Natural Product: NPC14499

Natural Product IDNPC14499
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Orbiculin E
IUPAC Name n.a.
Synonyms Orbiculin E
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL500858
PubChem CID 10745604
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001550] Sesquiterpenoids
          • [CHEMONTID:0002051] Agarofurans

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 CEKCSANPFZSVKO-ICWAWGCGSA-N
Standard InCHI InChI=1S/C31H36O10/c1-17-15-23(37-18(2)32)26(38-19(3)33)30(6)24(39-27(34)20-11-8-7-9-12-20)16-21-25(31(17,30)41-29(21,4)5)40-28(35)22-13-10-14-36-22/h7-14,17,21,23-26H,15-16H2,1-6H3/t17-,21-,23+,24+,25-,26+,30-,31-/m1/s1
SMILES CC(=O)O[C@H]1[C@@H](OC(=O)C)C[C@H]([C@@]23[C@]1(C)[C@@H](OC(=O)c1ccccc1)C[C@H]([C@H]3OC(=O)c1ccco1)C(O2)(C)C)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   568.23 Volume:   566.124
?
Van der Waals volume.
Dense:   1.004 LogP:   3.415
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.243
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.895
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   10.0 Rigid Bonds:   29.0
TPSA:   127.57
?
Topological Polar Surface Area.
H-Bond Acceptor:   10.0
H-Bond Donor:   0.0 Rings:   5.0
Heavy Atoms:   10.0

MedChem Properties

QED Drug-Likeness Score:   0.363 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.79 Fsp3:   0.548
MCE-18:   160.5
?
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:   Accepted BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.447 Fluc inhibitor:   0.168
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.007
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.015
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.265 Promiscuous compounds:   0.063

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.109 MDCK Permeability:   -4.706
Pgp-inhibitor:   0.98 Pgp-substrate:   0.157
PAMPA:   0.194
?
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):   0.0
20% Bioavailability (F20%):   0.29 30% Bioavailability (F30%):   0.375
50% Bioavailability (F50%):   0.98

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.579 MRP1:   0.999
Plasma Protein Binding (PPB):   90.882% Volume Distribution (VD):   -0.35
Fu: 8.098%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.992
OATP1B3 inhibitor:   0.945 BCRP inhibitor:   0.101
BSEP inhibitor:   0.984

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   1.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.813
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.383
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.001
CYP3A4-inhibitor:   0.095 CYP3A4-substrate:   0.86
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.999
?
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):  4.482 Half-life (T1/2):  0.551

ADMET: Toxicity

hERG Blockers:  0.067 hERG Blockers (10um):  0.462
Human Hepatotoxicity (H-HT):  0.129 Drug-induced Liver Injury (DILI):  0.956
AMES Toxicity:  0.506 Rat Oral Acute Toxicity:  0.306
Maximum Recommended Daily Dose:  0.244 Skin Sensitization:  0.964
Carcinogencity:  0.784 Eye Corrosion:  0.001
Eye Irritation:  0.372 Respiratory Toxicity:  0.088
Drug-induced Neurotoxicity:  0.308 Ototoxicity:  0.191
Hematotoxicity:  0.07 Drug-induced Nephrotoxicity:  0.377
Genotoxicity:  0.627 RPMI-8226 Immunitoxicity:  0.057
A549 Cytotoxicity:  0.328 Hek293 Cytotoxicity:  0.411
BCF:   0.686
?
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:   3.608
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.089
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.685
?
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
NPO6349 Celastrus orbiculatus Species Celastraceae Eukaryota n.a. n.a. n.a. PMID[10346948]
NPO6349 Celastrus orbiculatus Species Celastraceae Eukaryota n.a. root n.a. PMID[10346948]
NPO6349 Celastrus orbiculatus Species Celastraceae Eukaryota n.a. n.a. n.a. PMID[11170672]
NPO6349 Celastrus orbiculatus Species Celastraceae Eukaryota n.a. root n.a. PMID[11809076]
NPO6349 Celastrus orbiculatus Species Celastraceae Eukaryota Seeds n.a. n.a. PMID[18507472]
NPO6349 Celastrus orbiculatus Species Celastraceae Eukaryota n.a. n.a. n.a. PMID[23421714]
NPO6349 Celastrus orbiculatus Species Celastraceae Eukaryota n.a. n.a. n.a. PMID[27791375]
NPO6349 Celastrus orbiculatus Species Celastraceae Eukaryota n.a. root n.a. PMID[9461657]
NPO6349 Celastrus orbiculatus Species Celastraceae Eukaryota n.a. n.a. n.a. PMID[9461657]
NPO6349 Celastrus orbiculatus Species Celastraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO6349 Celastrus orbiculatus Species Celastraceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO6349 Celastrus orbiculatus Species Celastraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO6349 Celastrus orbiculatus Species Celastraceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO6349 Celastrus orbiculatus Species Celastraceae 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
NPT113 Cell line RAW264.7 Mus musculus IC50 > 300000.0 nM PMID[11809076]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. IC50 = 28300.0 nM PMID[10346948]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. IC50 = 33100.0 nM PMID[10346948]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. IC50 = 500.0 nM PMID[10346948]
NPT2 Others Unspecified n.a. Ratio IC50 = 66.2 n.a. PMID[10346948]
NPT2 Others Unspecified n.a. Ratio IC50 = 1.8 n.a. PMID[10346948]
NPT2 Others Unspecified n.a. Ratio IC50 = 1.6 n.a. PMID[10346948]
NPT2 Others Unspecified n.a. Ratio IC50 = 2.6 n.a. PMID[10346948]

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 NPC14499 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
0.942 High Similarity NPC88593
0.7733 Intermediate Similarity NPC475039
0.7714 Intermediate Similarity NPC159520
0.7647 Intermediate Similarity NPC200592
0.7647 Intermediate Similarity NPC610542
0.7391 Intermediate Similarity NPC195647
0.7273 Intermediate Similarity NPC476035
0.7143 Intermediate Similarity NPC270498
0.6901 Remote Similarity NPC473081
0.6829 Remote Similarity NPC483870
0.6375 Remote Similarity NPC607428
0.6282 Remote Similarity NPC473673
0.6203 Remote Similarity NPC472574
0.6184 Remote Similarity NPC1408
0.6173 Remote Similarity NPC473112
0.6154 Remote Similarity NPC177340
0.6118 Remote Similarity NPC483874
0.6092 Remote Similarity NPC483869
0.6067 Remote Similarity NPC483868
0.5949 Remote Similarity NPC43241
0.5823 Remote Similarity NPC479047
0.5823 Remote Similarity NPC291638
0.575 Remote Similarity NPC67777
0.5682 Remote Similarity NPC75600
0.5682 Remote Similarity NPC483884
0.5658 Remote Similarity NPC283375
0.5632 Remote Similarity NPC483872
0.5625 Remote Similarity NPC191082
0.5595 Remote Similarity NPC473613
0.5595 Remote Similarity NPC473085
0.5581 Remote Similarity NPC608007
0.5556 Remote Similarity NPC139067
0.5513 Remote Similarity NPC481047
0.5513 Remote Similarity NPC481045
0.5506 Remote Similarity NPC483871
0.5465 Remote Similarity NPC483875
0.5455 Remote Similarity NPC183122
0.5455 Remote Similarity NPC474608
0.5432 Remote Similarity NPC4341
0.5422 Remote Similarity NPC479044
0.5393 Remote Similarity NPC56953
0.5244 Remote Similarity NPC483883
0.5244 Remote Similarity NPC151585
0.5165 Remote Similarity NPC483864
0.5122 Remote Similarity NPC70973
0.5122 Remote Similarity NPC163087
0.5116 Remote Similarity NPC184747
0.5114 Remote Similarity NPC483887
0.5114 Remote Similarity NPC158020
0.5063 Remote Similarity NPC481066
0.506 Remote Similarity NPC246841
0.5057 Remote Similarity NPC36021

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC14499 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