Natural Product: NPC488675

Natural Product IDNPC488675
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
 MXWPHBJOKVLZIZ-ORAYPTAESA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 127026399
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0002650] Diarylheptanoids
        • [CHEMONTID:0002652] Cyclic diarylheptanoids
          • [CHEMONTID:0003524] Meta,meta-bridged biphenyls

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 MXWPHBJOKVLZIZ-ORAYPTAESA-N
Standard InCHI InChI=1S/C19H20O5/c20-13-7-12-3-5-17(22)15(9-12)14-8-11(1-4-16(14)21)2-6-18(23)19(24)10-13/h1,3-5,8-9,13,19-22,24H,2,6-7,10H2/t13-,19+/m0/s1
SMILES c1cc(c2-c3cc(ccc3O)C[C@@H](C[C@H](C(=O)CCc1c2)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   328.13 Volume:   337.007
?
Van der Waals volume.
Dense:   0.974 LogP:   0.911
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.309
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
 LogS:   -2.516
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   0.0 Rigid Bonds:   22.0
TPSA:   97.99
?
Topological Polar Surface Area.
 H-Bond Acceptor:   5.0
H-Bond Donor:   4.0 Rings:   3.0
Heavy Atoms:   5.0

MedChem Properties

QED Drug-Likeness Score:   0.592 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.027 Fsp3:   0.316
MCE-18:   62.64
?
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:   Rejected
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.464 Fluc inhibitor:   0.037
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.703
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
 Green fluorescence:   0.152
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.384 Promiscuous compounds:   0.205

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.041 MDCK Permeability:   -4.786
Pgp-inhibitor:   0.002 Pgp-substrate:   0.844
PAMPA:   0.987
?
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):   0.003
20% Bioavailability (F20%):   0.366 30% Bioavailability (F30%):   0.652
50% Bioavailability (F50%):   0.984

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.65
Plasma Protein Binding (PPB):   83.232% Volume Distribution (VD):   0.168
Fu: 15.174%
?
The fraction unbound in plasms.
 OATP1B1 inhibitor:   0.682
OATP1B3 inhibitor:   0.988 BCRP inhibitor:   0.108
BSEP inhibitor:   0.919

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.033 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.003 CYP2D6-substrate:   0.001
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.206
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.185
HLM stability:   0.618
?
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):  9.897 Half-life (T1/2):  2.494

ADMET: Toxicity

hERG Blockers:  0.066 hERG Blockers (10um):  0.293
Human Hepatotoxicity (H-HT):  0.525 Drug-induced Liver Injury (DILI):  0.196
AMES Toxicity:  0.821 Rat Oral Acute Toxicity:  0.454
Maximum Recommended Daily Dose:  0.922 Skin Sensitization:  0.834
Carcinogencity:  0.501 Eye Corrosion:  0.0
Eye Irritation:  0.807 Respiratory Toxicity:  0.808
Drug-induced Neurotoxicity:  0.416 Ototoxicity:  0.763
Hematotoxicity:  0.213 Drug-induced Nephrotoxicity:  0.824
Genotoxicity:  0.923 RPMI-8226 Immunitoxicity:  0.246
A549 Cytotoxicity:  0.847 Hek293 Cytotoxicity:  0.65
BCF:   0.657
?
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:   2.892
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.299
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
 LC50FM:   3.685
?
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
NPO12631 Corylus avellana Species Betulaceae Eukaryota n.a. n.a. n.a. DOI[10.1007/s10616-014-9808-y]
NPO12631 Corylus avellana Species Betulaceae Eukaryota n.a. n.a. n.a. DOI[10.1016/j.stress.2021.100038]
NPO12631 Corylus avellana Species Betulaceae Eukaryota Shells; Leaves n.a. n.a. PMID[18163585]
NPO12631 Corylus avellana Species Betulaceae Eukaryota n.a. n.a. n.a. PMID[25420236]
NPO12631 Corylus avellana Species Betulaceae Eukaryota Leaves n.a. n.a. PMID[26606246]
NPO12631 Corylus avellana Species Betulaceae Eukaryota Green Leafy Covers n.a. n.a. PMID[28520428]
NPO12631 Corylus avellana Species Betulaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO12631 Corylus avellana Species Betulaceae Eukaryota Seed n.a. n.a. Database[FooDB]
NPO12631 Corylus avellana Species Betulaceae Eukaryota n.a. n.a. Database[FooDB]
NPO12631 Corylus avellana Species Betulaceae 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
NPT1045 Cell line U2OS Homo sapiens EC50 > 150000.0 nM PMID[26606246]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. EC50 > 150000.0 nM PMID[26606246]
NPT621 Tissue Plasma Homo sapiens Activity n.a. n.a. n.a. PMID[33616390]
NPT621 Tissue Plasma Homo sapiens Inhibition = 44.4 % PMID[33616390]
NPT621 Tissue Plasma Homo sapiens Inhibition = 34.1 % PMID[33616390]

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 NPC488675 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
0.7209 Intermediate Similarity NPC473136
0.6875 Remote Similarity NPC488578
0.6875 Remote Similarity NPC231767
0.6875 Remote Similarity NPC608772
0.6531 Remote Similarity NPC608771
0.625 Remote Similarity NPC488677
0.6 Remote Similarity NPC182240
0.5918 Remote Similarity NPC31936
0.5882 Remote Similarity NPC601260
0.5833 Remote Similarity NPC488674
0.5714 Remote Similarity NPC602856
0.5652 Remote Similarity NPC473137
0.56 Remote Similarity NPC286222
0.549 Remote Similarity NPC127975
0.5349 Remote Similarity NPC138942
0.5217 Remote Similarity NPC488678
0.5192 Remote Similarity NPC488580
0.5192 Remote Similarity NPC611070
0.5077 Remote Similarity NPC488676
0.5077 Remote Similarity NPC606722

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC488675 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