Natural Product: NPC281798

Natural Product IDNPC281798
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Kodemariosides A
IUPAC Name [(2R,3S,4S,5R,6R)-3,4,5-trihydroxy-6-[(2Z)-2-[(4S,5R)-4-hydroxy-5-(2-methylprop-1-enyl)-2-oxooxolan-3-ylidene]ethoxy]oxan-2-yl]methyl (E)-3-(4-hydroxyphenyl)prop-2-enoate
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL1088521
PubChem CID 46833712
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0000476] Cinnamic acids and derivatives
        • [CHEMONTID:0001391] Hydroxycinnamic acids and derivatives
          • [CHEMONTID:0003002] Hydroxycinnamic acid esters
            • [CHEMONTID:0000465] Coumaric acid esters

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 KRHXGSVJPFGCQY-PBPOHICXSA-N
Standard InCHI InChI=1S/C25H30O11/c1-13(2)11-17-20(28)16(24(32)35-17)9-10-33-25-23(31)22(30)21(29)18(36-25)12-34-19(27)8-5-14-3-6-15(26)7-4-14/h3-9,11,17-18,20-23,25-26,28-31H,10,12H2,1-2H3/b8-5+,16-9-/t17-,18-,20+,21-,22+,23-,25-/m1/s1
SMILES CC(=C[C@@H]1[C@H](/C(=C/CO[C@H]2[C@@H]([C@H]([C@@H]([C@@H](COC(=O)/C=C/c3ccc(cc3)O)O2)O)O)O)/C(=O)O1)O)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   506.18 Volume:   490.888
?
Van der Waals volume.
Dense:   1.031 LogP:   2.385
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.656
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.626
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   9.0 Rigid Bonds:   22.0
TPSA:   172.21
?
Topological Polar Surface Area.
H-Bond Acceptor:   11.0
H-Bond Donor:   5.0 Rings:   3.0
Heavy Atoms:   11.0

MedChem Properties

QED Drug-Likeness Score:   0.182 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.654 Fsp3:   0.44
MCE-18:   74.556
?
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:   0 PAINS Alert:   0
Colloidal aggregators:   0.745 Fluc inhibitor:   0.665
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.229
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.309
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.154 Promiscuous compounds:   0.264

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.788 MDCK Permeability:   -4.992
Pgp-inhibitor:   0.794 Pgp-substrate:   0.03
PAMPA:   0.938
?
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):   0.552
20% Bioavailability (F20%):   0.954 30% Bioavailability (F30%):   0.999
50% Bioavailability (F50%):   0.999

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.004 MRP1:   0.012
Plasma Protein Binding (PPB):   83.084% Volume Distribution (VD):   -0.347
Fu: 15.259%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.002
BSEP inhibitor:   0.961

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.026
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.063
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.997
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.555
?
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):  3.475 Half-life (T1/2):  2.233

ADMET: Toxicity

hERG Blockers:  0.051 hERG Blockers (10um):  0.264
Human Hepatotoxicity (H-HT):  0.709 Drug-induced Liver Injury (DILI):  0.654
AMES Toxicity:  0.901 Rat Oral Acute Toxicity:  0.027
Maximum Recommended Daily Dose:  0.195 Skin Sensitization:  1.0
Carcinogencity:  0.138 Eye Corrosion:  0.0
Eye Irritation:  0.075 Respiratory Toxicity:  0.003
Drug-induced Neurotoxicity:  0.053 Ototoxicity:  0.882
Hematotoxicity:  0.164 Drug-induced Nephrotoxicity:  0.852
Genotoxicity:  0.592 RPMI-8226 Immunitoxicity:  0.17
A549 Cytotoxicity:  0.624 Hek293 Cytotoxicity:  0.426
BCF:   0.761
?
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:   3.464
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.148
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.527
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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
NPO8538 Spiraea cantoniensis Species Rosaceae Eukaryota n.a. n.a. n.a. PMID[20329740]
NPO8538 Spiraea cantoniensis Species Rosaceae 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
NPT671 Individual protein Acidic alpha-glucosidase Rattus norvegicus Inhibition = 15.0 % PMID[25927586]

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 NPC281798 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
0.8873 High Similarity NPC220942
0.6622 Remote Similarity NPC288416
0.6282 Remote Similarity NPC34293
0.6184 Remote Similarity NPC479473
0.6184 Remote Similarity NPC275721
0.6184 Remote Similarity NPC479468
0.6184 Remote Similarity NPC479474
0.5926 Remote Similarity NPC252114
0.5696 Remote Similarity NPC229784
0.5641 Remote Similarity NPC470572
0.5625 Remote Similarity NPC287597
0.5581 Remote Similarity NPC235294
0.5556 Remote Similarity NPC291153
0.5455 Remote Similarity NPC471881
0.5385 Remote Similarity NPC184633
0.5325 Remote Similarity NPC52097
0.5233 Remote Similarity NPC225307
0.5227 Remote Similarity NPC138777
0.52 Remote Similarity NPC476872
0.5172 Remote Similarity NPC10205
0.5169 Remote Similarity NPC476869
0.5169 Remote Similarity NPC476866
0.5161 Remote Similarity NPC300262
0.5114 Remote Similarity NPC28637
0.5056 Remote Similarity NPC246869
0.5056 Remote Similarity NPC225384
0.5053 Remote Similarity NPC125823
0.5053 Remote Similarity NPC7145
0.5053 Remote Similarity NPC143480
0.5052 Remote Similarity NPC201148

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC281798 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