Natural Product: NPC43508

Natural Product IDNPC43508
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
(-)-Dehydrodiconiferyl Alcohol 4-O-Beta-D-Glucopyranoside
IUPAC Name (2R,3S,4S,5R,6S)-2-(hydroxymethyl)-6-[4-[(2S,3R)-3-(hydroxymethyl)-5-[(E)-3-hydroxyprop-1-enyl]-7-methoxy-2,3-dihydro-1-benzofuran-2-yl]-2-methoxyphenoxy]oxane-3,4,5-triol
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL1086907
PubChem CID 5316442
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0003405] 2-arylbenzofuran flavonoids

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 SPWHQAUMLDQOFU-QXGRHDLQSA-N
Standard InCHI InChI=1S/C26H32O11/c1-33-18-10-14(5-6-17(18)35-26-23(32)22(31)21(30)20(12-29)36-26)24-16(11-28)15-8-13(4-3-7-27)9-19(34-2)25(15)37-24/h3-6,8-10,16,20-24,26-32H,7,11-12H2,1-2H3/b4-3+/t16-,20+,21+,22-,23+,24+,26+/m0/s1
SMILES OC/C=C/c1cc(OC)c2c(c1)[C@H](CO)[C@H](O2)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:   520.19 Volume:   502.264
?
Van der Waals volume.
Dense:   1.036 LogP:   1.052
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.588
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.59
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   9.0 Rigid Bonds:   23.0
TPSA:   167.53
?
Topological Polar Surface Area.
H-Bond Acceptor:   11.0
H-Bond Donor:   6.0 Rings:   4.0
Heavy Atoms:   11.0

MedChem Properties

QED Drug-Likeness Score:   0.265 GASA:   0.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.371 Fsp3:   0.462
MCE-18:   87.579
?
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:   0.587 Fluc inhibitor:   0.393
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.085
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.512
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.191 Promiscuous compounds:   0.08

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.465 MDCK Permeability:   -5.058
Pgp-inhibitor:   0.003 Pgp-substrate:   0.075
PAMPA:   0.606
?
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):   0.527
20% Bioavailability (F20%):   0.227 30% Bioavailability (F30%):   0.997
50% Bioavailability (F50%):   0.993

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.011 MRP1:   0.013
Plasma Protein Binding (PPB):   75.924% Volume Distribution (VD):   -0.258
Fu: 21.507%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.496
BSEP inhibitor:   0.169

ADMET: Metabolism

CYP1A2-inhibitor:   0.224 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.221 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.001
CYP3A4-inhibitor:   0.002 CYP3A4-substrate:   0.013
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.05
HLM stability:   0.019
?
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):  2.426 Half-life (T1/2):  3.634

ADMET: Toxicity

hERG Blockers:  0.032 hERG Blockers (10um):  0.049
Human Hepatotoxicity (H-HT):  0.931 Drug-induced Liver Injury (DILI):  0.889
AMES Toxicity:  0.926 Rat Oral Acute Toxicity:  0.01
Maximum Recommended Daily Dose:  0.05 Skin Sensitization:  0.998
Carcinogencity:  0.27 Eye Corrosion:  0.0
Eye Irritation:  0.106 Respiratory Toxicity:  0.013
Drug-induced Neurotoxicity:  0.026 Ototoxicity:  0.975
Hematotoxicity:  0.528 Drug-induced Nephrotoxicity:  0.777
Genotoxicity:  0.629 RPMI-8226 Immunitoxicity:  0.141
A549 Cytotoxicity:  0.448 Hek293 Cytotoxicity:  0.229
BCF:   0.562
?
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:   3.117
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.944
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.862
?
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
NPO29221 Sarcandra glabra Species Chloranthaceae Eukaryota Whole plant n.a. n.a. PMID[16643038]
NPO14524 Delisea pulchra Species Bonnemaisoniaceae Eukaryota n.a. n.a. n.a. PMID[16933872]
NPO11394 Dichroa febrifuga Species Hydrangeaceae Eukaryota n.a. n.a. n.a. PMID[19467876]
NPO18521 Capparis flavicans Species Capparaceae Eukaryota aerial parts Khon Kaen Province, Thailand 2006-Aug PMID[19943620]
NPO29221 Sarcandra glabra Species Chloranthaceae Eukaryota n.a. n.a. n.a. PMID[20038159]
NPO29221 Sarcandra glabra Species Chloranthaceae Eukaryota aerial part n.a. n.a. PMID[25442304]
NPO27759 Fusarium poae Species Nectriaceae Eukaryota n.a. n.a. n.a. PMID[25475336]
NPO27416 Ceratonia siliqua Species Fabaceae Eukaryota n.a. n.a. n.a. PMID[37371939]
NPO27416 Ceratonia siliqua Species Fabaceae Eukaryota n.a. n.a. n.a. PMID[37569477]
NPO27022 Neisseria meningitidis Species Neisseriaceae Bacteria n.a. n.a. n.a. PMID[4990768]
NPO27523 Brickellia glutinosa Species Asteraceae Eukaryota n.a. n.a. n.a. PMID[6436442]
NPO14017 Bulbine abyssinica Species Asphodelaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO27416 Ceratonia siliqua Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO29221 Sarcandra glabra Species Chloranthaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO29171 Ascochyta salicorniae Species Didymellaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO27523 Brickellia glutinosa Species Asteraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO27759 Fusarium poae Species Nectriaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO8618 Hypotrachyna cirrhata Species Parmeliaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO27022 Neisseria meningitidis Species Neisseriaceae Bacteria n.a. n.a. n.a. Database[COCONUT]
NPO27536 Sidastrum quinquenervium Species Malvaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO27177 Telitoxicum glaziovii Species Menispermaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO11394 Dichroa febrifuga Species Hydrangeaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO5546 Calycophyllum spruceanum Species Rubiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO14524 Delisea pulchra Species Bonnemaisoniaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO12937 Tithonia pedunculata Species Asteraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO27416 Ceratonia siliqua Species Fabaceae Eukaryota n.a. n.a. Database[FooDB]
NPO27416 Ceratonia siliqua Species Fabaceae Eukaryota Fruit n.a. n.a. Database[FooDB]
NPO27416 Ceratonia siliqua Species Fabaceae Eukaryota Seed n.a. n.a. Database[FooDB]
NPO11394 Dichroa febrifuga Species Hydrangeaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO29221 Sarcandra glabra Species Chloranthaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO27416 Ceratonia siliqua Species Fabaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO11394 Dichroa febrifuga Species Hydrangeaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO29221 Sarcandra glabra Species Chloranthaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO5546 Calycophyllum spruceanum Species Rubiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO27416 Ceratonia siliqua Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO27416 Ceratonia siliqua Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO30113 Cistanche tubelosa Species Orobanchaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO29221 Sarcandra glabra Species Chloranthaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO11394 Dichroa febrifuga Species Hydrangeaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO14524 Delisea pulchra Species Bonnemaisoniaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO27536 Sidastrum quinquenervium Species Malvaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO8618 Hypotrachyna cirrhata Species Parmeliaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO27177 Telitoxicum glaziovii Species Menispermaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO11394 Dichroa febrifuga Species Hydrangeaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO29171 Ascochyta salicorniae Species Didymellaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO27523 Brickellia glutinosa Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO18521 Capparis flavicans Species Capparaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO27759 Fusarium poae Species Nectriaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO29221 Sarcandra glabra Species Chloranthaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO5546 Calycophyllum spruceanum Species Rubiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO21864 Agathis alba Species Araucariaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO5051 Lobelia urens Species Campanulaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO27022 Neisseria meningitidis Species Neisseriaceae Bacteria n.a. n.a. n.a. Database[UNPD]
NPO3224 Chloridium virescens Species Chaetosphaeriaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO13240 Pinguipes brasilianus Species Pinguipedidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO8396 Quercus macrocarpa Species Fagaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9459 Piper hoffmannseggianum Species Piperaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO14017 Bulbine abyssinica Species Asphodelaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO27416 Ceratonia siliqua Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO12937 Tithonia pedunculata 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
NPT83 Cell line MCF7 Homo sapiens Activity = 0.3 uM PMID[19943620]
NPT83 Cell line MCF7 Homo sapiens Activity > 100.0 uM PMID[19943620]
NPT396 Cell line T47D Homo sapiens Activity < 0.1 uM PMID[19943620]
NPT396 Cell line T47D Homo sapiens Activity = 63.0 uM PMID[19943620]
NPT396 Cell line T47D Homo sapiens Activity > 100.0 uM PMID[19943620]

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 NPC43508 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
0.8182 Intermediate Similarity NPC269559
0.7273 Intermediate Similarity NPC217635
0.7059 Intermediate Similarity NPC26394
0.6812 Remote Similarity NPC248355
0.6707 Remote Similarity NPC479448
0.65 Remote Similarity NPC476301
0.6296 Remote Similarity NPC270751
0.622 Remote Similarity NPC79429
0.5854 Remote Similarity NPC199539
0.5811 Remote Similarity NPC55040
0.5733 Remote Similarity NPC302378
0.5733 Remote Similarity NPC156502
0.5733 Remote Similarity NPC10737
0.5694 Remote Similarity NPC49074
0.5541 Remote Similarity NPC87725
0.5541 Remote Similarity NPC263261
0.5385 Remote Similarity NPC276753
0.5385 Remote Similarity NPC205796
0.5316 Remote Similarity NPC37468
0.5316 Remote Similarity NPC246947
0.5253 Remote Similarity NPC316539
0.5227 Remote Similarity NPC478701
0.5227 Remote Similarity NPC260397
0.5205 Remote Similarity NPC166040
0.52 Remote Similarity NPC270849
0.5195 Remote Similarity NPC104167
0.5165 Remote Similarity NPC302610
0.5125 Remote Similarity NPC604095
0.5065 Remote Similarity NPC479029
0.5062 Remote Similarity NPC253878
0.5062 Remote Similarity NPC206413
0.5062 Remote Similarity NPC482649
0.5062 Remote Similarity NPC149003
0.5062 Remote Similarity NPC482647
0.5062 Remote Similarity NPC482648
0.5062 Remote Similarity NPC482651
0.5062 Remote Similarity NPC194244
0.5062 Remote Similarity NPC482650
0.5059 Remote Similarity NPC286235
0.5056 Remote Similarity NPC471667
0.5055 Remote Similarity NPC275284

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC43508 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