Natural Product: NPC470235

Natural Product IDNPC470235
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 (2R,3S,4R,5R,6S)-2-[4-[(2R,3S,4R)-4-hydroxy-4-[(4-hydroxy-3-methoxyphenyl)methyl]-3-(hydroxymethyl)oxolan-2-yl]-2-methoxyphenoxy]-6-(hydroxymethyl)oxane-3,4,5-triol
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL1911055
PubChem CID 57395551
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 OXHVZEZYYQQCRJ-DXYSKKKFSA-N
Standard InCHI InChI=1S/C26H34O12/c1-34-18-7-13(3-5-16(18)29)9-26(33)12-36-24(15(26)10-27)14-4-6-17(19(8-14)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)c1ccc(c(c1)OC)O[C@H]1O[C@@H](CO)[C@@H]([C@H]([C@@H]1O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   538.21 Volume:   513.69
?
Van der Waals volume.
Dense:   1.048 LogP:   -0.519
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   0.003
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -1.407
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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:   0.469 Fluc inhibitor:   0.302
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.057
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.086
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.07 Promiscuous compounds:   0.096

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.392 MDCK Permeability:   -5.332
Pgp-inhibitor:   0.0 Pgp-substrate:   0.92
PAMPA:   0.88
?
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):   0.475
20% Bioavailability (F20%):   0.287 30% Bioavailability (F30%):   0.963
50% Bioavailability (F50%):   0.993

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.044 MRP1:   0.126
Plasma Protein Binding (PPB):   68.297% Volume Distribution (VD):   -0.172
Fu: 30.972%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.997
OATP1B3 inhibitor:   0.995 BCRP inhibitor:   0.101
BSEP inhibitor:   0.042

ADMET: Metabolism

CYP1A2-inhibitor:   0.211 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.021 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.068 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.001 CYP2D6-substrate:   0.003
CYP3A4-inhibitor:   0.258 CYP3A4-substrate:   0.276
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.063
HLM stability:   0.005
?
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):  2.118 Half-life (T1/2):  3.244

ADMET: Toxicity

hERG Blockers:  0.009 hERG Blockers (10um):  0.06
Human Hepatotoxicity (H-HT):  0.81 Drug-induced Liver Injury (DILI):  0.723
AMES Toxicity:  0.916 Rat Oral Acute Toxicity:  0.029
Maximum Recommended Daily Dose:  0.031 Skin Sensitization:  0.999
Carcinogencity:  0.149 Eye Corrosion:  0.0
Eye Irritation:  0.427 Respiratory Toxicity:  0.018
Drug-induced Neurotoxicity:  0.052 Ototoxicity:  0.883
Hematotoxicity:  0.32 Drug-induced Nephrotoxicity:  0.883
Genotoxicity:  0.228 RPMI-8226 Immunitoxicity:  0.223
A549 Cytotoxicity:  0.582 Hek293 Cytotoxicity:  0.22
BCF:   0.606
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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:   3.039
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.686
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.762
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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
NPO16259 Syringa reticulata Species Oleaceae Eukaryota n.a. n.a. n.a. PMID[21955940]
NPO16259 Syringa reticulata Species Oleaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO16259 Syringa reticulata Species Oleaceae 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 > 100000.0 nM PMID[21955940]
NPT1 Others Radical scavenging activity n.a. EC50 > 100000.0 nM PMID[10691710]

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 NPC470235 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 NPC129417
0.7195 Intermediate Similarity NPC185307
0.6835 Remote Similarity NPC38041
0.6835 Remote Similarity NPC22150
0.6706 Remote Similarity NPC112861
0.6625 Remote Similarity NPC18979
0.6438 Remote Similarity NPC277804
0.6429 Remote Similarity NPC475224
0.6395 Remote Similarity NPC46092
0.6395 Remote Similarity NPC470950
0.6395 Remote Similarity NPC163635
0.622 Remote Similarity NPC279298
0.6207 Remote Similarity NPC478055
0.6104 Remote Similarity NPC276753
0.6104 Remote Similarity NPC205796
0.6098 Remote Similarity NPC286235
0.6026 Remote Similarity NPC246947
0.5977 Remote Similarity NPC299706
0.5977 Remote Similarity NPC115466
0.5977 Remote Similarity NPC61604
0.5955 Remote Similarity NPC486549
0.5955 Remote Similarity NPC283995
0.5952 Remote Similarity NPC471063
0.5714 Remote Similarity NPC51328
0.5714 Remote Similarity NPC486546
0.5714 Remote Similarity NPC55158
0.5618 Remote Similarity NPC39657
0.5435 Remote Similarity NPC486548
0.5393 Remote Similarity NPC469586
0.5393 Remote Similarity NPC44452
0.5275 Remote Similarity NPC486545
0.5256 Remote Similarity NPC210015
0.5128 Remote Similarity NPC472024
0.5128 Remote Similarity NPC270849
0.5122 Remote Similarity NPC278961
0.5122 Remote Similarity NPC113680
0.5109 Remote Similarity NPC245615
0.5109 Remote Similarity NPC186316
0.5106 Remote Similarity NPC486547
0.5063 Remote Similarity NPC26653
0.5063 Remote Similarity NPC80600
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 NPC470235 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