Natural Product: NPC487214

Natural Product IDNPC487214
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
RTRRNASIAZHUPE-JIGWJBEDSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 132526857
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0002506] Isoflavonoids
        • [CHEMONTID:0000507] Isoflavonoid 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 RTRRNASIAZHUPE-JIGWJBEDSA-N
Standard InCHI InChI=1S/C29H34O12/c1-13-21(30)26(35-3)24(33)28(38-13)40-16-7-5-15(6-8-16)19-12-37-20-11-17(9-10-18(20)23(19)32)41-29-25(34)27(36-4)22(31)14(2)39-29/h5-14,21-22,24-31,33-34H,1-4H3/t13-,14-,21-,22-,24+,25+,26+,27+,28-,29-/m0/s1
SMILES C[C@H]1[C@@H]([C@H]([C@H]([C@@H](O1)Oc1ccc(cc1)c1coc2cc(ccc2c1=O)O[C@H]1[C@@H]([C@@H]([C@H]([C@H](C)O1)O)OC)O)O)OC)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   574.21 Volume:   551.749
?
Van der Waals volume.
Dense:   1.041 LogP:   1.038
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.499
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.889
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   7.0 Rigid Bonds:   30.0
TPSA:   166.51
?
Topological Polar Surface Area.
H-Bond Acceptor:   12.0
H-Bond Donor:   4.0 Rings:   5.0
Heavy Atoms:   12.0

MedChem Properties

QED Drug-Likeness Score:   0.319 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.593 Fsp3:   0.483
MCE-18:   110.884
?
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:   0.597 Fluc inhibitor:   0.315
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.903
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.208
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.318 Promiscuous compounds:   0.176

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.603 MDCK Permeability:   -5.145
Pgp-inhibitor:   0.104 Pgp-substrate:   0.945
PAMPA:   0.999
?
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):   0.664
20% Bioavailability (F20%):   0.221 30% Bioavailability (F30%):   0.56
50% Bioavailability (F50%):   0.955

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.406
Plasma Protein Binding (PPB):   92.748% Volume Distribution (VD):   -0.075
Fu: 6.108%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.985
OATP1B3 inhibitor:   0.998 BCRP inhibitor:   0.06
BSEP inhibitor:   0.626

ADMET: Metabolism

CYP1A2-inhibitor:   0.034 CYP1A2-substrate:   0.741
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.001
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.024
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.998
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.981
HLM stability:   0.006
?
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):  2.299 Half-life (T1/2):  4.462

ADMET: Toxicity

hERG Blockers:  0.127 hERG Blockers (10um):  0.252
Human Hepatotoxicity (H-HT):  0.697 Drug-induced Liver Injury (DILI):  0.999
AMES Toxicity:  0.96 Rat Oral Acute Toxicity:  0.056
Maximum Recommended Daily Dose:  0.02 Skin Sensitization:  0.926
Carcinogencity:  0.129 Eye Corrosion:  0.0
Eye Irritation:  0.057 Respiratory Toxicity:  0.024
Drug-induced Neurotoxicity:  0.016 Ototoxicity:  0.965
Hematotoxicity:  0.393 Drug-induced Nephrotoxicity:  0.966
Genotoxicity:  0.679 RPMI-8226 Immunitoxicity:  0.386
A549 Cytotoxicity:  0.533 Hek293 Cytotoxicity:  0.269
BCF:   0.879
?
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:   3.582
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.736
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.281
?
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
NPO40231 Streptomyces sp. RB1 Strain Streptomycetaceae Bacteria n.a. n.a. n.a. PMID[28006913]
NPO40231 Streptomyces sp. RB1 Strain Streptomycetaceae Bacteria 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
NPT85 Organism Filobasidiella neoformans Cryptococcus neoformans MIC > 100.0 ug.mL-1 PMID[28006913]
NPT1173 Organism Candida albicans SC5314 Candida albicans SC5314 MIC > 100.0 ug.mL-1 PMID[28006913]
NPT19 Organism Escherichia coli Escherichia coli MIC > 100.0 ug.mL-1 PMID[28006913]
NPT16 Organism Staphylococcus aureus Staphylococcus aureus MIC > 100.0 ug.mL-1 PMID[28006913]

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 NPC487214 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
0.7429 Intermediate Similarity NPC25547
0.7397 Intermediate Similarity NPC487213
0.6667 Remote Similarity NPC487212
0.6447 Remote Similarity NPC45165
0.6364 Remote Similarity NPC211014
0.6 Remote Similarity NPC182428
0.5976 Remote Similarity NPC43761
0.5797 Remote Similarity NPC136095
0.5679 Remote Similarity NPC161749
0.5595 Remote Similarity NPC229729
0.5432 Remote Similarity NPC160515
0.5429 Remote Similarity NPC479067
0.5412 Remote Similarity NPC601607
0.5405 Remote Similarity NPC254741
0.5366 Remote Similarity NPC478528
0.5352 Remote Similarity NPC181124
0.5301 Remote Similarity NPC258035
0.5286 Remote Similarity NPC185607
0.5278 Remote Similarity NPC471590
0.5244 Remote Similarity NPC135345
0.5139 Remote Similarity NPC186507
0.5072 Remote Similarity NPC120924

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC487214 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
0.5679 Remote Similarity NPD4381 Clinical (unspecified phase)
0.5429 Remote Similarity NPD2796 Phase 2

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