Natural Product: NPC203662

Natural Product IDNPC203662
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
SMTKSCGLXONVGL-ZEIULZLQSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 131348
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 SMTKSCGLXONVGL-ZEIULZLQSA-N
Standard InCHI InChI=1S/C24H30O14/c1-3-11-12(4-5-35-21(32)10-6-14(26)17(28)15(27)7-10)13(22(33)34-2)9-36-23(11)38-24-20(31)19(30)18(29)16(8-25)37-24/h3,6-7,9,11-12,16,18-20,23-31H,1,4-5,8H2,2H3/t11-,12+,16+,18+,19-,20+,23+,24-/m0/s1
SMILES C=C[C@H]1[C@@H](CCOC(=O)c2cc(c(c(c2)O)O)O)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:   542.16 Volume:   502.599
?
Van der Waals volume.
Dense:   1.079 LogP:   0.622
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.12
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.161
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   11.0 Rigid Bonds:   21.0
TPSA:   221.9
?
Topological Polar Surface Area.
H-Bond Acceptor:   14.0
H-Bond Donor:   7.0 Rings:   3.0
Heavy Atoms:   14.0

MedChem Properties

QED Drug-Likeness Score:   0.113 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.742 Fsp3:   0.5
MCE-18:   82.667
?
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:   0.465 Fluc inhibitor:   0.063
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.064
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.345
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.137 Promiscuous compounds:   0.478

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.209 MDCK Permeability:   -5.383
Pgp-inhibitor:   0.0 Pgp-substrate:   0.004
PAMPA:   0.93
?
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):   0.01
20% Bioavailability (F20%):   0.938 30% Bioavailability (F30%):   0.998
50% Bioavailability (F50%):   0.997

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.001 MRP1:   1.0
Plasma Protein Binding (PPB):   66.879% Volume Distribution (VD):   -0.471
Fu: 30.708%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.984
OATP1B3 inhibitor:   0.999 BCRP inhibitor:   0.358
BSEP inhibitor:   0.004

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.018
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.951
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.074
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.386
?
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):  3.101 Half-life (T1/2):  2.677

ADMET: Toxicity

hERG Blockers:  0.016 hERG Blockers (10um):  0.384
Human Hepatotoxicity (H-HT):  0.115 Drug-induced Liver Injury (DILI):  0.988
AMES Toxicity:  0.823 Rat Oral Acute Toxicity:  0.011
Maximum Recommended Daily Dose:  0.037 Skin Sensitization:  1.0
Carcinogencity:  0.314 Eye Corrosion:  0.0
Eye Irritation:  0.181 Respiratory Toxicity:  0.002
Drug-induced Neurotoxicity:  0.0 Ototoxicity:  0.993
Hematotoxicity:  0.02 Drug-induced Nephrotoxicity:  0.088
Genotoxicity:  0.57 RPMI-8226 Immunitoxicity:  0.02
A549 Cytotoxicity:  0.964 Hek293 Cytotoxicity:  0.342
BCF:   0.57
?
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:   3.331
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.991
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.31
?
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
NPO12588 Cornus officinalis Species Cornaceae Eukaryota Fruits n.a. n.a. PMID[29140705]
NPO12588 Cornus officinalis Species Cornaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO12588 Cornus officinalis Species Cornaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO12588 Cornus officinalis Species Cornaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO12588 Cornus officinalis Species Cornaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO12588 Cornus officinalis Species Cornaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO12588 Cornus officinalis Species Cornaceae 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 NPC203662 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 NPC46641
0.6667 Remote Similarity NPC307699
0.6471 Remote Similarity NPC601841
0.6301 Remote Similarity NPC117596
0.5657 Remote Similarity NPC472131
0.5532 Remote Similarity NPC212808
0.5443 Remote Similarity NPC27687
0.5443 Remote Similarity NPC61201
0.5347 Remote Similarity NPC472130
0.5256 Remote Similarity NPC474730
0.525 Remote Similarity NPC37240
0.519 Remote Similarity NPC35185
0.519 Remote Similarity NPC4899
0.519 Remote Similarity NPC255677
0.519 Remote Similarity NPC177013
0.519 Remote Similarity NPC22149
0.519 Remote Similarity NPC306344
0.5122 Remote Similarity NPC609500
0.5106 Remote Similarity NPC202391
0.5106 Remote Similarity NPC296659
0.5062 Remote Similarity NPC106668
0.506 Remote Similarity NPC488472
0.506 Remote Similarity NPC222062
0.506 Remote Similarity NPC257424
0.5054 Remote Similarity NPC319995
0.5054 Remote Similarity NPC289415
0.5049 Remote Similarity NPC474905

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC203662 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