Natural Product: NPC43065

Natural Product IDNPC43065
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
(-)-(7R,8S,7''s,8''r)-3,3'',5,5'-Tetramethoxy-4''-Hydroxy-4',7-Epoxy-8',9'-Dinor-4,8''-Oxy-8,3'-Sesquineolignan-7'',9,9''-Triol-7'-Al
IUPAC Name (2R,3S)-2-[4-[(1S,2R)-1,3-dihydroxy-1-(4-hydroxy-3-methoxyphenyl)propan-2-yl]oxy-3,5-dimethoxyphenyl]-3-(hydroxymethyl)-7-methoxy-2,3-dihydro-1-benzofuran-5-carbaldehyde
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL1797769
PubChem CID 53356209
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 HSGQUCFRADTCMJ-WXYGLEJPSA-N
Standard InCHI InChI=1S/C29H32O11/c1-35-21-9-16(5-6-20(21)33)26(34)25(14-32)39-29-23(37-3)10-17(11-24(29)38-4)27-19(13-31)18-7-15(12-30)8-22(36-2)28(18)40-27/h5-12,19,25-27,31-34H,13-14H2,1-4H3/t19-,25-,26+,27+/m1/s1
SMILES OC[C@H]([C@H](c1ccc(c(c1)OC)O)O)Oc1c(OC)cc(cc1OC)[C@@H]1Oc2c([C@H]1CO)cc(cc2OC)C=O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   556.19 Volume:   546.242
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Van der Waals volume.
Dense:   1.018 LogP:   1.781
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.213
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.825
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The logarithm of aqueous solubility value.
Rotatable Bonds:   12.0 Rigid Bonds:   23.0
TPSA:   153.37
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Topological Polar Surface Area.
H-Bond Acceptor:   11.0
H-Bond Donor:   4.0 Rings:   4.0
Heavy Atoms:   11.0

MedChem Properties

QED Drug-Likeness Score:   0.244 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.112 Fsp3:   0.345
MCE-18:   83.769
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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:   1
Chelating Alert:   1 PAINS Alert:   0
Colloidal aggregators:   0.788 Fluc inhibitor:   0.289
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.05
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.552
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.234 Promiscuous compounds:   0.271

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.432 MDCK Permeability:   -5.077
Pgp-inhibitor:   0.679 Pgp-substrate:   0.036
PAMPA:   0.212
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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):   0.001
20% Bioavailability (F20%):   0.038 30% Bioavailability (F30%):   0.044
50% Bioavailability (F50%):   0.807

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.109 MRP1:   0.416
Plasma Protein Binding (PPB):   78.305% Volume Distribution (VD):   0.132
Fu: 23.825%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.999
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.808
BSEP inhibitor:   0.875

ADMET: Metabolism

CYP1A2-inhibitor:   0.008 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.511 CYP2C19-substrate:   0.005
CYP2C9-inhibitor:   0.01 CYP2C9-substrate:   0.158
CYP2D6-inhibitor:   0.008 CYP2D6-substrate:   0.148
CYP3A4-inhibitor:   0.303 CYP3A4-substrate:   0.038
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.942
HLM stability:   0.0
?
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):  5.978 Half-life (T1/2):  1.944

ADMET: Toxicity

hERG Blockers:  0.07 hERG Blockers (10um):  0.2
Human Hepatotoxicity (H-HT):  0.932 Drug-induced Liver Injury (DILI):  0.617
AMES Toxicity:  0.591 Rat Oral Acute Toxicity:  0.2
Maximum Recommended Daily Dose:  0.146 Skin Sensitization:  0.982
Carcinogencity:  0.343 Eye Corrosion:  0.0
Eye Irritation:  0.422 Respiratory Toxicity:  0.287
Drug-induced Neurotoxicity:  0.735 Ototoxicity:  0.798
Hematotoxicity:  0.391 Drug-induced Nephrotoxicity:  0.682
Genotoxicity:  0.501 RPMI-8226 Immunitoxicity:  0.283
A549 Cytotoxicity:  0.69 Hek293 Cytotoxicity:  0.411
BCF:   0.589
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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:   3.385
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.919
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.075
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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 NPC43065 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
0.76 Intermediate Similarity NPC470769
0.7568 Intermediate Similarity NPC260397
0.7403 Intermediate Similarity NPC470828
0.7037 Intermediate Similarity NPC470827
0.6818 Remote Similarity NPC300757
0.6264 Remote Similarity NPC485396
0.6264 Remote Similarity NPC485394
0.6264 Remote Similarity NPC485395
0.6154 Remote Similarity NPC181615
0.5797 Remote Similarity NPC9370
0.5797 Remote Similarity NPC287495
0.56 Remote Similarity NPC470098
0.56 Remote Similarity NPC473266
0.5588 Remote Similarity NPC310854
0.5417 Remote Similarity NPC16208
0.5405 Remote Similarity NPC267291
0.5405 Remote Similarity NPC481839
0.5385 Remote Similarity NPC470097
0.5366 Remote Similarity NPC473236
0.5342 Remote Similarity NPC7903
0.5342 Remote Similarity NPC160991
0.5316 Remote Similarity NPC470826
0.5132 Remote Similarity NPC472961
0.5132 Remote Similarity NPC472962
0.5067 Remote Similarity NPC75695
0.5065 Remote Similarity NPC284881
0.5065 Remote Similarity NPC93433
0.5065 Remote Similarity NPC474444

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC43065 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