Natural Product: NPC304710

Natural Product IDNPC304710
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
UGZKXZGXGFWBLZ-TUAZENJXSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 11968740
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 UGZKXZGXGFWBLZ-TUAZENJXSA-N
Standard InCHI InChI=1S/C26H28O13/c1-10-24(39-25-22(33)20(31)16(30)9-35-25)21(32)23(34)26(36-10)37-13-6-14(28)19-15(29)8-17(38-18(19)7-13)11-2-4-12(27)5-3-11/h2-8,10,16,20-28,30-34H,9H2,1H3/t10-,16+,20-,21-,22+,23+,24-,25-,26-/m0/s1
SMILES C[C@H]1[C@@H]([C@H]([C@H]([C@@H](O1)Oc1cc(c2c(=O)cc(c3ccc(cc3)O)oc2c1)O)O)O)O[C@H]1[C@@H]([C@H]([C@@H](CO1)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   548.15 Volume:   508.651
?
Van der Waals volume.
Dense:   1.078 LogP:   1.181
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.442
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.928
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   5.0 Rigid Bonds:   30.0
TPSA:   208.74
?
Topological Polar Surface Area.
H-Bond Acceptor:   13.0
H-Bond Donor:   7.0 Rings:   5.0
Heavy Atoms:   13.0

MedChem Properties

QED Drug-Likeness Score:   0.216 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.552 Fsp3:   0.423
MCE-18:   113.297
?
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:   0 PAINS Alert:   0
Colloidal aggregators:   0.641 Fluc inhibitor:   0.383
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.946
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.54
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.116 Promiscuous compounds:   0.478

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.367 MDCK Permeability:   -5.17
Pgp-inhibitor:   0.0 Pgp-substrate:   0.922
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):   0.45
20% Bioavailability (F20%):   0.777 30% Bioavailability (F30%):   0.99
50% Bioavailability (F50%):   0.998

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.002 MRP1:   0.393
Plasma Protein Binding (PPB):   82.814% Volume Distribution (VD):   -0.041
Fu: 15.86%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.993
OATP1B3 inhibitor:   0.999 BCRP inhibitor:   0.396
BSEP inhibitor:   0.005

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:   0.608
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.972
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.821
HLM stability:   0.111
?
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):  1.918 Half-life (T1/2):  3.895

ADMET: Toxicity

hERG Blockers:  0.03 hERG Blockers (10um):  0.214
Human Hepatotoxicity (H-HT):  0.479 Drug-induced Liver Injury (DILI):  0.976
AMES Toxicity:  0.852 Rat Oral Acute Toxicity:  0.057
Maximum Recommended Daily Dose:  0.221 Skin Sensitization:  0.991
Carcinogencity:  0.103 Eye Corrosion:  0.0
Eye Irritation:  0.682 Respiratory Toxicity:  0.086
Drug-induced Neurotoxicity:  0.002 Ototoxicity:  0.765
Hematotoxicity:  0.095 Drug-induced Nephrotoxicity:  0.376
Genotoxicity:  0.67 RPMI-8226 Immunitoxicity:  0.187
A549 Cytotoxicity:  0.725 Hek293 Cytotoxicity:  0.681
BCF:   0.429
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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:   3.091
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.507
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.605
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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
NPO3634 Robinia pseudoacacia Species Fabaceae Eukaryota n.a. n.a. n.a. PMID[11551759]
NPO3634 Robinia pseudoacacia Species Fabaceae Eukaryota n.a. whole plant n.a. PMID[21214467]
NPO3634 Robinia pseudoacacia Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO3634 Robinia pseudoacacia Species Fabaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO3634 Robinia pseudoacacia Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO3634 Robinia pseudoacacia Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO3634 Robinia pseudoacacia Species Fabaceae 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 NPC304710 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
0.7045 Intermediate Similarity NPC44931
0.7037 Intermediate Similarity NPC331652
0.6905 Remote Similarity NPC27942
0.6747 Remote Similarity NPC39360
0.6747 Remote Similarity NPC29763
0.6747 Remote Similarity NPC210003
0.625 Remote Similarity NPC488089
0.6237 Remote Similarity NPC210073
0.6224 Remote Similarity NPC179862
0.6222 Remote Similarity NPC190003
0.6163 Remote Similarity NPC19709
0.6122 Remote Similarity NPC101636
0.6122 Remote Similarity NPC298171
0.6105 Remote Similarity NPC64051
0.6064 Remote Similarity NPC473512
0.6064 Remote Similarity NPC22062
0.6064 Remote Similarity NPC65003
0.6064 Remote Similarity NPC129827
0.6064 Remote Similarity NPC473634
0.6064 Remote Similarity NPC138811
0.6044 Remote Similarity NPC276377
0.6023 Remote Similarity NPC181712
0.5918 Remote Similarity NPC270675
0.5918 Remote Similarity NPC195685
0.5909 Remote Similarity NPC189142
0.5909 Remote Similarity NPC77660
0.5833 Remote Similarity NPC122809
0.5743 Remote Similarity NPC472994
0.573 Remote Similarity NPC95090
0.573 Remote Similarity NPC27408
0.5714 Remote Similarity NPC282169
0.5714 Remote Similarity NPC65711
0.5682 Remote Similarity NPC473043
0.5657 Remote Similarity NPC473623
0.5657 Remote Similarity NPC209296
0.5652 Remote Similarity NPC601144
0.5618 Remote Similarity NPC261866
0.5591 Remote Similarity NPC311830
0.5524 Remote Similarity NPC472993
0.5514 Remote Similarity NPC488087
0.5514 Remote Similarity NPC488083
0.5513 Remote Similarity NPC234133
0.551 Remote Similarity NPC186816
0.5505 Remote Similarity NPC298666
0.55 Remote Similarity NPC229409
0.5444 Remote Similarity NPC249281
0.5444 Remote Similarity NPC108831
0.5444 Remote Similarity NPC182634
0.5417 Remote Similarity NPC8856
0.5354 Remote Similarity NPC115674
0.5319 Remote Similarity NPC22832
0.5319 Remote Similarity NPC243930
0.5312 Remote Similarity NPC172807
0.5306 Remote Similarity NPC604854
0.53 Remote Similarity NPC46202
0.5288 Remote Similarity NPC484301
0.5275 Remote Similarity NPC83283
0.5253 Remote Similarity NPC150164
0.5217 Remote Similarity NPC93337
0.5217 Remote Similarity NPC297987
0.5217 Remote Similarity NPC146792
0.5217 Remote Similarity NPC323593
0.5217 Remote Similarity NPC203500
0.5204 Remote Similarity NPC295613
0.5204 Remote Similarity NPC473657
0.5204 Remote Similarity NPC139320
0.5196 Remote Similarity NPC210961
0.5189 Remote Similarity NPC11468
0.5182 Remote Similarity NPC488088
0.5161 Remote Similarity NPC46420
0.5161 Remote Similarity NPC105025
0.5161 Remote Similarity NPC610763
0.5158 Remote Similarity NPC80188
0.5152 Remote Similarity NPC67105
0.5104 Remote Similarity NPC116458
0.5104 Remote Similarity NPC246943
0.5104 Remote Similarity NPC220169
0.5104 Remote Similarity NPC607707
0.5096 Remote Similarity NPC195257
0.5096 Remote Similarity NPC475382
0.5053 Remote Similarity NPC20505
0.5049 Remote Similarity NPC72016
0.5046 Remote Similarity NPC473644

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC304710 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
0.5657 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