Natural Product: NPC65262

Natural Product IDNPC65262
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Specnuezhenide
IUPAC Name methyl (4S,5Z,6S)-5-ethylidene-4-[2-oxo-2-[[(2R,3S,4S,5R,6R)-3,4,5-trihydroxy-6-[2-(4-hydroxyphenyl)ethoxy]oxan-2-yl]methoxy]ethyl]-6-[(2S,3R,4S,5S,6R)-3,4,5-trihydroxy-6-(hydroxymethyl)oxan-2-yl]oxy-4H-pyran-3-carboxylate
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL3289607
PubChem CID 11146840
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0003918] Saccharolipids

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 STKUCSFEBXPTAY-GSUVRYNNSA-N
Standard InCHI InChI=1S/C31H42O17/c1-3-16-17(18(28(41)42-2)12-45-29(16)48-31-27(40)24(37)22(35)19(11-32)46-31)10-21(34)44-13-20-23(36)25(38)26(39)30(47-20)43-9-8-14-4-6-15(33)7-5-14/h3-7,12,17,19-20,22-27,29-33,35-40H,8-11,13H2,1-2H3/b16-3-/t17-,19+,20+,22+,23+,24-,25-,26+,27+,29-,30+,31-/m0/s1
SMILES OC[C@H]1O[C@@H](O[C@@H]2OC=C([C@H](/C/2=C/C)CC(=O)OC[C@H]2O[C@@H](OCCc3ccc(cc3)O)[C@@H]([C@H]([C@@H]2O)O)O)C(=O)OC)[C@@H]([C@H]([C@@H]1O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   686.24 Volume:   641.485
?
Van der Waals volume.
Dense:   1.07 LogP:   -0.123
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   0.636
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -1.749
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   14.0 Rigid Bonds:   27.0
TPSA:   260.59
?
Topological Polar Surface Area.
H-Bond Acceptor:   17.0
H-Bond Donor:   8.0 Rings:   4.0
Heavy Atoms:   17.0

MedChem Properties

QED Drug-Likeness Score:   0.083 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.235 Fsp3:   0.613
MCE-18:   104.4
?
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:   1
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.413 Fluc inhibitor:   0.007
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.062
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.308
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.079 Promiscuous compounds:   0.158

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.072 MDCK Permeability:   -5.233
Pgp-inhibitor:   0.0 Pgp-substrate:   0.936
PAMPA:   0.998
?
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):   0.894
20% Bioavailability (F20%):   0.543 30% Bioavailability (F30%):   0.994
50% Bioavailability (F50%):   0.998

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.002 MRP1:   0.102
Plasma Protein Binding (PPB):   74.954% Volume Distribution (VD):   -0.286
Fu: 24.39%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.999
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.144
BSEP inhibitor:   0.009

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.003
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.336
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.995
HLM stability:   0.071
?
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):  1.233 Half-life (T1/2):  2.605

ADMET: Toxicity

hERG Blockers:  0.011 hERG Blockers (10um):  0.145
Human Hepatotoxicity (H-HT):  0.872 Drug-induced Liver Injury (DILI):  0.988
AMES Toxicity:  0.979 Rat Oral Acute Toxicity:  0.031
Maximum Recommended Daily Dose:  0.072 Skin Sensitization:  1.0
Carcinogencity:  0.212 Eye Corrosion:  0.0
Eye Irritation:  0.001 Respiratory Toxicity:  0.0
Drug-induced Neurotoxicity:  0.031 Ototoxicity:  0.994
Hematotoxicity:  0.259 Drug-induced Nephrotoxicity:  0.992
Genotoxicity:  0.987 RPMI-8226 Immunitoxicity:  0.25
A549 Cytotoxicity:  0.577 Hek293 Cytotoxicity:  0.451
BCF:   0.409
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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:   3.065
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.827
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.806
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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
NPO16259.1 Syringa reticulata subsp. amurensis Subspecies Oleaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO16259.1 Syringa reticulata subsp. amurensis Subspecies 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
NPT2956 Individual protein Interleukin-2 Homo sapiens Kd = 2.59 nM PMID[24974349]

In vitro activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference
NPT65 Cell line HepG2 Homo sapiens IC50 > 100000.0 nM PMID[24974349]
NPT2 Others Unspecified n.a. Kd = 2.4 nM PMID[24974349]

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 NPC65262 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 NPC84429
1.0 High Similarity NPC101686
0.9136 High Similarity NPC469364
0.9136 High Similarity NPC609284
0.8916 High Similarity NPC198577
0.8864 High Similarity NPC488387
0.8764 High Similarity NPC488386
0.8659 High Similarity NPC488383
0.8608 High Similarity NPC169398
0.8452 Intermediate Similarity NPC23677
0.7619 Intermediate Similarity NPC296643
0.7619 Intermediate Similarity NPC299576
0.7191 Intermediate Similarity NPC488388
0.6914 Remote Similarity NPC469543
0.6889 Remote Similarity NPC488384
0.6742 Remote Similarity NPC600692
0.6275 Remote Similarity NPC488389
0.6203 Remote Similarity NPC303451
0.6203 Remote Similarity NPC72358
0.604 Remote Similarity NPC488385
0.6 Remote Similarity NPC246893
0.5405 Remote Similarity NPC488390
0.5385 Remote Similarity NPC157338
0.5341 Remote Similarity NPC288416
0.5146 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 NPC65262 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