Natural Product: NPC577567

Natural Product IDNPC577567
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
(2~{S},3~{S},4~{S},5~{R},6~{S})-3,4,5-trihydroxy-6-[5-hydroxy-2-[3-methoxy-4-[(2~{S},3~{S},4~{R},5~{R},6~{R})-3,4,5-trihydroxy-6-methyl-tetrahydropyran-2-yl]oxy-phenyl]-4-oxo-chromen-7-yl]oxy-tetrahydropyran-2-carboxylic acid
IUPAC Name (2~{S},3~{S},4~{S},5~{R},6~{S})-3,4,5-trihydroxy-6-[5-hydroxy-2-[3-methoxy-4-[(2~{S},3~{S},4~{R},5~{R},6~{R})-3,4,5-trihydroxy-6-methyl-tetrahydropyran-2-yl]oxy-phenyl]-4-oxo-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]

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 ZENWXUBCITVBTM-DAVBIMNCSA-N
Standard InCHI InChI=1S/C28H30O16/c1-9-19(31)20(32)23(35)27(40-9)43-14-4-3-10(5-16(14)39-2)15-8-13(30)18-12(29)6-11(7-17(18)42-15)41-28-24(36)21(33)22(34)25(44-28)26(37)38/h3-9,19-25,27-29,31-36H,1-2H3,(H,37,38)/t9-,19+,20-,21+,22+,23+,24-,25+,27+,28-/m1/s1
SMILES COC1=CC(C2=CC(=O)C3=C(O)C=C(O[C@@H]4O[C@H](C(=O)O)[C@@H](O)[C@H](O)[C@H]4O)C=C3O2)=CC=C1O[C@@H]1O[C@H](C)[C@H](O)[C@@H](O)[C@@H]1O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   622.15 Volume:   566.977
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Van der Waals volume.
Dense:   1.097 LogP:   0.856
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.411
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.499
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The logarithm of aqueous solubility value.
Rotatable Bonds:   7.0 Rigid Bonds:   31.0
TPSA:   255.27
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Topological Polar Surface Area.
H-Bond Acceptor:   16.0
H-Bond Donor:   8.0 Rings:   5.0
Heavy Atoms:   16.0

MedChem Properties

QED Drug-Likeness Score:   0.152 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.698 Fsp3:   0.429
MCE-18:   122.5
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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:   0.483 Fluc inhibitor:   0.362
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.964
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.93
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.11 Promiscuous compounds:   0.399

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.276 MDCK Permeability:   -5.318
Pgp-inhibitor:   0.0 Pgp-substrate:   0.984
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):   0.979
20% Bioavailability (F20%):   0.287 30% Bioavailability (F30%):   0.916
50% Bioavailability (F50%):   0.989

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.954
Plasma Protein Binding (PPB):   79.146% Volume Distribution (VD):   -0.201
Fu: 18.312%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.475
OATP1B3 inhibitor:   0.995 BCRP inhibitor:   0.224
BSEP inhibitor:   0.0

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:   0.08
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.004
HLM stability:   0.0
?
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):  1.056 Half-life (T1/2):  5.283

ADMET: Toxicity

hERG Blockers:  0.006 hERG Blockers (10um):  0.021
Human Hepatotoxicity (H-HT):  0.71 Drug-induced Liver Injury (DILI):  0.999
AMES Toxicity:  0.967 Rat Oral Acute Toxicity:  0.018
Maximum Recommended Daily Dose:  0.013 Skin Sensitization:  0.999
Carcinogencity:  0.072 Eye Corrosion:  0.0
Eye Irritation:  0.147 Respiratory Toxicity:  0.019
Drug-induced Neurotoxicity:  0.0 Ototoxicity:  0.956
Hematotoxicity:  0.447 Drug-induced Nephrotoxicity:  0.934
Genotoxicity:  0.974 RPMI-8226 Immunitoxicity:  0.19
A549 Cytotoxicity:  0.384 Hek293 Cytotoxicity:  0.172
BCF:   0.225
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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:   2.959
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.349
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.534
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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 NPC577567 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
0.7586 Intermediate Similarity NPC608742
0.6923 Remote Similarity NPC607707
0.6889 Remote Similarity NPC282169
0.6889 Remote Similarity NPC20505
0.6813 Remote Similarity NPC243930
0.6517 Remote Similarity NPC473043
0.6444 Remote Similarity NPC19709
0.6333 Remote Similarity NPC331652
0.62 Remote Similarity NPC46202
0.6022 Remote Similarity NPC95090
0.6022 Remote Similarity NPC27408
0.6 Remote Similarity NPC22062
0.6 Remote Similarity NPC473634
0.6 Remote Similarity NPC138811
0.5957 Remote Similarity NPC181712
0.5849 Remote Similarity NPC253685
0.5833 Remote Similarity NPC609451
0.5773 Remote Similarity NPC22832
0.5769 Remote Similarity NPC209296
0.5769 Remote Similarity NPC229409
0.5728 Remote Similarity NPC64051
0.5714 Remote Similarity NPC88023
0.5714 Remote Similarity NPC311830
0.5612 Remote Similarity NPC601144
0.56 Remote Similarity NPC600989
0.5567 Remote Similarity NPC27942
0.5534 Remote Similarity NPC210073
0.5521 Remote Similarity NPC189142
0.5521 Remote Similarity NPC77660
0.5514 Remote Similarity NPC475382
0.551 Remote Similarity NPC237435
0.551 Remote Similarity NPC611303
0.55 Remote Similarity NPC190003
0.5465 Remote Similarity NPC195202
0.5455 Remote Similarity NPC43211
0.5437 Remote Similarity NPC44931
0.5417 Remote Similarity NPC261866
0.5417 Remote Similarity NPC39360
0.5417 Remote Similarity NPC29763
0.5417 Remote Similarity NPC210003
0.5417 Remote Similarity NPC238376
0.54 Remote Similarity NPC309025
0.537 Remote Similarity NPC195257
0.537 Remote Similarity NPC479765
0.5327 Remote Similarity NPC473623
0.5306 Remote Similarity NPC271692
0.5283 Remote Similarity NPC475366
0.5278 Remote Similarity NPC479766
0.5278 Remote Similarity NPC488089
0.5258 Remote Similarity NPC108831
0.5258 Remote Similarity NPC182634
0.5204 Remote Similarity NPC158674
0.5189 Remote Similarity NPC204693
0.5189 Remote Similarity NPC115674
0.5179 Remote Similarity NPC11468
0.5152 Remote Similarity NPC186807
0.5152 Remote Similarity NPC46420
0.5149 Remote Similarity NPC115760
0.5149 Remote Similarity NPC610187
0.5146 Remote Similarity NPC211594
0.5102 Remote Similarity NPC58053
0.5102 Remote Similarity NPC249281
0.51 Remote Similarity NPC182045
0.51 Remote Similarity NPC101191
0.5094 Remote Similarity NPC65003
0.505 Remote Similarity NPC135277
0.505 Remote Similarity NPC210094
0.5045 Remote Similarity NPC101636

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC577567 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
0.5769 Remote Similarity NPD7054 Phase 4
0.551 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