Natural Product: NPC488504

Natural Product IDNPC488504
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
YGILXMANNHJYJZ-QDNVUCNISA-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:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001551] Diterpenoids

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 YGILXMANNHJYJZ-QDNVUCNISA-N
Standard InCHI InChI=1S/C20H32O3/c1-14(12-18(22)23)6-8-16-15(2)7-9-17-19(3,13-21)10-5-11-20(16,17)4/h12,16-17,21H,2,5-11,13H2,1,3-4H3,(H,22,23)/b14-12+/t16-,17?,19+,20+/m0/s1
SMILES C/C(=CC(=O)O)/CC[C@H]1C(=C)CCC2[C@](C)(CCC[C@]12C)CO

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   320.24 Volume:   355.825
?
Van der Waals volume.
Dense:   0.9 LogP:   3.421
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.833
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.948
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The logarithm of aqueous solubility value.
Rotatable Bonds:   5.0 Rigid Bonds:   14.0
TPSA:   57.53
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Topological Polar Surface Area.
H-Bond Acceptor:   3.0
H-Bond Donor:   2.0 Rings:   2.0
Heavy Atoms:   3.0

MedChem Properties

QED Drug-Likeness Score:   0.576 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.186 Fsp3:   0.75
MCE-18:   42.743
?
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:   0.032 Fluc inhibitor:   0.001
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.003
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.009
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.775 Promiscuous compounds:   0.371

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.73 MDCK Permeability:   -4.837
Pgp-inhibitor:   0.0 Pgp-substrate:   0.0
PAMPA:   0.888
?
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):   0.001
20% Bioavailability (F20%):   0.025 30% Bioavailability (F30%):   0.005
50% Bioavailability (F50%):   0.454

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.009 MRP1:   0.852
Plasma Protein Binding (PPB):   75.942% Volume Distribution (VD):   -0.575
Fu: 21.609%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.996
OATP1B3 inhibitor:   0.978 BCRP inhibitor:   0.004
BSEP inhibitor:   0.263

ADMET: Metabolism

CYP1A2-inhibitor:   0.048 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.995 CYP2C19-substrate:   0.001
CYP2C9-inhibitor:   0.943 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.028 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.158 CYP3A4-substrate:   0.035
CYP2B6-substrate:   0.024 CYP2C8-inhibitor:   0.159
HLM stability:   0.012
?
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):  4.4 Half-life (T1/2):  0.76

ADMET: Toxicity

hERG Blockers:  0.015 hERG Blockers (10um):  0.082
Human Hepatotoxicity (H-HT):  0.793 Drug-induced Liver Injury (DILI):  0.148
AMES Toxicity:  0.068 Rat Oral Acute Toxicity:  0.118
Maximum Recommended Daily Dose:  0.315 Skin Sensitization:  0.802
Carcinogencity:  0.484 Eye Corrosion:  0.064
Eye Irritation:  0.916 Respiratory Toxicity:  0.332
Drug-induced Neurotoxicity:  0.123 Ototoxicity:  0.624
Hematotoxicity:  0.166 Drug-induced Nephrotoxicity:  0.789
Genotoxicity:  0.004 RPMI-8226 Immunitoxicity:  0.02
A549 Cytotoxicity:  0.005 Hek293 Cytotoxicity:  0.089
BCF:   1.494
?
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:   4.194
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.578
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.832
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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
NPO21387 Forsythia suspensa Species Oleaceae Eukaryota n.a. n.a. n.a. PMID[17156960]
NPO21387 Forsythia suspensa Species Oleaceae Eukaryota n.a. n.a. n.a. PMID[26422318]
NPO21387 Forsythia suspensa Species Oleaceae Eukaryota Fruits n.a. n.a. PMID[28218000]
NPO21387 Forsythia suspensa Species Oleaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO21387 Forsythia suspensa Species Oleaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO21387 Forsythia suspensa Species Oleaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO21387 Forsythia suspensa Species Oleaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO21387 Forsythia suspensa Species Oleaceae 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
NPT2740 Cell line Neutrophils n.a. IC50 = 7.4 ug.mL-1 PMID[28218000]
NPT2740 Cell line Neutrophils n.a. IC50 > 10.0 ug.mL-1 PMID[28218000]
NPT2740 Cell line Neutrophils n.a. Inhibition > 50.0 % PMID[28218000]

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 NPC488504 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 NPC194322
1.0 High Similarity NPC488496
0.7609 Intermediate Similarity NPC107258
0.6731 Remote Similarity NPC488500
0.6667 Remote Similarity NPC281880
0.6471 Remote Similarity NPC2524
0.6364 Remote Similarity NPC488497
0.625 Remote Similarity NPC481631
0.62 Remote Similarity NPC481628
0.6154 Remote Similarity NPC133253
0.6122 Remote Similarity NPC143765
0.6038 Remote Similarity NPC159148
0.6 Remote Similarity NPC69649
0.5849 Remote Similarity NPC488498
0.5849 Remote Similarity NPC132542
0.5849 Remote Similarity NPC61952
0.5849 Remote Similarity NPC603184
0.58 Remote Similarity NPC476406
0.5714 Remote Similarity NPC170303
0.5636 Remote Similarity NPC106416
0.5636 Remote Similarity NPC86316
0.5636 Remote Similarity NPC609165
0.549 Remote Similarity NPC149680
0.549 Remote Similarity NPC600344
0.537 Remote Similarity NPC259156
0.5357 Remote Similarity NPC476601

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC488504 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