Natural Product: NPC326095

Natural Product IDNPC326095
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,8S,8's)-4'-Hydroxy-3,3',4,5,5'-Pentamethoxy-7,7'-Epoxylignan-9,9'-Diol
IUPAC Name 4-[(2R,3S,4S,5R)-3,4-bis(hydroxymethyl)-5-(3,4,5-trimethoxyphenyl)oxolan-2-yl]-2,6-dimethoxyphenol
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL1797773
PubChem CID 56680032
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0001392] Lignans, neolignans and related compounds
      • [CHEMONTID:0003686] Furanoid lignans
        • [CHEMONTID:0001604] Tetrahydrofuran lignans
          • [CHEMONTID:0003423] 7,7'-epoxylignans

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 TXNROPYUDLUIHU-SDVFQCAASA-N
Standard InCHI InChI=1S/C23H30O9/c1-27-16-6-12(7-17(28-2)20(16)26)21-14(10-24)15(11-25)22(32-21)13-8-18(29-3)23(31-5)19(9-13)30-4/h6-9,14-15,21-22,24-26H,10-11H2,1-5H3/t14-,15-,21+,22+/m1/s1
SMILES COC1=CC(=CC(=C1O)OC)C2C(C(C(O2)C3=CC(=C(C(=C3)OC)OC)OC)CO)CO

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   450.19 Volume:   443.988
?
Van der Waals volume.
Dense:   1.014 LogP:   1.176
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.647
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
 LogS:   -2.732
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   9.0 Rigid Bonds:   17.0
TPSA:   116.07
?
Topological Polar Surface Area.
 H-Bond Acceptor:   9.0
H-Bond Donor:   3.0 Rings:   3.0
Heavy Atoms:   9.0

MedChem Properties

QED Drug-Likeness Score:   0.53 GASA:   0.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   3.75 Fsp3:   0.478
MCE-18:   67.941
?
MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
 Lipinski Rule-of-5:   Rejected
Pfizer Rule:   Rejected GSK Rule:   Accepted
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   1 PAINS Alert:   0
Colloidal aggregators:   0.05 Fluc inhibitor:   0.041
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.011
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
 Green fluorescence:   0.4
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.279 Promiscuous compounds:   0.369

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.04 MDCK Permeability:   -4.828
Pgp-inhibitor:   0.099 Pgp-substrate:   0.121
PAMPA:   0.006
?
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):   0.001
20% Bioavailability (F20%):   0.008 30% Bioavailability (F30%):   0.004
50% Bioavailability (F50%):   0.85

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.491 MRP1:   0.999
Plasma Protein Binding (PPB):   78.916% Volume Distribution (VD):   -0.164
Fu: 21.605%
?
The fraction unbound in plasms.
 OATP1B1 inhibitor:   0.992
OATP1B3 inhibitor:   0.998 BCRP inhibitor:   0.314
BSEP inhibitor:   0.948

ADMET: Metabolism

CYP1A2-inhibitor:   0.028 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   1.0 CYP2C19-substrate:   0.009
CYP2C9-inhibitor:   0.999 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.894 CYP2D6-substrate:   0.843
CYP3A4-inhibitor:   0.297 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.649
HLM stability:   0.007
?
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):  7.322 Half-life (T1/2):  1.777

ADMET: Toxicity

hERG Blockers:  0.092 hERG Blockers (10um):  0.354
Human Hepatotoxicity (H-HT):  0.699 Drug-induced Liver Injury (DILI):  0.698
AMES Toxicity:  0.288 Rat Oral Acute Toxicity:  0.342
Maximum Recommended Daily Dose:  0.406 Skin Sensitization:  0.396
Carcinogencity:  0.423 Eye Corrosion:  0.0
Eye Irritation:  0.196 Respiratory Toxicity:  0.64
Drug-induced Neurotoxicity:  0.759 Ototoxicity:  0.863
Hematotoxicity:  0.513 Drug-induced Nephrotoxicity:  0.319
Genotoxicity:  0.203 RPMI-8226 Immunitoxicity:  0.258
A549 Cytotoxicity:  0.273 Hek293 Cytotoxicity:  0.317
BCF:   0.703
?
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:   3.01
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.465
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
 LC50FM:   3.517
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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 NPC326095 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
0.8649 High Similarity NPC244983
0.7561 Intermediate Similarity NPC204215
0.6444 Remote Similarity NPC165155
0.6444 Remote Similarity NPC24490
0.6222 Remote Similarity NPC242807
0.6222 Remote Similarity NPC153739
0.614 Remote Similarity NPC212890
0.5833 Remote Similarity NPC158331
0.561 Remote Similarity NPC9891
0.561 Remote Similarity NPC88297
0.561 Remote Similarity NPC186845
0.5385 Remote Similarity NPC185071
0.5357 Remote Similarity NPC477702
0.5345 Remote Similarity NPC187774
0.5333 Remote Similarity NPC141765
0.5333 Remote Similarity NPC34103
0.5306 Remote Similarity NPC175067
0.5283 Remote Similarity NPC287504
0.5283 Remote Similarity NPC611302
0.5088 Remote Similarity NPC287124
0.5082 Remote Similarity NPC118385

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC326095 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