Natural Product: NPC175116

Natural Product IDNPC175116
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
HVGMINHJTDNOLV-GSXAJODKSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 44258449
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0000334] Flavonoids
        • [CHEMONTID:0001111] Flavonoid glycosides
          • [CHEMONTID:0001583] Flavonoid O-glycosides
            • [CHEMONTID:0003533] Flavonoid-7-O-glycosides

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 HVGMINHJTDNOLV-GSXAJODKSA-N
Standard InCHI InChI=1S/C28H32O15/c1-10-19(32)22(35)24(37)27(39-10)43-26-23(36)20(33)17(9-29)42-28(26)41-16-8-15-18(21(34)25(16)38-2)13(31)7-14(40-15)11-3-5-12(30)6-4-11/h3-8,10,17,19-20,22-24,26-30,32-37H,9H2,1-2H3/t10?,17?,19-,20+,22-,23-,24?,26?,27-,28+/m0/s1
SMILES CC1[C@@H]([C@@H](C([C@@H](O1)OC1[C@H]([C@@H](C(CO)O[C@H]1Oc1cc2c(c(=O)cc(c3ccc(cc3)O)o2)c(c1OC)O)O)O)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   608.17 Volume:   560.823
?
Van der Waals volume.
Dense:   1.084 LogP:   0.05
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   0.921
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.003
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   7.0 Rigid Bonds:   30.0
TPSA:   238.2
?
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:   0.159 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.702 Fsp3:   0.464
MCE-18:   118.585
?
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:   0.594 Fluc inhibitor:   0.193
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.883
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.948
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.144 Promiscuous compounds:   0.297

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.345 MDCK Permeability:   -5.275
Pgp-inhibitor:   0.0 Pgp-substrate:   0.982
PAMPA:   1.0
?
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):   0.957
20% Bioavailability (F20%):   0.927 30% Bioavailability (F30%):   0.996
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.001 MRP1:   0.782
Plasma Protein Binding (PPB):   83.464% Volume Distribution (VD):   -0.005
Fu: 15.174%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.889
OATP1B3 inhibitor:   0.996 BCRP inhibitor:   0.24
BSEP inhibitor:   0.001

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.434 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.03
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.98
HLM stability:   0.135
?
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):  1.249 Half-life (T1/2):  2.956

ADMET: Toxicity

hERG Blockers:  0.033 hERG Blockers (10um):  0.205
Human Hepatotoxicity (H-HT):  0.532 Drug-induced Liver Injury (DILI):  0.923
AMES Toxicity:  0.868 Rat Oral Acute Toxicity:  0.142
Maximum Recommended Daily Dose:  0.258 Skin Sensitization:  0.98
Carcinogencity:  0.3 Eye Corrosion:  0.0
Eye Irritation:  0.102 Respiratory Toxicity:  0.047
Drug-induced Neurotoxicity:  0.032 Ototoxicity:  0.911
Hematotoxicity:  0.156 Drug-induced Nephrotoxicity:  0.232
Genotoxicity:  0.927 RPMI-8226 Immunitoxicity:  0.166
A549 Cytotoxicity:  0.539 Hek293 Cytotoxicity:  0.839
BCF:   0.344
?
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:   2.825
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.569
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.548
?
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
NPO20096 Cirsium japonicum Species Asteraceae Eukaryota n.a. whole plant n.a. PMID[21899269]
NPO20096 Cirsium japonicum Species Asteraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO20096 Cirsium japonicum Species Asteraceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO20096 Cirsium japonicum Species Asteraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO20096 Cirsium japonicum Species Asteraceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO20096 Cirsium japonicum Species Asteraceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO20096 Cirsium japonicum Species Asteraceae 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

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 NPC175116 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
0.7791 Intermediate Similarity NPC65003
0.7229 Intermediate Similarity NPC105025
0.7045 Intermediate Similarity NPC473682
0.6923 Remote Similarity NPC115674
0.6915 Remote Similarity NPC195257
0.6905 Remote Similarity NPC93337
0.6667 Remote Similarity NPC240306
0.6559 Remote Similarity NPC470444
0.6437 Remote Similarity NPC186807
0.6395 Remote Similarity NPC58053
0.6364 Remote Similarity NPC201292
0.6304 Remote Similarity NPC8856
0.6238 Remote Similarity NPC473072
0.6224 Remote Similarity NPC473071
0.6211 Remote Similarity NPC204693
0.6186 Remote Similarity NPC32641
0.6186 Remote Similarity NPC256188
0.617 Remote Similarity NPC163242
0.617 Remote Similarity NPC272068
0.6154 Remote Similarity NPC602805
0.6132 Remote Similarity NPC298666
0.6067 Remote Similarity NPC45638
0.6061 Remote Similarity NPC475382
0.6058 Remote Similarity NPC311850
0.602 Remote Similarity NPC35119
0.5934 Remote Similarity NPC609451
0.5876 Remote Similarity NPC257566
0.5876 Remote Similarity NPC122809
0.587 Remote Similarity NPC605067
0.5851 Remote Similarity NPC172807
0.5773 Remote Similarity NPC155877
0.5769 Remote Similarity NPC120163
0.5743 Remote Similarity NPC220173
0.5741 Remote Similarity NPC68592
0.573 Remote Similarity NPC331652
0.5688 Remote Similarity NPC198199
0.5667 Remote Similarity NPC39360
0.5667 Remote Similarity NPC29763
0.5667 Remote Similarity NPC210003
0.5657 Remote Similarity NPC606547
0.5604 Remote Similarity NPC146792
0.5579 Remote Similarity NPC170052
0.5579 Remote Similarity NPC135846
0.5543 Remote Similarity NPC24043
0.5532 Remote Similarity NPC80188
0.5524 Remote Similarity NPC11468
0.5521 Remote Similarity NPC211594
0.551 Remote Similarity NPC44931
0.55 Remote Similarity NPC472992
0.549 Remote Similarity NPC142142
0.5439 Remote Similarity NPC262222
0.5417 Remote Similarity NPC476215
0.5398 Remote Similarity NPC120952
0.5376 Remote Similarity NPC610763
0.537 Remote Similarity NPC473644
0.537 Remote Similarity NPC25523
0.5333 Remote Similarity NPC253685
0.5333 Remote Similarity NPC602448
0.5306 Remote Similarity NPC44947
0.5306 Remote Similarity NPC239549
0.5294 Remote Similarity NPC483414
0.5273 Remote Similarity NPC488083
0.5269 Remote Similarity NPC95090
0.5269 Remote Similarity NPC27408
0.5243 Remote Similarity NPC483707
0.5204 Remote Similarity NPC254855
0.5204 Remote Similarity NPC94610
0.5181 Remote Similarity NPC607702
0.5161 Remote Similarity NPC83283
0.5158 Remote Similarity NPC117260
0.5155 Remote Similarity NPC136761
0.5152 Remote Similarity NPC254540
0.5149 Remote Similarity NPC22062
0.5149 Remote Similarity NPC473634
0.5149 Remote Similarity NPC138811
0.5106 Remote Similarity NPC259152
0.5104 Remote Similarity NPC488071
0.5053 Remote Similarity NPC10807
0.5053 Remote Similarity NPC27640
0.5053 Remote Similarity NPC161881
0.5052 Remote Similarity NPC243930
0.5051 Remote Similarity NPC95866
0.505 Remote Similarity NPC78734
0.5048 Remote Similarity NPC472991

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC175116 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