Natural Product: NPC473072

Natural Product IDNPC473072
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
XPZSTTGGUQPRPH-QMSXDKOZSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL3609097
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:0003531] Flavonoid-3-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 XPZSTTGGUQPRPH-QMSXDKOZSA-N
Standard InCHI InChI=1S/C29H32O17/c1-9-17(32)21(36)23(38)28(42-9)46-27-22(37)18(33)15(7-30)44-29(27)45-26-20(35)16-13(6-14-25(19(16)34)41-8-40-14)43-24(26)10-3-4-11(31)12(5-10)39-2/h3-6,9,15,17-18,21-23,27-34,36-38H,7-8H2,1-2H3/t9-,15+,17-,18+,21+,22-,23+,27+,28-,29-/m0/s1
SMILES CC1C(C(C(C(O1)OC2C(C(C(OC2OC3=C(OC4=CC5=C(C(=C4C3=O)O)OCO5)C6=CC(=C(C=C6)O)OC)CO)O)O)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   652.16 Volume:   587.143
?
Van der Waals volume.
Dense:   1.111 LogP:   -0.446
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   0.584
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.143
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   7.0 Rigid Bonds:   34.0
TPSA:   256.66
?
Topological Polar Surface Area.
H-Bond Acceptor:   17.0
H-Bond Donor:   8.0 Rings:   6.0
Heavy Atoms:   17.0

MedChem Properties

QED Drug-Likeness Score:   0.147 GASA:   0.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.908 Fsp3:   0.483
MCE-18:   136.953
?
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:   0.246 Fluc inhibitor:   0.051
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.866
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.786
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.079 Promiscuous compounds:   0.24

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.39 MDCK Permeability:   -5.221
Pgp-inhibitor:   0.0 Pgp-substrate:   0.91
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):   0.991
20% Bioavailability (F20%):   0.404 30% Bioavailability (F30%):   0.971
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.885
Plasma Protein Binding (PPB):   75.095% Volume Distribution (VD):   -0.226
Fu: 23.831%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.001
OATP1B3 inhibitor:   0.937 BCRP inhibitor:   0.609
BSEP inhibitor:   0.388

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.008 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.808 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.001
CYP3A4-inhibitor:   0.001 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.053
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):  1.437 Half-life (T1/2):  3.632

ADMET: Toxicity

hERG Blockers:  0.031 hERG Blockers (10um):  0.325
Human Hepatotoxicity (H-HT):  0.49 Drug-induced Liver Injury (DILI):  0.842
AMES Toxicity:  0.637 Rat Oral Acute Toxicity:  0.272
Maximum Recommended Daily Dose:  0.244 Skin Sensitization:  0.228
Carcinogencity:  0.302 Eye Corrosion:  0.0
Eye Irritation:  0.042 Respiratory Toxicity:  0.042
Drug-induced Neurotoxicity:  0.145 Ototoxicity:  0.961
Hematotoxicity:  0.081 Drug-induced Nephrotoxicity:  0.087
Genotoxicity:  0.287 RPMI-8226 Immunitoxicity:  0.131
A549 Cytotoxicity:  0.103 Hek293 Cytotoxicity:  0.634
BCF:   0.497
?
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:   3.01
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.989
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.849
?
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
NPO33494 atriplex littoralis Species Chenopodiaceae Eukaryota n.a. n.a. n.a. PMID[26290401]
NPO33494 atriplex littoralis Species Chenopodiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]

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
NPT885 Cell line PBL n.a. Activity = 170.9 n.a. PMID[21910504]
NPT885 Cell line PBL n.a. Activity = 172.0 n.a. PMID[21910504]
NPT885 Cell line PBL n.a. Activity = 14.3 % PMID[8864236]
NPT885 Cell line PBL n.a. Activity = 14.1 % PMID[8410974]
NPT885 Cell line PBL n.a. Activity = 14.4 % DrugMatrix in vitro pharmacology data
NPT885 Cell line PBL n.a. Activity = 1.7 n.a. PMID[22901896]
NPT885 Cell line PBL n.a. Activity = 1.2 n.a. PMID[23368966]
NPT885 Cell line PBL n.a. Activity = 175.3 n.a. PMID[17253840]
NPT885 Cell line PBL n.a. Activity = 94.0 % PMID[17371810]
NPT885 Cell line PBL n.a. Activity = 93.4 % PMID[21377877]
NPT885 Cell line PBL n.a. Activity = 95.8 % PMID[21377877]

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 NPC473072 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
0.837 Intermediate Similarity NPC473071
0.7423 Intermediate Similarity NPC220173
0.7021 Intermediate Similarity NPC473682
0.6907 Remote Similarity NPC470444
0.6667 Remote Similarity NPC240306
0.6458 Remote Similarity NPC488072
0.6408 Remote Similarity NPC195257
0.6214 Remote Similarity NPC32641
0.6214 Remote Similarity NPC256188
0.62 Remote Similarity NPC163242
0.62 Remote Similarity NPC272068
0.6168 Remote Similarity NPC89052
0.6139 Remote Similarity NPC155877
0.6058 Remote Similarity NPC35119
0.5943 Remote Similarity NPC473073
0.5758 Remote Similarity NPC101026
0.5758 Remote Similarity NPC488077
0.5644 Remote Similarity NPC170052
0.5644 Remote Similarity NPC135846
0.5625 Remote Similarity NPC219043
0.5625 Remote Similarity NPC173837
0.5588 Remote Similarity NPC254855
0.5588 Remote Similarity NPC94610
0.5556 Remote Similarity NPC142142
0.5546 Remote Similarity NPC192539
0.549 Remote Similarity NPC476215
0.5455 Remote Similarity NPC24043
0.5455 Remote Similarity NPC27640
0.5439 Remote Similarity NPC480441
0.5439 Remote Similarity NPC25523
0.5437 Remote Similarity NPC95866
0.5417 Remote Similarity NPC175429
0.5405 Remote Similarity NPC602448
0.5392 Remote Similarity NPC223747
0.5377 Remote Similarity NPC65003
0.537 Remote Similarity NPC483414
0.5357 Remote Similarity NPC14187
0.5347 Remote Similarity NPC488071
0.534 Remote Similarity NPC203050
0.534 Remote Similarity NPC225434
0.5333 Remote Similarity NPC209550
0.5327 Remote Similarity NPC115674
0.5321 Remote Similarity NPC482026
0.53 Remote Similarity NPC603655
0.5294 Remote Similarity NPC21666
0.5263 Remote Similarity NPC488075
0.5243 Remote Similarity NPC602805
0.5229 Remote Similarity NPC480471
0.5229 Remote Similarity NPC488076
0.5225 Remote Similarity NPC476472
0.5225 Remote Similarity NPC294815
0.5225 Remote Similarity NPC16194
0.5222 Remote Similarity NPC261004
0.5124 Remote Similarity NPC488079
0.5096 Remote Similarity NPC206123
0.5093 Remote Similarity NPC304741
0.5091 Remote Similarity NPC12013
0.5091 Remote Similarity NPC11432
0.5091 Remote Similarity NPC477613
0.5086 Remote Similarity NPC48984
0.5082 Remote Similarity NPC138990
0.5046 Remote Similarity NPC255157
0.5046 Remote Similarity NPC259896
0.5045 Remote Similarity NPC122467

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC473072 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