NPO9601 Ptaeroxylon obliquum Species Rutaceae Eukaryota Leaves n.a. n.a. PMID[32790311]
NPO14969 Hedychium spicatum Species Zingiberaceae Eukaryota n.a. n.a. n.a. PMID[35481430]
NPO1300 Dacryodes edulis Species Burseraceae Eukaryota n.a. n.a. n.a. PMID[36235361]
NPO14969 Hedychium spicatum Species Zingiberaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO28260 Senna alexandrina Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO16259 Syringa reticulata Species Oleaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO10271 Psammosilene tunicoides Species Caryophyllaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO7226 Centaurea kandavanensis Species Asteraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO1445 Aplysina caissara Species Aplysinidae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO4579 Nepeta nuda Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO22114 Cladiella pachyclados Species Alcyoniidae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO9601 Ptaeroxylon obliquum Species Rutaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO8946 Polyandrocarpa zorritensis Species Styelidae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO354 Capillaster multiradiatus Species Comatulidae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO10271 Psammosilene tunicoides Species Caryophyllaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO28260 Senna alexandrina Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO9601 Ptaeroxylon obliquum Species Rutaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO14969 Hedychium spicatum Species Zingiberaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO10271 Psammosilene tunicoides Species Caryophyllaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO28260 Senna alexandrina Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO10271 Psammosilene tunicoides Species Caryophyllaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO22114 Cladiella pachyclados Species Alcyoniidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO20855.1 Talaromyces flavus var. flavus Varieties Trichocomaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO28260 Senna alexandrina Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO8946 Polyandrocarpa zorritensis Species Styelidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO10271 Psammosilene tunicoides Species Caryophyllaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO1300 Dacryodes edulis Species Burseraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO4579 Nepeta nuda Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9873 Mertensia maritima Species Boraginaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO16259 Syringa reticulata Species Oleaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO10140 Genista raetam Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO4133 Callicarpa pedunculata Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO1445 Aplysina caissara Species Aplysinidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO5025 Persicaria capitata Species Polygonaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO14969 Hedychium spicatum Species Zingiberaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO354 Capillaster multiradiatus Species Comatulidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9601 Ptaeroxylon obliquum Species Rutaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO7226 Centaurea kandavanensis Species Asteraceae 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. EC50 = 25280.0 nM PMID[21955940]
NPT1 Others Radical scavenging activity n.a. EC50 > 100000.0 nM PMID[21955940]

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 NPC129417 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
0.8933 High Similarity NPC470235
0.7195 Intermediate Similarity NPC46092
0.7195 Intermediate Similarity NPC470950
0.6947 Remote Similarity NPC475224
0.6835 Remote Similarity NPC38041
0.6835 Remote Similarity NPC22150
0.6706 Remote Similarity NPC112861
0.6706 Remote Similarity NPC283995
0.6625 Remote Similarity NPC18979
0.6438 Remote Similarity NPC277804
0.6395 Remote Similarity NPC185307
0.6395 Remote Similarity NPC163635
0.6207 Remote Similarity NPC478055
0.6163 Remote Similarity NPC39657
0.5977 Remote Similarity NPC299706
0.5977 Remote Similarity NPC115466
0.5977 Remote Similarity NPC61604
0.5952 Remote Similarity NPC471063
0.5904 Remote Similarity NPC51328
0.5904 Remote Similarity NPC286235
0.5904 Remote Similarity NPC55158
0.5833 Remote Similarity NPC279298
0.5778 Remote Similarity NPC486548
0.5696 Remote Similarity NPC276753
0.5696 Remote Similarity NPC205796
0.5625 Remote Similarity NPC246947
0.5604 Remote Similarity NPC486549
0.5526 Remote Similarity NPC472024
0.5526 Remote Similarity NPC270849
0.5455 Remote Similarity NPC26653
0.5455 Remote Similarity NPC80600
0.5444 Remote Similarity NPC245615
0.5393 Remote Similarity NPC469586
0.5393 Remote Similarity NPC44452
0.5376 Remote Similarity NPC486546
0.5287 Remote Similarity NPC227902
0.5275 Remote Similarity NPC486545
0.5233 Remote Similarity NPC158635
0.5233 Remote Similarity NPC229882
0.5111 Remote Similarity NPC605526
0.5065 Remote Similarity NPC9912
0.506 Remote Similarity NPC471988

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC129417 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