Natural Product: NPC490208

Natural Product IDNPC490208
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Glycolipids
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:0000257] Sphingolipids
        • [CHEMONTID:0003392] Phosphosphingolipids

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 LRYZPFWEZHSTHD-HEFFAWAOSA-O
Standard InCHI InChI=1S/C24H49N2O6P/c1-5-6-7-8-9-10-11-12-13-14-15-16-17-18-24(28)23(25-22-27)21-32-33(29,30)31-20-19-26(2,3)4/h17-18,22-24,28H,5-16,19-21H2,1-4H3,(H-,25,27,29,30)/p+1/b18-17+/t23-,24+/m0/s1
SMILES CCCCCCCCCCCCCC=C[C@@H](O)[C@H](COP(=O)(O)OCC[N+](C)(C)C)NC=O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   493.34 Volume:   514.268
?
Van der Waals volume.
Dense:   0.959 LogP:   2.819
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.326
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.873
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   23.0 Rigid Bonds:   3.0
TPSA:   105.09
?
Topological Polar Surface Area.
H-Bond Acceptor:   8.0
H-Bond Donor:   3.0 Rings:   0.0
Heavy Atoms:   9.0

MedChem Properties

QED Drug-Likeness Score:   0.063 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.018 Fsp3:   0.875
MCE-18:   8.0
?
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:   1
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.604 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.008
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.0
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.06 Promiscuous compounds:   0.126

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.402 MDCK Permeability:   -4.798
Pgp-inhibitor:   0.001 Pgp-substrate:   0.022
PAMPA:   0.001
?
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):   0.976
20% Bioavailability (F20%):   0.995 30% Bioavailability (F30%):   1.0
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.002
Plasma Protein Binding (PPB):   97.177% Volume Distribution (VD):   0.226
Fu: 3.461%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.991
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.397
BSEP inhibitor:   0.97

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.211
CYP2C19-inhibitor:   0.665 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.002 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   1.0 CYP2D6-substrate:   0.001
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.928
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.003
HLM stability:   0.0
?
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):  3.836 Half-life (T1/2):  1.115

ADMET: Toxicity

hERG Blockers:  0.051 hERG Blockers (10um):  0.162
Human Hepatotoxicity (H-HT):  0.135 Drug-induced Liver Injury (DILI):  0.016
AMES Toxicity:  0.004 Rat Oral Acute Toxicity:  0.044
Maximum Recommended Daily Dose:  0.996 Skin Sensitization:  0.998
Carcinogencity:  0.629 Eye Corrosion:  0.851
Eye Irritation:  0.988 Respiratory Toxicity:  0.998
Drug-induced Neurotoxicity:  0.393 Ototoxicity:  0.078
Hematotoxicity:  0.01 Drug-induced Nephrotoxicity:  0.983
Genotoxicity:  0.501 RPMI-8226 Immunitoxicity:  0.107
A549 Cytotoxicity:  0.01 Hek293 Cytotoxicity:  0.435
BCF:   0.822
?
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:   4.531
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.031
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.212
?
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
NPO29007 Brassica juncea Species Brassicaceae Eukaryota n.a. n.a. n.a. DOI[10.1155/2014/726070]
NPO441 Cucurbita maxima Species Cucurbitaceae Eukaryota Seeds Cornell Univeristy, Ithaca PMID[17439238]
NPO441 Cucurbita maxima Species Cucurbitaceae Eukaryota Seeds Petone, New Zealand PMID[17439238]
NPO441 Cucurbita maxima Species Cucurbitaceae Eukaryota Seeds Randolph, WI PMID[17439238]
NPO441 Cucurbita maxima Species Cucurbitaceae Eukaryota Seeds Shenandoah, IA PMID[17439238]
NPO441 Cucurbita maxima Species Cucurbitaceae Eukaryota Seeds n.a. PMID[17439238]
NPO441 Cucurbita maxima Species Cucurbitaceae Eukaryota Seeds Warminster, PA PMID[17439238]
NPO441 Cucurbita maxima Species Cucurbitaceae Eukaryota Seeds Onehunga, New Zealand, PMID[17439238]
NPO441 Cucurbita maxima Species Cucurbitaceae Eukaryota Seeds Cornell University, Geneva, NY PMID[17439238]
NPO441 Cucurbita maxima Species Cucurbitaceae Eukaryota Seeds Winslow, ME PMID[17439238]
NPO20837 Ipomoea aquatica Species Convolvulaceae Eukaryota Whole Plant Dongshan, Nanjing, Jiangsu Province, China 2012-NOV PMID[25314138]
NPO29007 Brassica juncea Species Brassicaceae Eukaryota n.a. n.a. n.a. PMID[25700090]
NPO441 Cucurbita maxima Species Cucurbitaceae Eukaryota Fruits Wolkowo, Poland 2016-Oct PMID[31487816]
NPO20837 Ipomoea aquatica Species Convolvulaceae Eukaryota n.a. n.a. n.a. PMID[38192648]
NPO42011 Sechium edule Species Cucurbitaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO29007 Brassica juncea Species Brassicaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO441 Cucurbita maxima Species Cucurbitaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO20837 Ipomoea aquatica Species Convolvulaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO42011 Sechium edule Species Cucurbitaceae Eukaryota Shoot n.a. n.a. Database[FooDB]
NPO42011 Sechium edule Species Cucurbitaceae Eukaryota n.a. n.a. Database[FooDB]
NPO20837 Ipomoea aquatica Species Convolvulaceae Eukaryota n.a. n.a. Database[FooDB]
NPO29007 Brassica juncea Species Brassicaceae Eukaryota n.a. n.a. Database[FooDB]
NPO441 Cucurbita maxima Species Cucurbitaceae Eukaryota Seed n.a. n.a. Database[FooDB]
NPO29007 Brassica juncea Species Brassicaceae Eukaryota Seed n.a. n.a. Database[FooDB]
NPO441 Cucurbita maxima Species Cucurbitaceae Eukaryota Plant n.a. n.a. Database[FooDB]
NPO20837 Ipomoea aquatica Species Convolvulaceae Eukaryota Plant n.a. n.a. Database[FooDB]
NPO29007 Brassica juncea Species Brassicaceae Eukaryota Plant n.a. n.a. Database[FooDB]
NPO20837 Ipomoea aquatica Species Convolvulaceae Eukaryota Leaf n.a. n.a. Database[FooDB]
NPO42011 Sechium edule Species Cucurbitaceae Eukaryota Leaf n.a. n.a. Database[FooDB]
NPO42011 Sechium edule Species Cucurbitaceae Eukaryota Fruit n.a. n.a. Database[FooDB]
NPO42011 Sechium edule Species Cucurbitaceae Eukaryota n.a. n.a. Database[FooDB]
NPO441 Cucurbita maxima Species Cucurbitaceae Eukaryota n.a. n.a. Database[FooDB]
NPO20837 Ipomoea aquatica Species Convolvulaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO29007 Brassica juncea Species Brassicaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO29007 Brassica juncea Species Brassicaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO20837 Ipomoea aquatica Species Convolvulaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO29007 Brassica juncea Species Brassicaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO29007 Brassica juncea Species Brassicaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO29007 Brassica juncea Species Brassicaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO441 Cucurbita maxima Species Cucurbitaceae 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
NPO20837 Ipomoea aquatica Raw Plant 3362.8 792.1 5933.5 mg/100g Database [DUKE]
NPO29007 Brassica juncea Other Plant 1914 322.5 3505.5 mg/100g Database [DUKE]
NPO42011 Sechium edule Other (raw) Leaf 2375.5 714.5 4036.5 mg/100g Database [DUKE]
NPO441 Cucurbita maxima Raw Plant 1966.25 427 3505.5 mg/100g Database [DUKE]

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 NPC490208 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
NPC

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC490208 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
0.5789 Remote Similarity NPD6949 Clinical (unspecified phase)

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