Natural Product: NPC328567

Natural Product IDNPC328567
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''r,8S,8's,8''s)-4',4''-Dihydroxy-3,3',3'',5,5',5''-Hexamethoxy-7,9':7',9-Diepoxy-4,8''-Oxy-8,8'-Sesquineolignan-7'',9''-Diol
IUPAC Name (1R,2S)-2-[4-[(3R,3aS,6R,6aS)-3-(4-hydroxy-3,5-dimethoxyphenyl)-1,3,3a,4,6,6a-hexahydrofuro[3,4-c]furan-6-yl]-2,6-dimethoxyphenoxy]-1-(3-hydroxy-2,4-dimethoxyphenyl)propane-1,3-diol
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL1797764
PubChem CID 56673401
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 JLMIRNDPAYCMDI-KNIDDCBVSA-N
Standard InCHI InChI=1S/C33H40O13/c1-38-21-8-7-18(32(43-6)29(21)37)27(35)26(13-34)46-33-24(41-4)11-17(12-25(33)42-5)31-20-15-44-30(19(20)14-45-31)16-9-22(39-2)28(36)23(10-16)40-3/h7-12,19-20,26-27,30-31,34-37H,13-15H2,1-6H3/t19-,20-,26+,27-,30+,31+/m1/s1
SMILES COC1=C(C(=C(C=C1)C(C(CO)OC2=C(C=C(C=C2OC)C3C4COC(C4CO3)C5=CC(=C(C(=C5)OC)O)OC)OC)O)OC)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   644.25 Volume:   627.086
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Van der Waals volume.
Dense:   1.027 LogP:   0.912
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.358
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.144
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The logarithm of aqueous solubility value.
Rotatable Bonds:   13.0 Rigid Bonds:   27.0
TPSA:   163.99
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Topological Polar Surface Area.
H-Bond Acceptor:   13.0
H-Bond Donor:   4.0 Rings:   5.0
Heavy Atoms:   13.0

MedChem Properties

QED Drug-Likeness Score:   0.213 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.602 Fsp3:   0.455
MCE-18:   107.25
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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:   0.025 Fluc inhibitor:   0.19
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.01
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.373
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.113 Promiscuous compounds:   0.159

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.272 MDCK Permeability:   -4.902
Pgp-inhibitor:   0.019 Pgp-substrate:   0.009
PAMPA:   0.001
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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):   0.01
20% Bioavailability (F20%):   0.005 30% Bioavailability (F30%):   0.017
50% Bioavailability (F50%):   0.993

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.027 MRP1:   0.994
Plasma Protein Binding (PPB):   81.04% Volume Distribution (VD):   -0.271
Fu: 21.943%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.748
BSEP inhibitor:   0.714

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.003
CYP2C19-inhibitor:   0.772 CYP2C19-substrate:   0.004
CYP2C9-inhibitor:   0.855 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.472 CYP2D6-substrate:   0.73
CYP3A4-inhibitor:   0.893 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.997
HLM stability:   0.5
?
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):  5.844 Half-life (T1/2):  2.408

ADMET: Toxicity

hERG Blockers:  0.119 hERG Blockers (10um):  0.42
Human Hepatotoxicity (H-HT):  0.6 Drug-induced Liver Injury (DILI):  0.706
AMES Toxicity:  0.187 Rat Oral Acute Toxicity:  0.148
Maximum Recommended Daily Dose:  0.796 Skin Sensitization:  0.056
Carcinogencity:  0.223 Eye Corrosion:  0.0
Eye Irritation:  0.002 Respiratory Toxicity:  0.489
Drug-induced Neurotoxicity:  0.602 Ototoxicity:  0.968
Hematotoxicity:  0.173 Drug-induced Nephrotoxicity:  0.54
Genotoxicity:  0.289 RPMI-8226 Immunitoxicity:  0.336
A549 Cytotoxicity:  0.181 Hek293 Cytotoxicity:  0.558
BCF:   0.96
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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:   3.629
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.234
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.331
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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 NPC328567 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
0.7879 Intermediate Similarity NPC320671
0.6901 Remote Similarity NPC324492
0.6901 Remote Similarity NPC317053
0.6812 Remote Similarity NPC470826
0.6486 Remote Similarity NPC324517
0.6486 Remote Similarity NPC321972
0.6471 Remote Similarity NPC470098
0.6471 Remote Similarity NPC473266
0.6429 Remote Similarity NPC470097
0.6102 Remote Similarity NPC165155
0.6102 Remote Similarity NPC24490
0.6081 Remote Similarity NPC114119
0.6081 Remote Similarity NPC471415
0.5541 Remote Similarity NPC216129
0.5541 Remote Similarity NPC130449
0.5541 Remote Similarity NPC248132
0.5538 Remote Similarity NPC185071
0.5517 Remote Similarity NPC141765
0.5517 Remote Similarity NPC34103
0.5513 Remote Similarity NPC473236
0.5294 Remote Similarity NPC298317
0.5294 Remote Similarity NPC255566
0.5256 Remote Similarity NPC286235
0.5077 Remote Similarity NPC126409
0.5077 Remote Similarity NPC99572

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC328567 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