Natural Product: NPC307215

Natural Product IDNPC307215
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
GRBCXNICXUJJIW-KGLIPLIRSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID n.a.
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0001392] Lignans, neolignans and related compounds
      • [CHEMONTID:0001969] Dibenzylbutane 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 GRBCXNICXUJJIW-KGLIPLIRSA-N
Standard InCHI InChI=1S/C21H24O5/c1-13(9-15-5-7-17(23-3)19(10-15)24-4)14(2)21(22)16-6-8-18-20(11-16)26-12-25-18/h5-8,10-11,13-14H,9,12H2,1-4H3/t13-,14+/m1/s1
SMILES C[C@H](Cc1ccc(c(c1)OC)OC)[C@H](C)C(=O)c1ccc2c(c1)OCO2

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   356.16 Volume:   371.599
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Van der Waals volume.
Dense:   0.958 LogP:   3.365
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.303
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.169
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The logarithm of aqueous solubility value.
Rotatable Bonds:   7.0 Rigid Bonds:   17.0
TPSA:   53.99
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Topological Polar Surface Area.
H-Bond Acceptor:   5.0
H-Bond Donor:   0.0 Rings:   3.0
Heavy Atoms:   5.0

MedChem Properties

QED Drug-Likeness Score:   0.698 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   2.936 Fsp3:   0.381
MCE-18:   55.241
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MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Rejected
Pfizer Rule:   Accepted GSK Rule:   Rejected
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.133 Fluc inhibitor:   0.661
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.039
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.198
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.356 Promiscuous compounds:   0.13

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.851 MDCK Permeability:   -4.666
Pgp-inhibitor:   0.512 Pgp-substrate:   0.043
PAMPA:   0.034
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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%):   0.026 30% Bioavailability (F30%):   0.001
50% Bioavailability (F50%):   0.536

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.409 MRP1:   0.454
Plasma Protein Binding (PPB):   93.894% Volume Distribution (VD):   0.196
Fu: 5.774%
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The fraction unbound in plasms.
OATP1B1 inhibitor:   0.96
OATP1B3 inhibitor:   0.942 BCRP inhibitor:   0.077
BSEP inhibitor:   1.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.394 CYP1A2-substrate:   0.997
CYP2C19-inhibitor:   1.0 CYP2C19-substrate:   1.0
CYP2C9-inhibitor:   0.003 CYP2C9-substrate:   0.988
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   1.0
CYP3A4-inhibitor:   1.0 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.217 CYP2C8-inhibitor:   1.0
HLM stability:   0.934
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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):  5.673 Half-life (T1/2):  0.639

ADMET: Toxicity

hERG Blockers:  0.326 hERG Blockers (10um):  0.539
Human Hepatotoxicity (H-HT):  0.677 Drug-induced Liver Injury (DILI):  0.934
AMES Toxicity:  0.671 Rat Oral Acute Toxicity:  0.293
Maximum Recommended Daily Dose:  0.393 Skin Sensitization:  0.774
Carcinogencity:  0.61 Eye Corrosion:  0.058
Eye Irritation:  0.903 Respiratory Toxicity:  0.679
Drug-induced Neurotoxicity:  0.903 Ototoxicity:  0.459
Hematotoxicity:  0.595 Drug-induced Nephrotoxicity:  0.741
Genotoxicity:  0.845 RPMI-8226 Immunitoxicity:  0.176
A549 Cytotoxicity:  0.264 Hek293 Cytotoxicity:  0.523
BCF:   2.088
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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:   4.308
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.802
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.242
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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
NPO12265 Aquilaria agallochum Species Thymelaeaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO5619 Chrysosplenium japonicum Species Saxifragaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO5619 Chrysosplenium japonicum Species Saxifragaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO12265 Aquilaria agallochum Species Thymelaeaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO5619 Chrysosplenium japonicum Species Saxifragaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO12265 Aquilaria agallochum Species Thymelaeaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO12265 Aquilaria agallochum Species Thymelaeaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO5619 Chrysosplenium japonicum Species Saxifragaceae 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 NPC307215 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
0.907 High Similarity NPC485482
0.75 Intermediate Similarity NPC344161
0.7358 Intermediate Similarity NPC46880
0.7255 Intermediate Similarity NPC28398
0.6591 Remote Similarity NPC80241
0.6591 Remote Similarity NPC301641
0.6591 Remote Similarity NPC485483
0.6415 Remote Similarity NPC474990
0.5926 Remote Similarity NPC274356
0.5926 Remote Similarity NPC101748
0.5909 Remote Similarity NPC165106
0.5769 Remote Similarity NPC249788
0.569 Remote Similarity NPC100425
0.5556 Remote Similarity NPC104077
0.5556 Remote Similarity NPC219671
0.5556 Remote Similarity NPC147616
0.5556 Remote Similarity NPC485480
0.5417 Remote Similarity NPC477886
0.541 Remote Similarity NPC106739
0.5333 Remote Similarity NPC474691
0.5333 Remote Similarity NPC487677
0.5333 Remote Similarity NPC487675
0.5306 Remote Similarity NPC604144
0.52 Remote Similarity NPC40352
0.52 Remote Similarity NPC213711
0.5185 Remote Similarity NPC196937
0.5172 Remote Similarity NPC205915
0.5094 Remote Similarity NPC476748
0.5088 Remote Similarity NPC143895
0.5079 Remote Similarity NPC471505

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC307215 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
0.5909 Remote Similarity NPD5283 Phase 2

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