Natural Product: NPC81738

Natural Product IDNPC81738
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
FWRZDNFXFFWBGP-LHHMAMHXSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 23757184
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0001392] Lignans, neolignans and related compounds
      • [CHEMONTID:0001511] Lignan glycosides

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 FWRZDNFXFFWBGP-LHHMAMHXSA-N
Standard InCHI InChI=1S/C26H32O11/c1-33-19-9-14(3-5-17(19)28)8-16-15(12-35-25(16)32)7-13-4-6-18(20(10-13)34-2)36-26-24(31)23(30)22(29)21(11-27)37-26/h3-6,9-10,15-16,21-24,26-31H,7-8,11-12H2,1-2H3/t15-,16+,21+,22+,23-,24+,26+/m0/s1
SMILES COc1cc(ccc1O)C[C@@H]1[C@@H](Cc2ccc(c(c2)OC)O[C@H]2[C@@H]([C@H]([C@@H]([C@@H](CO)O2)O)O)O)COC1=O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   520.19 Volume:   502.264
?
Van der Waals volume.
Dense:   1.036 LogP:   0.086
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   0.706
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.355
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   9.0 Rigid Bonds:   24.0
TPSA:   164.37
?
Topological Polar Surface Area.
H-Bond Acceptor:   11.0
H-Bond Donor:   5.0 Rings:   4.0
Heavy Atoms:   11.0

MedChem Properties

QED Drug-Likeness Score:   0.286 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.166 Fsp3:   0.5
MCE-18:   88.667
?
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:   0.592 Fluc inhibitor:   0.052
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.042
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.354
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.085 Promiscuous compounds:   0.193

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.93 MDCK Permeability:   -5.007
Pgp-inhibitor:   0.002 Pgp-substrate:   0.263
PAMPA:   0.545
?
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):   0.376
20% Bioavailability (F20%):   0.789 30% Bioavailability (F30%):   0.992
50% Bioavailability (F50%):   0.979

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.261
Plasma Protein Binding (PPB):   78.054% Volume Distribution (VD):   -0.347
Fu: 19.97%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.022
BSEP inhibitor:   0.248

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.971 CYP2C19-substrate:   0.067
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.101
CYP3A4-inhibitor:   1.0 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.196
?
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):  2.641 Half-life (T1/2):  4.097

ADMET: Toxicity

hERG Blockers:  0.04 hERG Blockers (10um):  0.185
Human Hepatotoxicity (H-HT):  0.972 Drug-induced Liver Injury (DILI):  0.993
AMES Toxicity:  0.966 Rat Oral Acute Toxicity:  0.025
Maximum Recommended Daily Dose:  0.071 Skin Sensitization:  0.998
Carcinogencity:  0.405 Eye Corrosion:  0.0
Eye Irritation:  0.156 Respiratory Toxicity:  0.008
Drug-induced Neurotoxicity:  0.088 Ototoxicity:  0.976
Hematotoxicity:  0.661 Drug-induced Nephrotoxicity:  0.972
Genotoxicity:  0.992 RPMI-8226 Immunitoxicity:  0.275
A549 Cytotoxicity:  0.543 Hek293 Cytotoxicity:  0.469
BCF:   0.723
?
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:   3.419
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.984
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.214
?
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
NPO12713 Brachylaena ramiflora Species Asteraceae Eukaryota twigs Madagascar rainforest n.a. PMID[12193040]
NPO13045 Kielmeyera albopunctata Species Calophyllaceae Eukaryota n.a. n.a. n.a. PMID[12762797]
NPO3935 Asplenium septentrionale Species Aspleniaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO26016 Spheciospongia vagabunda Species Spirastrellidae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO12713 Brachylaena ramiflora Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO26016 Spheciospongia vagabunda Species Spirastrellidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO6858 Achillea tuzsonii Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO25196 Nuxia oppositifolia Species Stilbaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO10799 Espeletia moritziana Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO11869 Vernonia leopoldi Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO13045 Kielmeyera albopunctata Species Calophyllaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO3935 Asplenium septentrionale Species Aspleniaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO5136 Colliguaja salicifolia Species Euphorbiaceae 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

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 NPC81738 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 NPC299706
1.0 High Similarity NPC115466
1.0 High Similarity NPC61604
0.863 High Similarity NPC245615
0.8551 High Similarity NPC158635
0.8551 High Similarity NPC229882
0.7821 Intermediate Similarity NPC486549
0.7821 Intermediate Similarity NPC486548
0.7722 Intermediate Similarity NPC486546
0.725 Intermediate Similarity NPC163635
0.6957 Remote Similarity NPC300776
0.6957 Remote Similarity NPC176814
0.6957 Remote Similarity NPC4982
0.6957 Remote Similarity NPC606629
0.6951 Remote Similarity NPC486547
0.6829 Remote Similarity NPC185307
0.6829 Remote Similarity NPC470950
0.6353 Remote Similarity NPC283995
0.6351 Remote Similarity NPC278961
0.6351 Remote Similarity NPC113680
0.6324 Remote Similarity NPC68779
0.6324 Remote Similarity NPC108598
0.6267 Remote Similarity NPC282291
0.6267 Remote Similarity NPC166137
0.625 Remote Similarity NPC106920
0.625 Remote Similarity NPC15811
0.619 Remote Similarity NPC486545
0.619 Remote Similarity NPC39657
0.6154 Remote Similarity NPC478703
0.6154 Remote Similarity NPC478704
0.5977 Remote Similarity NPC129417
0.5977 Remote Similarity NPC470235
0.5976 Remote Similarity NPC471063
0.5972 Remote Similarity NPC273657
0.5854 Remote Similarity NPC38041
0.5854 Remote Similarity NPC22150
0.5769 Remote Similarity NPC216223
0.5753 Remote Similarity NPC472024
0.5753 Remote Similarity NPC270849
0.5682 Remote Similarity NPC46092
0.5682 Remote Similarity NPC478055
0.5676 Remote Similarity NPC26653
0.5676 Remote Similarity NPC80600
0.56 Remote Similarity NPC5310
0.5529 Remote Similarity NPC38699
0.5476 Remote Similarity NPC18979
0.5467 Remote Similarity NPC210015
0.5362 Remote Similarity NPC223807
0.5294 Remote Similarity NPC227902
0.5294 Remote Similarity NPC279298
0.5294 Remote Similarity NPC147596
0.5275 Remote Similarity NPC112861
0.527 Remote Similarity NPC9912
0.519 Remote Similarity NPC145569
0.5176 Remote Similarity NPC61594
0.5176 Remote Similarity NPC286235
0.5135 Remote Similarity NPC166040
0.5128 Remote Similarity NPC100675
0.5128 Remote Similarity NPC601691
0.5125 Remote Similarity NPC276753
0.5125 Remote Similarity NPC205796
0.5125 Remote Similarity NPC469661
0.5116 Remote Similarity NPC56735
0.5068 Remote Similarity NPC211386
0.5063 Remote Similarity NPC302378
0.5062 Remote Similarity NPC246947
0.5062 Remote Similarity NPC604095
0.506 Remote Similarity NPC478705
0.5056 Remote Similarity NPC44452

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC81738 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