Natural Product: NPC578001

Natural Product IDNPC578001
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
(2~{R},3~{S},4~{R},5~{S},6~{S})-3,4,5-trihydroxy-6-[5-hydroxy-4-oxo-2-[4-[(2~{S},3~{S},4~{R},5~{R},6~{S})-3,4,5-trihydroxy-6-methyl-tetrahydropyran-2-yl]oxyphenyl]chromen-7-yl]oxy-tetrahydropyran-2-carboxylic acid
IUPAC Name (2~{R},3~{S},4~{R},5~{S},6~{S})-3,4,5-trihydroxy-6-[5-hydroxy-4-oxo-2-[4-[(2~{S},3~{S},4~{R},5~{R},6~{S})-3,4,5-trihydroxy-6-methyl-tetrahydropyran-2-yl]oxyphenyl]chromen-7-yl]oxy-tetrahydropyran-2-carboxylic acid
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID n.a.
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0000334] Flavonoids
        • [CHEMONTID:0001111] Flavonoid glycosides
          • [CHEMONTID:0001583] Flavonoid O-glycosides
            • [CHEMONTID:0002934] Flavonoid O-glucuronides
              • [CHEMONTID:0003534] Flavonoid-7-O-glucuronides

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 IYSVAHHNEAGSMC-IZAIXGGKSA-N
Standard InCHI InChI=1S/C27H28O15/c1-9-18(30)19(31)22(34)26(38-9)39-11-4-2-10(3-5-11)15-8-14(29)17-13(28)6-12(7-16(17)41-15)40-27-23(35)20(32)21(33)24(42-27)25(36)37/h2-9,18-24,26-28,30-35H,1H3,(H,36,37)/t9-,18-,19+,20+,21-,22-,23-,24+,26-,27+/m0/s1
SMILES C[C@@H]1O[C@@H](OC2=CC=C(C3=CC(=O)C4=C(O)C=C(O[C@@H]5O[C@@H](C(=O)O)[C@@H](O)[C@@H](O)[C@@H]5O)C=C4O3)C=C2)[C@@H](O)[C@H](O)[C@H]1O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   592.14 Volume:   540.891
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Van der Waals volume.
Dense:   1.095 LogP:   1.105
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.596
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.482
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The logarithm of aqueous solubility value.
Rotatable Bonds:   6.0 Rigid Bonds:   31.0
TPSA:   246.04
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Topological Polar Surface Area.
H-Bond Acceptor:   15.0
H-Bond Donor:   8.0 Rings:   5.0
Heavy Atoms:   15.0

MedChem Properties

QED Drug-Likeness Score:   0.165 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.628 Fsp3:   0.407
MCE-18:   119.895
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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:   1
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.513 Fluc inhibitor:   0.436
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.938
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.925
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.253 Promiscuous compounds:   0.402

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.359 MDCK Permeability:   -5.151
Pgp-inhibitor:   0.0 Pgp-substrate:   0.917
PAMPA:   1.0
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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):   0.632
20% Bioavailability (F20%):   0.148 30% Bioavailability (F30%):   0.638
50% Bioavailability (F50%):   0.986

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.823
Plasma Protein Binding (PPB):   81.769% Volume Distribution (VD):   -0.11
Fu: 14.141%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.065
OATP1B3 inhibitor:   0.726 BCRP inhibitor:   0.007
BSEP inhibitor:   0.002

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:   0.0
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.005
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.918
HLM stability:   0.003
?
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):  1.227 Half-life (T1/2):  6.003

ADMET: Toxicity

hERG Blockers:  0.009 hERG Blockers (10um):  0.056
Human Hepatotoxicity (H-HT):  0.377 Drug-induced Liver Injury (DILI):  0.988
AMES Toxicity:  0.932 Rat Oral Acute Toxicity:  0.025
Maximum Recommended Daily Dose:  0.024 Skin Sensitization:  0.918
Carcinogencity:  0.02 Eye Corrosion:  0.0
Eye Irritation:  0.049 Respiratory Toxicity:  0.01
Drug-induced Neurotoxicity:  0.0 Ototoxicity:  0.966
Hematotoxicity:  0.156 Drug-induced Nephrotoxicity:  0.93
Genotoxicity:  0.828 RPMI-8226 Immunitoxicity:  0.176
A549 Cytotoxicity:  0.049 Hek293 Cytotoxicity:  0.095
BCF:   0.233
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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:   2.972
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.315
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.475
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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
NPO26657 Conocephalum conicum Species Conocephalaceae Eukaryota n.a. n.a. n.a. PMID[33264011]
NPO26657 Conocephalum conicum Species Conocephalaceae Eukaryota n.a. n.a. n.a. Database[Article]
NPO26657 Conocephalum conicum Species Conocephalaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO26657 Conocephalum conicum Species Conocephalaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO26657 Conocephalum conicum Species Conocephalaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO26657 Conocephalum conicum Species Conocephalaceae 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 NPC578001 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
0.825 Intermediate Similarity NPC608742
0.7683 Intermediate Similarity NPC282169
0.747 Intermediate Similarity NPC20505
0.7073 Intermediate Similarity NPC331652
0.6988 Remote Similarity NPC19709
0.6867 Remote Similarity NPC473043
0.6667 Remote Similarity NPC46202
0.6512 Remote Similarity NPC95090
0.6512 Remote Similarity NPC27408
0.6452 Remote Similarity NPC22062
0.6452 Remote Similarity NPC473634
0.6452 Remote Similarity NPC138811
0.6437 Remote Similarity NPC181712
0.6354 Remote Similarity NPC229409
0.6316 Remote Similarity NPC64051
0.6263 Remote Similarity NPC253685
0.6111 Remote Similarity NPC237435
0.6044 Remote Similarity NPC43211
0.6023 Remote Similarity NPC39360
0.6023 Remote Similarity NPC29763
0.6023 Remote Similarity NPC210003
0.6022 Remote Similarity NPC600989
0.6 Remote Similarity NPC44931
0.6 Remote Similarity NPC27942
0.5955 Remote Similarity NPC189142
0.5955 Remote Similarity NPC77660
0.5938 Remote Similarity NPC210073
0.5914 Remote Similarity NPC190003
0.59 Remote Similarity NPC475382
0.587 Remote Similarity NPC22832
0.587 Remote Similarity NPC243930
0.5859 Remote Similarity NPC209296
0.57 Remote Similarity NPC473623
0.5699 Remote Similarity NPC601144
0.5667 Remote Similarity NPC261866
0.5667 Remote Similarity NPC238376
0.5652 Remote Similarity NPC101191
0.5644 Remote Similarity NPC479766
0.5644 Remote Similarity NPC488089
0.5638 Remote Similarity NPC607707
0.5612 Remote Similarity NPC65003
0.5591 Remote Similarity NPC210094
0.5591 Remote Similarity NPC611303
0.5588 Remote Similarity NPC479765
0.5556 Remote Similarity NPC115674
0.5556 Remote Similarity NPC160515
0.5532 Remote Similarity NPC115760
0.5532 Remote Similarity NPC610187
0.5524 Remote Similarity NPC11468
0.5495 Remote Similarity NPC58053
0.5495 Remote Similarity NPC249281
0.5495 Remote Similarity NPC108831
0.5495 Remote Similarity NPC143851
0.5495 Remote Similarity NPC182634
0.5474 Remote Similarity NPC311830
0.5426 Remote Similarity NPC135277
0.54 Remote Similarity NPC204693
0.5385 Remote Similarity NPC101636
0.5385 Remote Similarity NPC298171
0.5376 Remote Similarity NPC186807
0.5376 Remote Similarity NPC271692
0.5368 Remote Similarity NPC80188
0.5361 Remote Similarity NPC211594
0.534 Remote Similarity NPC270675
0.534 Remote Similarity NPC195685
0.5326 Remote Similarity NPC289667
0.5312 Remote Similarity NPC220169
0.5312 Remote Similarity NPC605784
0.5306 Remote Similarity NPC251417
0.5269 Remote Similarity NPC158674
0.5229 Remote Similarity NPC473644
0.5213 Remote Similarity NPC46420
0.5189 Remote Similarity NPC472994
0.5182 Remote Similarity NPC311850
0.5179 Remote Similarity NPC68592
0.5155 Remote Similarity NPC116458
0.5155 Remote Similarity NPC246943
0.5152 Remote Similarity NPC8856
0.5152 Remote Similarity NPC606546
0.5146 Remote Similarity NPC65711
0.5143 Remote Similarity NPC195257
0.5102 Remote Similarity NPC276377
0.5062 Remote Similarity NPC29353

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC578001 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
0.6111 Remote Similarity NPD4338 Clinical (unspecified phase)
0.5859 Remote Similarity NPD7054 Phase 4

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