Natural Product: NPC324492

Natural Product IDNPC324492
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
(-)-(7R,7'r,7''s,8S,8's,8''s)-4',4''-Dihydroxy-3,3',3'',5-Tetramethoxy-7,9':7',9-Diepoxy-4,8''-Oxy-8,8'-Sesquineolignan-7'',9''-Diol
IUPAC Name (1S,2S)-2-[4-[(3R,3aS,6R,6aS)-3-(4-hydroxy-3-methoxyphenyl)-1,3,3a,4,6,6a-hexahydrofuro[3,4-c]furan-6-yl]-2,6-dimethoxyphenoxy]-1-(3-hydroxy-2-methoxyphenyl)propane-1,3-diol
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL1797762
PubChem CID 56666480
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0001392] Lignans, neolignans and related compounds
      • [CHEMONTID:0003686] Furanoid lignans

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 QHRLSLOEICSBNJ-MIJLFIHUSA-N
Standard InCHI InChI=1S/C31H36O11/c1-36-23-10-16(8-9-21(23)33)28-19-14-41-29(20(19)15-40-28)17-11-24(37-2)31(25(12-17)38-3)42-26(13-32)27(35)18-6-5-7-22(34)30(18)39-4/h5-12,19-20,26-29,32-35H,13-15H2,1-4H3/t19-,20-,26+,27+,28+,29+/m1/s1
SMILES COc1cc(cc(c1O[C@H]([C@H](c1cccc(c1OC)O)O)CO)OC)[C@@H]1OC[C@@H]2[C@H]1CO[C@H]2c1ccc(c(c1)OC)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   584.23 Volume:   574.914
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Van der Waals volume.
Dense:   1.016 LogP:   0.86
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.322
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.797
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The logarithm of aqueous solubility value.
Rotatable Bonds:   11.0 Rigid Bonds:   27.0
TPSA:   145.53
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Topological Polar Surface Area.
H-Bond Acceptor:   11.0
H-Bond Donor:   4.0 Rings:   5.0
Heavy Atoms:   11.0

MedChem Properties

QED Drug-Likeness Score:   0.262 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.493 Fsp3:   0.419
MCE-18:   101.455
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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:   1 PAINS Alert:   0
Colloidal aggregators:   0.525 Fluc inhibitor:   0.357
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.015
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.517
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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:   0.295

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.432 MDCK Permeability:   -5.179
Pgp-inhibitor:   0.036 Pgp-substrate:   0.137
PAMPA:   0.064
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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):   0.0
20% Bioavailability (F20%):   0.008 30% Bioavailability (F30%):   0.026
50% Bioavailability (F50%):   0.951

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.002 MRP1:   0.881
Plasma Protein Binding (PPB):   87.379% Volume Distribution (VD):   -0.082
Fu: 15.017%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.999 BCRP inhibitor:   0.258
BSEP inhibitor:   0.286

ADMET: Metabolism

CYP1A2-inhibitor:   0.009 CYP1A2-substrate:   0.001
CYP2C19-inhibitor:   0.911 CYP2C19-substrate:   0.009
CYP2C9-inhibitor:   0.002 CYP2C9-substrate:   0.001
CYP2D6-inhibitor:   0.142 CYP2D6-substrate:   0.227
CYP3A4-inhibitor:   0.998 CYP3A4-substrate:   0.263
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.998
HLM stability:   0.029
?
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):  6.223 Half-life (T1/2):  2.493

ADMET: Toxicity

hERG Blockers:  0.038 hERG Blockers (10um):  0.345
Human Hepatotoxicity (H-HT):  0.829 Drug-induced Liver Injury (DILI):  0.584
AMES Toxicity:  0.69 Rat Oral Acute Toxicity:  0.138
Maximum Recommended Daily Dose:  0.232 Skin Sensitization:  0.952
Carcinogencity:  0.228 Eye Corrosion:  0.0
Eye Irritation:  0.331 Respiratory Toxicity:  0.064
Drug-induced Neurotoxicity:  0.303 Ototoxicity:  0.773
Hematotoxicity:  0.158 Drug-induced Nephrotoxicity:  0.74
Genotoxicity:  0.675 RPMI-8226 Immunitoxicity:  0.255
A549 Cytotoxicity:  0.459 Hek293 Cytotoxicity:  0.357
BCF:   0.841
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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:   3.474
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.932
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.174
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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
NPO19192 Sinocalamus affinis Species n.a. n.a. n.a. stem n.a. PMID[21469695]
NPO19192 Sinocalamus affinis Species n.a. n.a. skin-removed stems Pingle Town, Sichuang Province, China 2008-AUG PMID[21469695]
NPO19192 Sinocalamus affinis Species n.a. n.a. n.a. n.a. n.a. PMID[22690646]
NPO19192 Sinocalamus affinis Species n.a. n.a. n.a. n.a. n.a. Database[COCONUT]
NPO19192 Sinocalamus affinis Species n.a. n.a. 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
NPT2 Others Unspecified n.a. Inhibition < 30.0 % PMID[21469695]

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 NPC324492 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 NPC317053
0.8806 High Similarity NPC324517
0.8806 High Similarity NPC321972
0.8769 High Similarity NPC320671
0.7761 Intermediate Similarity NPC470097
0.7313 Intermediate Similarity NPC470098
0.7313 Intermediate Similarity NPC473266
0.6901 Remote Similarity NPC328567
0.6901 Remote Similarity NPC470826
0.6184 Remote Similarity NPC114119
0.6184 Remote Similarity NPC471415
0.6026 Remote Similarity NPC473236
0.5974 Remote Similarity NPC51328
0.5974 Remote Similarity NPC55158
0.5806 Remote Similarity NPC115207
0.5806 Remote Similarity NPC158079
0.5806 Remote Similarity NPC228346
0.5806 Remote Similarity NPC40432
0.5806 Remote Similarity NPC161557
0.5692 Remote Similarity NPC126409
0.5692 Remote Similarity NPC99572
0.5672 Remote Similarity NPC27843
0.5672 Remote Similarity NPC7171
0.5309 Remote Similarity NPC38041
0.5309 Remote Similarity NPC22150
0.5278 Remote Similarity NPC88640
0.5278 Remote Similarity NPC101153
0.5278 Remote Similarity NPC193666
0.5278 Remote Similarity NPC123526
0.5278 Remote Similarity NPC608725
0.5217 Remote Similarity NPC478955
0.5217 Remote Similarity NPC478700
0.5065 Remote Similarity NPC265154

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC324492 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