Natural Product: NPC149366

Natural Product IDNPC149366
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
RDLNVCALMXCDOJ-QUVQPCEGSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 10793430
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0002049] Terpene glycosides

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 RDLNVCALMXCDOJ-QUVQPCEGSA-N
Standard InCHI InChI=1S/C27H36O14/c1-4-14-15(9-21(31)38-12-20(37-5-2)13-6-7-17(29)18(30)8-13)16(25(35)36-3)11-39-26(14)41-27-24(34)23(33)22(32)19(10-28)40-27/h4,6-8,11,15,19-20,22-24,26-30,32-34H,5,9-10,12H2,1-3H3/b14-4+/t15-,19+,20?,22+,23-,24+,26-,27-/m0/s1
SMILES C/C=C/1[C@H](CC(=O)OCC(c2ccc(c(c2)O)O)OCC)C(=CO[C@H]1O[C@H]1[C@@H]([C@H]([C@@H]([C@@H](CO)O1)O)O)O)C(=O)OC

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   584.21 Volume:   554.487
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Van der Waals volume.
Dense:   1.054 LogP:   0.761
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.203
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.057
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The logarithm of aqueous solubility value.
Rotatable Bonds:   13.0 Rigid Bonds:   21.0
TPSA:   210.9
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Topological Polar Surface Area.
H-Bond Acceptor:   14.0
H-Bond Donor:   6.0 Rings:   3.0
Heavy Atoms:   14.0

MedChem Properties

QED Drug-Likeness Score:   0.114 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.948 Fsp3:   0.556
MCE-18:   80.0
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MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Accepted
Pfizer Rule:   Rejected GSK Rule:   Accepted
Golden Triangle Rule:   Accepted BMS Rule:   0
Chelating Alert:   1 PAINS Alert:   1
Colloidal aggregators:   0.509 Fluc inhibitor:   0.005
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.089
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.479
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.093 Promiscuous compounds:   0.079

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.934 MDCK Permeability:   -5.213
Pgp-inhibitor:   0.0 Pgp-substrate:   0.111
PAMPA:   0.967
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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):   0.154
20% Bioavailability (F20%):   0.714 30% Bioavailability (F30%):   0.996
50% Bioavailability (F50%):   0.995

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.001 MRP1:   0.896
Plasma Protein Binding (PPB):   71.95% Volume Distribution (VD):   -0.389
Fu: 25.945%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.996
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.067
BSEP inhibitor:   0.001

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.001
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.743
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.018
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.706
HLM stability:   0.42
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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):  2.732 Half-life (T1/2):  2.161

ADMET: Toxicity

hERG Blockers:  0.012 hERG Blockers (10um):  0.207
Human Hepatotoxicity (H-HT):  0.751 Drug-induced Liver Injury (DILI):  0.982
AMES Toxicity:  0.932 Rat Oral Acute Toxicity:  0.277
Maximum Recommended Daily Dose:  0.25 Skin Sensitization:  1.0
Carcinogencity:  0.383 Eye Corrosion:  0.0
Eye Irritation:  0.002 Respiratory Toxicity:  0.003
Drug-induced Neurotoxicity:  0.103 Ototoxicity:  0.983
Hematotoxicity:  0.301 Drug-induced Nephrotoxicity:  0.736
Genotoxicity:  0.995 RPMI-8226 Immunitoxicity:  0.072
A549 Cytotoxicity:  0.842 Hek293 Cytotoxicity:  0.431
BCF:   0.53
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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:   3.239
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.118
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.215
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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
NPO18340 Ligustrum lucidum Species Oleaceae Eukaryota n.a. fruit n.a. PMID[11411539]
NPO18340 Ligustrum lucidum Species Oleaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO18340 Ligustrum lucidum Species Oleaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO18340 Ligustrum lucidum Species Oleaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO18340 Ligustrum lucidum Species Oleaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO18340 Ligustrum lucidum Species Oleaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO18340 Ligustrum lucidum 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

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 NPC149366 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
0.7349 Intermediate Similarity NPC296643
0.7349 Intermediate Similarity NPC299576
0.6824 Remote Similarity NPC169398
0.6778 Remote Similarity NPC23677
0.663 Remote Similarity NPC198577
0.6533 Remote Similarity NPC303451
0.6533 Remote Similarity NPC72358
0.6237 Remote Similarity NPC469364
0.6237 Remote Similarity NPC609284
0.617 Remote Similarity NPC65262
0.617 Remote Similarity NPC84429
0.617 Remote Similarity NPC101686
0.6111 Remote Similarity NPC600692
0.6024 Remote Similarity NPC469543
0.6022 Remote Similarity NPC488388
0.5914 Remote Similarity NPC488384
0.5882 Remote Similarity NPC488389
0.5851 Remote Similarity NPC488383
0.5577 Remote Similarity NPC488387
0.5524 Remote Similarity NPC488386
0.549 Remote Similarity NPC488385
0.5446 Remote Similarity NPC246893
0.52 Remote Similarity NPC469367

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC149366 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