Natural Product: NPC59215

Natural Product IDNPC59215
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
RSMQMCVBDYCRDI-VTAQJYJSSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 102580780
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:0002207] O-glycosyl compounds

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 RSMQMCVBDYCRDI-VTAQJYJSSA-N
Standard InCHI InChI=1S/C18H24O10/c1-3-9-10-4-5-24-16(23)11(10)6-26-17(9)28-18-15(22)14(21)13(20)12(27-18)7-25-8(2)19/h3,6,9-10,12-15,17-18,20-22H,1,4-5,7H2,2H3/t9-,10+,12-,13-,14+,15-,17+,18+/m1/s1
SMILES C=C[C@@H]1[C@@H]2CCOC(=O)C2=CO[C@H]1O[C@H]1[C@@H]([C@H]([C@@H]([C@@H](COC(=O)C)O1)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   400.14 Volume:   371.571
?
Van der Waals volume.
Dense:   1.077 LogP:   -0.386
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   -0.044
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -1.132
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   6.0 Rigid Bonds:   20.0
TPSA:   140.98
?
Topological Polar Surface Area.
H-Bond Acceptor:   10.0
H-Bond Donor:   3.0 Rings:   3.0
Heavy Atoms:   10.0

MedChem Properties

QED Drug-Likeness Score:   0.388 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.695 Fsp3:   0.667
MCE-18:   53.333
?
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:   Accepted
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.53 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.053
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.003
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.219 Promiscuous compounds:   0.243

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.511 MDCK Permeability:   -4.946
Pgp-inhibitor:   0.028 Pgp-substrate:   0.229
PAMPA:   0.842
?
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):   0.094
20% Bioavailability (F20%):   0.353 30% Bioavailability (F30%):   0.961
50% Bioavailability (F50%):   0.54

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.023 MRP1:   0.062
Plasma Protein Binding (PPB):   38.138% Volume Distribution (VD):   -0.624
Fu: 63.68%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.992
OATP1B3 inhibitor:   0.996 BCRP inhibitor:   0.0
BSEP inhibitor:   0.026

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.001 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.004 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.044
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.001
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.971
HLM stability:   0.78
?
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):  2.146 Half-life (T1/2):  2.013

ADMET: Toxicity

hERG Blockers:  0.014 hERG Blockers (10um):  0.096
Human Hepatotoxicity (H-HT):  0.519 Drug-induced Liver Injury (DILI):  0.961
AMES Toxicity:  0.965 Rat Oral Acute Toxicity:  0.06
Maximum Recommended Daily Dose:  0.049 Skin Sensitization:  1.0
Carcinogencity:  0.584 Eye Corrosion:  0.0
Eye Irritation:  0.303 Respiratory Toxicity:  0.004
Drug-induced Neurotoxicity:  0.094 Ototoxicity:  0.834
Hematotoxicity:  0.538 Drug-induced Nephrotoxicity:  0.865
Genotoxicity:  0.762 RPMI-8226 Immunitoxicity:  0.102
A549 Cytotoxicity:  0.077 Hek293 Cytotoxicity:  0.078
BCF:   0.416
?
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:   2.903
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.442
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.922
?
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
NPO17857 Leptogorgia alba Species Gorgoniidae Eukaryota n.a. n.a. n.a. PMID[15844963]
NPO17857 Leptogorgia alba Species Gorgoniidae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO22647 Araucaria araucana Species Araucariaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO13459 Nitraria tangutorum Species Nitrariaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO13459 Nitraria tangutorum Species Nitrariaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO22978 Morus tinctoria Species Sulidae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO22978 Morus tinctoria Species Sulidae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO13459 Nitraria tangutorum Species Nitrariaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO22647 Araucaria araucana Species Araucariaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO22766 Lophanthus chinensis Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO17857 Leptogorgia alba Species Gorgoniidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO13459 Nitraria tangutorum Species Nitrariaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO22978 Morus tinctoria Species Sulidae 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 NPC59215 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
0.7667 Intermediate Similarity NPC307699
0.6471 Remote Similarity NPC472124
0.6377 Remote Similarity NPC472126
0.6 Remote Similarity NPC472125
0.5909 Remote Similarity NPC117596
0.5667 Remote Similarity NPC472131
0.5467 Remote Similarity NPC284929
0.5395 Remote Similarity NPC488456
0.5395 Remote Similarity NPC488471
0.5395 Remote Similarity NPC488466
0.5395 Remote Similarity NPC488465
0.5395 Remote Similarity NPC488460
0.5395 Remote Similarity NPC488462
0.5333 Remote Similarity NPC197541
0.5333 Remote Similarity NPC118761
0.5309 Remote Similarity NPC46641
0.5263 Remote Similarity NPC267869
0.5211 Remote Similarity NPC27687
0.5128 Remote Similarity NPC86095

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC59215 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