Natural Product: NPC272185

Natural Product IDNPC272185
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
XEYDWXMYBFXGFT-RGCYKPLRSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 10979933
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0004603] Organic oxygen compounds
      • [CHEMONTID:0000323] Organooxygen compounds
        • [CHEMONTID:0000011] Carbohydrates and carbohydrate conjugates
          • [CHEMONTID:0002105] Glycosyl compounds
            • [CHEMONTID:0004165] Phenolic 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 XEYDWXMYBFXGFT-RGCYKPLRSA-N
Standard InCHI InChI=1S/C14H18O8/c15-6-9-11(18)12(19)13(20)14(22-9)21-8-4-2-1-3-7(8)5-10(16)17/h1-4,9,11-15,18-20H,5-6H2,(H,16,17)/p-1/t9-,11-,12+,13-,14-/m1/s1
SMILES c1ccc(c(c1)CC(=O)[O-])O[C@H]1[C@@H]([C@H]([C@@H]([C@@H](CO)O1)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   314.1 Volume:   293.363
?
Van der Waals volume.
Dense:   1.071 LogP:   0.069
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   0.558
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -0.839
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   5.0 Rigid Bonds:   13.0
TPSA:   136.68
?
Topological Polar Surface Area.
H-Bond Acceptor:   8.0
H-Bond Donor:   5.0 Rings:   2.0
Heavy Atoms:   8.0

MedChem Properties

QED Drug-Likeness Score:   0.442 GASA:   0.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   3.402 Fsp3:   0.5
MCE-18:   48.667
?
MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Rejected
Pfizer Rule:   Rejected GSK Rule:   Rejected
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.33 Fluc inhibitor:   0.002
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.189
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.031
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.276 Promiscuous compounds:   0.187

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.082 MDCK Permeability:   -4.662
Pgp-inhibitor:   0.0 Pgp-substrate:   0.006
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):   0.002
20% Bioavailability (F20%):   0.0 30% Bioavailability (F30%):   0.002
50% Bioavailability (F50%):   0.009

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.112 MRP1:   0.774
Plasma Protein Binding (PPB):   61.381% Volume Distribution (VD):   -0.657
Fu: 39.043%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.073
OATP1B3 inhibitor:   0.478 BCRP inhibitor:   0.0
BSEP inhibitor:   0.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.001 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:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.001
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):  1.784 Half-life (T1/2):  3.415

ADMET: Toxicity

hERG Blockers:  0.006 hERG Blockers (10um):  0.004
Human Hepatotoxicity (H-HT):  0.67 Drug-induced Liver Injury (DILI):  0.992
AMES Toxicity:  0.581 Rat Oral Acute Toxicity:  0.061
Maximum Recommended Daily Dose:  0.003 Skin Sensitization:  0.998
Carcinogencity:  0.075 Eye Corrosion:  0.002
Eye Irritation:  0.567 Respiratory Toxicity:  0.011
Drug-induced Neurotoxicity:  0.004 Ototoxicity:  0.964
Hematotoxicity:  0.515 Drug-induced Nephrotoxicity:  0.926
Genotoxicity:  0.72 RPMI-8226 Immunitoxicity:  0.027
A549 Cytotoxicity:  0.003 Hek293 Cytotoxicity:  0.005
BCF:   0.181
?
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:   2.289
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   3.437
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   2.7
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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
NPO28450 Phyllanthus emblica Species Phyllanthaceae Eukaryota n.a. n.a. n.a. PMID[11754604]
NPO28450 Phyllanthus emblica Species Phyllanthaceae Eukaryota Roots Simao city, Yunnan Province, China 2007-MAY PMID[19374435]
NPO28450 Phyllanthus emblica Species Phyllanthaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO28450 Phyllanthus emblica Species Phyllanthaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO28450 Phyllanthus emblica Species Phyllanthaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO28450 Phyllanthus emblica Species Phyllanthaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO28450 Phyllanthus emblica Species Phyllanthaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO28450 Phyllanthus emblica Species Phyllanthaceae 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 NPC272185 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
0.6667 Remote Similarity NPC226712
0.6667 Remote Similarity NPC608788
0.6271 Remote Similarity NPC164599
0.6129 Remote Similarity NPC146540
0.6129 Remote Similarity NPC269421
0.5882 Remote Similarity NPC228907
0.5714 Remote Similarity NPC34456
0.5455 Remote Similarity NPC212729
0.5455 Remote Similarity NPC604498
0.5357 Remote Similarity NPC217854
0.5357 Remote Similarity NPC269242
0.5333 Remote Similarity NPC95292
0.5263 Remote Similarity NPC294470
0.5179 Remote Similarity NPC276195
0.5179 Remote Similarity NPC142319
0.5172 Remote Similarity NPC9248
0.5161 Remote Similarity NPC218685
0.5085 Remote Similarity NPC299144
0.5085 Remote Similarity NPC60589
0.5085 Remote Similarity NPC469708
0.5085 Remote Similarity NPC609376
0.5079 Remote Similarity NPC251102
0.5079 Remote Similarity NPC210298
0.5079 Remote Similarity NPC606892
0.5072 Remote Similarity NPC302989

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC272185 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
0.6667 Remote Similarity NPD1091 Pre-clinical

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