Natural Product: NPC481758

Natural Product IDNPC481758
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
FEZVNZBNOAECEC-RBBKRZOGSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 52316407
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0000334] Flavonoids
        • [CHEMONTID:0000337] Flavans
          • [CHEMONTID:0003645] 2'-prenylated flavans

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 FEZVNZBNOAECEC-RBBKRZOGSA-N
Standard InCHI InChI=1S/C25H30O5/c1-14(2)5-9-18-19(20-10-7-15-6-8-17(26)13-21(15)29-20)11-16-12-22(27)25(3,4)30-24(16)23(18)28/h5-6,8,11,13,20,22,26-28H,7,9-10,12H2,1-4H3/t20-,22+/m0/s1
SMILES CC(=CCc1c(cc2C[C@H](C(C)(C)Oc2c1O)O)[C@@H]1CCc2ccc(cc2O1)O)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   410.21 Volume:   432.226
?
Van der Waals volume.
Dense:   0.949 LogP:   4.061
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.352
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.721
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The logarithm of aqueous solubility value.
Rotatable Bonds:   3.0 Rigid Bonds:   23.0
TPSA:   79.15
?
Topological Polar Surface Area.
H-Bond Acceptor:   5.0
H-Bond Donor:   3.0 Rings:   4.0
Heavy Atoms:   5.0

MedChem Properties

QED Drug-Likeness Score:   0.637 GASA:   0.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.013 Fsp3:   0.44
MCE-18:   86.667
?
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:   Accepted
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   1 PAINS Alert:   0
Colloidal aggregators:   0.866 Fluc inhibitor:   0.469
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.389
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.186
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.09 Promiscuous compounds:   0.057

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.937 MDCK Permeability:   -4.759
Pgp-inhibitor:   0.003 Pgp-substrate:   0.905
PAMPA:   0.159
?
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):   0.002
20% Bioavailability (F20%):   0.995 30% Bioavailability (F30%):   0.996
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.197 MRP1:   0.995
Plasma Protein Binding (PPB):   92.376% Volume Distribution (VD):   0.203
Fu: 12.717%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.888
OATP1B3 inhibitor:   0.855 BCRP inhibitor:   0.916
BSEP inhibitor:   0.704

ADMET: Metabolism

CYP1A2-inhibitor:   0.004 CYP1A2-substrate:   1.0
CYP2C19-inhibitor:   0.958 CYP2C19-substrate:   1.0
CYP2C9-inhibitor:   0.056 CYP2C9-substrate:   0.155
CYP2D6-inhibitor:   0.123 CYP2D6-substrate:   0.002
CYP3A4-inhibitor:   0.988 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   1.0
?
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):  7.667 Half-life (T1/2):  1.416

ADMET: Toxicity

hERG Blockers:  0.203 hERG Blockers (10um):  0.65
Human Hepatotoxicity (H-HT):  0.71 Drug-induced Liver Injury (DILI):  0.441
AMES Toxicity:  0.68 Rat Oral Acute Toxicity:  0.93
Maximum Recommended Daily Dose:  0.947 Skin Sensitization:  0.93
Carcinogencity:  0.623 Eye Corrosion:  0.0
Eye Irritation:  0.104 Respiratory Toxicity:  0.976
Drug-induced Neurotoxicity:  0.721 Ototoxicity:  0.813
Hematotoxicity:  0.193 Drug-induced Nephrotoxicity:  0.764
Genotoxicity:  0.945 RPMI-8226 Immunitoxicity:  0.107
A549 Cytotoxicity:  0.912 Hek293 Cytotoxicity:  0.86
BCF:   1.993
?
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:   4.54
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.179
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.514
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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
NPO8912 Daphne giraldii Species Thymelaeaceae Eukaryota n.a. n.a. n.a. PMID[27627130]
NPO8912 Daphne giraldii Species Thymelaeaceae Eukaryota n.a. n.a. n.a. PMID[28371676]
NPO8912 Daphne giraldii Species Thymelaeaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO8912 Daphne giraldii Species Thymelaeaceae 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
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. IC50 > 10000.0 nM PMID[27627130]

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 NPC481758 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 NPC481759
1.0 High Similarity NPC481760
1.0 High Similarity NPC481756
0.7794 Intermediate Similarity NPC474397
0.7042 Intermediate Similarity NPC233980
0.7042 Intermediate Similarity NPC481772
0.7042 Intermediate Similarity NPC197679
0.6923 Remote Similarity NPC265075
0.6471 Remote Similarity NPC32630
0.6418 Remote Similarity NPC473413
0.6269 Remote Similarity NPC234952
0.6269 Remote Similarity NPC481770
0.6269 Remote Similarity NPC481771
0.597 Remote Similarity NPC197351
0.5921 Remote Similarity NPC481757
0.5867 Remote Similarity NPC481763
0.5352 Remote Similarity NPC481767
0.5352 Remote Similarity NPC481769
0.5352 Remote Similarity NPC481768
0.5211 Remote Similarity NPC482704
0.5185 Remote Similarity NPC473876
0.5067 Remote Similarity NPC481764
0.5067 Remote Similarity NPC481766
0.5067 Remote Similarity NPC481765

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC481758 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