Natural Product: NPC555744

Natural Product IDNPC555744
Common Name
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The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
2-(3,4-dihydroxyphenyl)-5,6-dihydroxy-7-[(2~{R},3~{S},4~{S},5~{S})-3,4,5-trihydroxytetrahydropyran-2-yl]oxy-chromen-4-one
IUPAC Name 2-(3,4-dihydroxyphenyl)-5,6-dihydroxy-7-[(2~{R},3~{S},4~{S},5~{S})-3,4,5-trihydroxytetrahydropyran-2-yl]oxy-chromen-4-one
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID n.a.
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]

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 MWTIXVAPAPFDDA-XABUNACWSA-N
Standard InCHI InChI=1S/C20H18O11/c21-8-2-1-7(3-9(8)22)12-4-10(23)15-13(30-12)5-14(17(26)18(15)27)31-20-19(28)16(25)11(24)6-29-20/h1-5,11,16,19-22,24-28H,6H2/t11-,16-,19-,20+/m0/s1
SMILES O=C1C=C(C2=CC=C(O)C(O)=C2)OC2=CC(O[C@H]3OC[C@H](O)[C@H](O)[C@@H]3O)=C(O)C(O)=C12

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   434.08 Volume:   395.851
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Van der Waals volume.
Dense:   1.097 LogP:   0.875
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.052
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.215
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The logarithm of aqueous solubility value.
Rotatable Bonds:   3.0 Rigid Bonds:   24.0
TPSA:   190.28
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Topological Polar Surface Area.
H-Bond Acceptor:   11.0
H-Bond Donor:   7.0 Rings:   4.0
Heavy Atoms:   11.0

MedChem Properties

QED Drug-Likeness Score:   0.277 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   3.971 Fsp3:   0.25
MCE-18:   88.4
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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:   Rejected BMS Rule:   0
Chelating Alert:   1 PAINS Alert:   1
Colloidal aggregators:   0.631 Fluc inhibitor:   0.326
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.976
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.83
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.115 Promiscuous compounds:   0.882

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.247 MDCK Permeability:   -4.934
Pgp-inhibitor:   0.0 Pgp-substrate:   0.553
PAMPA:   0.999
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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):   0.417
20% Bioavailability (F20%):   0.995 30% Bioavailability (F30%):   0.999
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.814
Plasma Protein Binding (PPB):   81.189% Volume Distribution (VD):   -0.013
Fu: 17.06%
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The fraction unbound in plasms.
OATP1B1 inhibitor:   0.971
OATP1B3 inhibitor:   0.986 BCRP inhibitor:   0.971
BSEP inhibitor:   0.003

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.015 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.093
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.783
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.692
HLM stability:   0.103
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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):  3.048 Half-life (T1/2):  3.524

ADMET: Toxicity

hERG Blockers:  0.017 hERG Blockers (10um):  0.305
Human Hepatotoxicity (H-HT):  0.604 Drug-induced Liver Injury (DILI):  0.962
AMES Toxicity:  0.879 Rat Oral Acute Toxicity:  0.292
Maximum Recommended Daily Dose:  0.232 Skin Sensitization:  0.999
Carcinogencity:  0.215 Eye Corrosion:  0.009
Eye Irritation:  0.987 Respiratory Toxicity:  0.325
Drug-induced Neurotoxicity:  0.016 Ototoxicity:  0.547
Hematotoxicity:  0.217 Drug-induced Nephrotoxicity:  0.282
Genotoxicity:  0.983 RPMI-8226 Immunitoxicity:  0.095
A549 Cytotoxicity:  0.976 Hek293 Cytotoxicity:  0.46
BCF:   0.727
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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:   3.306
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.743
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.235
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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
NPO30681 Lippia nodiflora Species Verbenaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO30681 Lippia nodiflora Species Verbenaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO30681 Lippia nodiflora Species Verbenaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]

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 NPC555744 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
0.7534 Intermediate Similarity NPC58716
0.6769 Remote Similarity NPC162313
0.6494 Remote Similarity NPC146792
0.6429 Remote Similarity NPC3583
0.6375 Remote Similarity NPC43211
0.6154 Remote Similarity NPC45618
0.6049 Remote Similarity NPC237435
0.5802 Remote Similarity NPC245014
0.5783 Remote Similarity NPC115760
0.575 Remote Similarity NPC19709
0.5679 Remote Similarity NPC189142
0.5679 Remote Similarity NPC77660
0.5652 Remote Similarity NPC198826
0.5647 Remote Similarity NPC190003
0.561 Remote Similarity NPC45638
0.557 Remote Similarity NPC276222
0.557 Remote Similarity NPC274618
0.557 Remote Similarity NPC118284
0.557 Remote Similarity NPC608147
0.5542 Remote Similarity NPC201292
0.5517 Remote Similarity NPC254540
0.5493 Remote Similarity NPC212678
0.5476 Remote Similarity NPC20505
0.5333 Remote Similarity NPC210073
0.5326 Remote Similarity NPC65711
0.5286 Remote Similarity NPC275722
0.5211 Remote Similarity NPC57030
0.5139 Remote Similarity NPC108406
0.5139 Remote Similarity NPC25270
0.5119 Remote Similarity NPC168822
0.5106 Remote Similarity NPC229409
0.5062 Remote Similarity NPC54802
0.5062 Remote Similarity NPC197304
0.5059 Remote Similarity NPC84265
0.5056 Remote Similarity NPC477848

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC555744 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
0.6049 Remote Similarity NPD4338 Clinical (unspecified phase)

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