Natural Product: NPC307125

Natural Product IDNPC307125
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
OBNYZGVKISJJRK-UAMYCEOTSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 100913914
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0002049] Terpene glycosides
          • [CHEMONTID:0004081] Iridoid 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 OBNYZGVKISJJRK-UAMYCEOTSA-N
Standard InCHI InChI=1S/C24H30O13/c25-9-14-18(29)19(30)20(31)23(36-14)37-22-16-13(7-8-34-22)17(28)21(32)24(16,33)10-35-15(27)6-3-11-1-4-12(26)5-2-11/h1-8,13-14,16-23,25-26,28-33H,9-10H2/b6-3+/t13-,14-,16-,17+,18-,19+,20-,21+,22+,23+,24+/m1/s1
SMILES c1cc(ccc1/C=C/C(=O)OC[C@@]1([C@@H]2[C@@H](C=CO[C@H]2O[C@H]2[C@@H]([C@H]([C@@H]([C@@H](CO)O2)O)O)O)[C@@H]([C@@H]1O)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   526.17 Volume:   487.888
?
Van der Waals volume.
Dense:   1.078 LogP:   -0.242
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   0.528
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -1.731
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   8.0 Rigid Bonds:   24.0
TPSA:   215.83
?
Topological Polar Surface Area.
H-Bond Acceptor:   13.0
H-Bond Donor:   8.0 Rings:   4.0
Heavy Atoms:   13.0

MedChem Properties

QED Drug-Likeness Score:   0.135 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.003 Fsp3:   0.542
MCE-18:   100.649
?
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:   1
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.669 Fluc inhibitor:   0.664
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.233
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.11
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.301 Promiscuous compounds:   0.355

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.408 MDCK Permeability:   -5.243
Pgp-inhibitor:   0.0 Pgp-substrate:   0.889
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):   0.778
20% Bioavailability (F20%):   0.916 30% Bioavailability (F30%):   0.999
50% Bioavailability (F50%):   0.999

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.008
Plasma Protein Binding (PPB):   69.526% Volume Distribution (VD):   -0.362
Fu: 32.462%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.999
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.002
BSEP inhibitor:   0.001

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:   0.002
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.002
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.025
?
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):  1.415 Half-life (T1/2):  2.678

ADMET: Toxicity

hERG Blockers:  0.029 hERG Blockers (10um):  0.081
Human Hepatotoxicity (H-HT):  0.631 Drug-induced Liver Injury (DILI):  0.803
AMES Toxicity:  0.977 Rat Oral Acute Toxicity:  0.016
Maximum Recommended Daily Dose:  0.103 Skin Sensitization:  1.0
Carcinogencity:  0.316 Eye Corrosion:  0.0
Eye Irritation:  0.088 Respiratory Toxicity:  0.012
Drug-induced Neurotoxicity:  0.061 Ototoxicity:  0.942
Hematotoxicity:  0.469 Drug-induced Nephrotoxicity:  0.891
Genotoxicity:  0.59 RPMI-8226 Immunitoxicity:  0.198
A549 Cytotoxicity:  0.552 Hek293 Cytotoxicity:  0.644
BCF:   0.451
?
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:   3.137
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.862
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.957
?
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
NPO23522 Croton argyrophylloides Species Euphorbiaceae Eukaryota bark Crato, Cear State, Brazil 2005-JAN PMID[19780590]
NPO21027 Daphnia magna Species Daphniidae Eukaryota n.a. n.a. n.a. PMID[20117838]
NPO15656 Fusarium equiseti Species Nectriaceae Eukaryota n.a. n.a. n.a. PMID[25475336]
NPO25014 Achillea millefolium Species Asteraceae Eukaryota n.a. n.a. n.a. PMID[36905473]
NPO21027 Daphnia magna Species Daphniidae Eukaryota n.a. n.a. n.a. Database[Article]
NPO24762 Sporothrix flocculosa Species Ophiostomataceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO4722 Peumus boldus Species Monimiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO24125 Guatteria subsessilis Species Annonaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO15656 Fusarium equiseti Species Nectriaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO24801 Fagraea ceilanica Species Gentianaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO24648 Dryopteris sieboldii Species Dryopteridaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO23522 Croton argyrophylloides Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO24851 Aniba gigantifolia Species Lauraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO21027 Daphnia magna Species Daphniidae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO25014 Achillea millefolium Species Asteraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO4722 Peumus boldus Species Monimiaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO25014 Achillea millefolium Species Asteraceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO4722 Peumus boldus Species Monimiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO25014 Achillea millefolium Species Asteraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO25014 Achillea millefolium Species Asteraceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO24851 Aniba gigantifolia Species Lauraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO15656 Fusarium equiseti Species Nectriaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO24762 Sporothrix flocculosa Species Ophiostomataceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO4722 Peumus boldus Species Monimiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO24648 Dryopteris sieboldii Species Dryopteridaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO23522 Croton argyrophylloides Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO24125 Guatteria subsessilis Species Annonaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO24801 Fagraea ceilanica Species Gentianaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO25014 Achillea millefolium Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO21027 Daphnia magna Species Daphniidae 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 NPC307125 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
0.6867 Remote Similarity NPC254819
0.6092 Remote Similarity NPC46644
0.5844 Remote Similarity NPC52097
0.5778 Remote Similarity NPC486495
0.5753 Remote Similarity NPC11724
0.573 Remote Similarity NPC49597
0.5604 Remote Similarity NPC479970
0.5568 Remote Similarity NPC145287
0.5543 Remote Similarity NPC202391
0.5543 Remote Similarity NPC296659
0.5455 Remote Similarity NPC77922
0.5455 Remote Similarity NPC473281
0.5385 Remote Similarity NPC18789
0.5269 Remote Similarity NPC31745
0.5269 Remote Similarity NPC220936
0.5208 Remote Similarity NPC229548
0.5161 Remote Similarity NPC96599
0.5109 Remote Similarity NPC476869
0.5065 Remote Similarity NPC232880
0.5059 Remote Similarity NPC477293
0.5051 Remote Similarity NPC184464
0.5051 Remote Similarity NPC251062

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC307125 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