Natural Product: NPC300262

Natural Product IDNPC300262
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Lapathoside C
IUPAC Name [(2R,3R,4S,5S)-3-hydroxy-5-(hydroxymethyl)-4-[(E)-3-(4-hydroxyphenyl)prop-2-enoyl]oxy-5-[(2R,3R,4S,5S,6R)-3,4,5-trihydroxy-6-[[(E)-3-(4-hydroxy-3-methoxyphenyl)prop-2-enoyl]oxymethyl]oxan-2-yl]oxyoxolan-2-yl]methyl (E)-3-(4-hydroxyphenyl)prop-2-enoate
Synonyms Lapathoside C
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL510277
PubChem CID 11061786
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 WYNKDHNSWBVRAM-QVHYGTEESA-N
Standard InCHI InChI=1S/C40H42O18/c1-52-28-18-24(6-14-27(28)44)9-16-32(46)53-19-29-34(48)36(50)37(51)39(55-29)58-40(21-41)38(56-33(47)17-8-23-4-12-26(43)13-5-23)35(49)30(57-40)20-54-31(45)15-7-22-2-10-25(42)11-3-22/h2-18,29-30,34-39,41-44,48-51H,19-21H2,1H3/b15-7+,16-9+,17-8+/t29-,30-,34-,35-,36+,37-,38+,39-,40+/m1/s1
SMILES COc1cc(/C=C/C(=O)OC[C@H]2O[C@H](O[C@]3(CO)O[C@@H]([C@H]([C@@H]3OC(=O)/C=C/c3ccc(cc3)O)O)COC(=O)/C=C/c3ccc(cc3)O)[C@@H]([C@H]([C@@H]2O)O)O)ccc1O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   810.24 Volume:   776.291
?
Van der Waals volume.
Dense:   1.044 LogP:   1.911
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.025
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.613
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The logarithm of aqueous solubility value.
Rotatable Bonds:   18.0 Rigid Bonds:   35.0
TPSA:   277.66
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Topological Polar Surface Area.
H-Bond Acceptor:   18.0
H-Bond Donor:   8.0 Rings:   5.0
Heavy Atoms:   18.0

MedChem Properties

QED Drug-Likeness Score:   0.059 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.108 Fsp3:   0.325
MCE-18:   120.226
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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:   0
Colloidal aggregators:   0.893 Fluc inhibitor:   0.999
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.175
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.665
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.246 Promiscuous compounds:   0.285

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.323 MDCK Permeability:   -5.387
Pgp-inhibitor:   0.005 Pgp-substrate:   0.008
PAMPA:   0.996
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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):   0.582
20% Bioavailability (F20%):   1.0 30% Bioavailability (F30%):   1.0
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.0
Plasma Protein Binding (PPB):   86.831% Volume Distribution (VD):   -0.212
Fu: 10.99%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.001
BSEP inhibitor:   0.941

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.236
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.874
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.08
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.778
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.082
?
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):  1.985 Half-life (T1/2):  2.757

ADMET: Toxicity

hERG Blockers:  0.062 hERG Blockers (10um):  0.307
Human Hepatotoxicity (H-HT):  0.529 Drug-induced Liver Injury (DILI):  0.871
AMES Toxicity:  0.971 Rat Oral Acute Toxicity:  0.014
Maximum Recommended Daily Dose:  0.635 Skin Sensitization:  1.0
Carcinogencity:  0.165 Eye Corrosion:  0.0
Eye Irritation:  0.069 Respiratory Toxicity:  0.005
Drug-induced Neurotoxicity:  0.186 Ototoxicity:  0.792
Hematotoxicity:  0.051 Drug-induced Nephrotoxicity:  0.943
Genotoxicity:  0.861 RPMI-8226 Immunitoxicity:  0.359
A549 Cytotoxicity:  0.862 Hek293 Cytotoxicity:  0.974
BCF:   0.512
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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:   3.439
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.844
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.384
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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
NPO7193 Persicaria lapathifolia Species Polygonaceae Eukaryota n.a. n.a. n.a. PMID[11678656]
NPO7193 Persicaria lapathifolia Species Polygonaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO7193 Persicaria lapathifolia Species Polygonaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO7193 Persicaria lapathifolia Species Polygonaceae 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
NPT80 Cell line Raji Homo sapiens Activity = 70.0 % PMID[11678656]
NPT80 Cell line Raji Homo sapiens Activity > 80.0 % PMID[11678656]
NPT165 Cell line HeLa Homo sapiens IC50 = 12610.0 nM PMID[23153813]
NPT2 Others Unspecified n.a. Activity = 33.6 % PMID[11678656]
NPT2 Others Unspecified n.a. Activity = 59.0 % PMID[11678656]
NPT2 Others Unspecified n.a. Activity = 83.5 % PMID[11678656]
NPT2 Others Unspecified n.a. Activity = 100.0 % PMID[11678656]

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 NPC300262 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
0.8608 High Similarity NPC262182
0.85 High Similarity NPC83743
0.8313 Intermediate Similarity NPC125823
0.8313 Intermediate Similarity NPC7145
0.8313 Intermediate Similarity NPC143480
0.8101 Intermediate Similarity NPC472612
0.8023 Intermediate Similarity NPC201148
0.7931 Intermediate Similarity NPC261122
0.7738 Intermediate Similarity NPC80732
0.7722 Intermediate Similarity NPC225307
0.7586 Intermediate Similarity NPC3460
0.7471 Intermediate Similarity NPC287615
0.7471 Intermediate Similarity NPC199311
0.7262 Intermediate Similarity NPC90896
0.7143 Intermediate Similarity NPC226005
0.7111 Intermediate Similarity NPC472611
0.7111 Intermediate Similarity NPC210611
0.6932 Remote Similarity NPC216819
0.6854 Remote Similarity NPC283839
0.6667 Remote Similarity NPC192763
0.663 Remote Similarity NPC85192
0.6559 Remote Similarity NPC215095
0.6364 Remote Similarity NPC476869
0.6333 Remote Similarity NPC289967
0.6322 Remote Similarity NPC28637
0.6186 Remote Similarity NPC28651
0.617 Remote Similarity NPC173343
0.6071 Remote Similarity NPC601579
0.5978 Remote Similarity NPC476865
0.593 Remote Similarity NPC297342
0.5778 Remote Similarity NPC471405
0.5761 Remote Similarity NPC476868
0.5682 Remote Similarity NPC219677
0.5667 Remote Similarity NPC291296
0.5667 Remote Similarity NPC10205
0.5652 Remote Similarity NPC476866
0.5625 Remote Similarity NPC11411
0.5607 Remote Similarity NPC484988
0.5591 Remote Similarity NPC471881
0.5529 Remote Similarity NPC479473
0.5529 Remote Similarity NPC275721
0.5529 Remote Similarity NPC288416
0.5529 Remote Similarity NPC479468
0.5529 Remote Similarity NPC479474
0.5517 Remote Similarity NPC291153
0.5488 Remote Similarity NPC157554
0.5455 Remote Similarity NPC34293
0.54 Remote Similarity NPC600370
0.5333 Remote Similarity NPC479771
0.5333 Remote Similarity NPC252114
0.5263 Remote Similarity NPC488082
0.5258 Remote Similarity NPC479767
0.5253 Remote Similarity NPC133984
0.5233 Remote Similarity NPC470572
0.5213 Remote Similarity NPC157816
0.5204 Remote Similarity NPC488081
0.5161 Remote Similarity NPC156692
0.5161 Remote Similarity NPC281798
0.514 Remote Similarity NPC470416
0.5114 Remote Similarity NPC229784
0.5109 Remote Similarity NPC252833
0.5106 Remote Similarity NPC476867
0.5104 Remote Similarity NPC21516
0.5093 Remote Similarity NPC480796
0.5093 Remote Similarity NPC472993
0.5086 Remote Similarity NPC25946
0.5053 Remote Similarity NPC204937
0.5053 Remote Similarity NPC476864
0.5052 Remote Similarity NPC186073

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC300262 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