Natural Product: NPC166383

Natural Product IDNPC166383
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
UMRPOGLIBDXFNK-WSKRMRRTSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID n.a.
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001553] Triterpenoids

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 UMRPOGLIBDXFNK-WSKRMRRTSA-N
Standard InCHI InChI=1S/C32H52O2/c1-21(33)34-26-13-14-30(7)24(28(26,4)5)12-15-32(9)25(30)11-10-22-23-20-27(2,3)16-17-29(23,6)18-19-31(22,32)8/h10,23-26H,11-20H2,1-9H3/t23-,24+,25+,26-,29+,30-,31+,32+/m0/s1
SMILES CC(=O)O[C@H]1CC[C@@]2(C)[C@H](CC[C@]3(C)[C@@H]2CC=C2[C@@H]4CC(C)(C)CC[C@]4(C)CC[C@@]32C)C1(C)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   468.4 Volume:   531.553
?
Van der Waals volume.
Dense:   0.881 LogP:   4.79
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.093
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.754
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   2.0 Rigid Bonds:   27.0
TPSA:   26.3
?
Topological Polar Surface Area.
H-Bond Acceptor:   2.0
H-Bond Donor:   0.0 Rings:   5.0
Heavy Atoms:   2.0

MedChem Properties

QED Drug-Likeness Score:   0.284 GASA:   0.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.587 Fsp3:   0.906
MCE-18:   103.574
?
MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Rejected
Pfizer Rule:   Accepted GSK Rule:   Accepted
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.911 Fluc inhibitor:   0.001
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.026
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.0
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.751 Promiscuous compounds:   0.307

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.195 MDCK Permeability:   -4.953
Pgp-inhibitor:   1.0 Pgp-substrate:   0.002
PAMPA:   0.018
?
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%):   0.847 30% Bioavailability (F30%):   0.764
50% Bioavailability (F50%):   0.991

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.405 MRP1:   0.976
Plasma Protein Binding (PPB):   97.791% Volume Distribution (VD):   0.091
Fu: 2.055%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.974 BCRP inhibitor:   0.026
BSEP inhibitor:   1.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.198 CYP1A2-substrate:   0.968
CYP2C19-inhibitor:   1.0 CYP2C19-substrate:   0.873
CYP2C9-inhibitor:   0.966 CYP2C9-substrate:   0.301
CYP2D6-inhibitor:   0.073 CYP2D6-substrate:   0.763
CYP3A4-inhibitor:   0.995 CYP3A4-substrate:   0.888
CYP2B6-substrate:   0.276 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):  8.219 Half-life (T1/2):  0.165

ADMET: Toxicity

hERG Blockers:  0.073 hERG Blockers (10um):  0.37
Human Hepatotoxicity (H-HT):  0.569 Drug-induced Liver Injury (DILI):  0.505
AMES Toxicity:  0.25 Rat Oral Acute Toxicity:  0.515
Maximum Recommended Daily Dose:  0.377 Skin Sensitization:  0.767
Carcinogencity:  0.863 Eye Corrosion:  0.178
Eye Irritation:  0.506 Respiratory Toxicity:  0.495
Drug-induced Neurotoxicity:  0.149 Ototoxicity:  0.295
Hematotoxicity:  0.528 Drug-induced Nephrotoxicity:  0.57
Genotoxicity:  0.725 RPMI-8226 Immunitoxicity:  0.043
A549 Cytotoxicity:  0.396 Hek293 Cytotoxicity:  0.552
BCF:   2.946
?
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:   4.734
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.464
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.599
?
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
NPO24126 Streptomyces albus Species Streptomycetaceae Bacteria n.a. n.a. n.a. PMID[18648803]
NPO24126 Streptomyces albus Species Streptomycetaceae Bacteria n.a. n.a. n.a. PMID[19246195]
NPO24126 Streptomyces albus Species Streptomycetaceae Bacteria n.a. mycelium n.a. PMID[21718029]
NPO22667 Plectranthus amboinicus Species Lamiaceae Eukaryota n.a. n.a. n.a. PMID[24491635]
NPO14944 Ophioceras venezuelense Species n.a. Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO22667 Plectranthus amboinicus Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO13117 Asparagus setaceus Species Asparagaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO24126 Streptomyces albus Species Streptomycetaceae Bacteria n.a. n.a. n.a. Database[COCONUT]
NPO13117 Asparagus setaceus Species Asparagaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO4739 Prunus yedoensis Species Rosaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO13117 Asparagus setaceus Species Asparagaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO4739 Prunus yedoensis Species Rosaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO4739 Prunus yedoensis Species Rosaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO13117 Asparagus setaceus Species Asparagaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO14944 Ophioceras venezuelense Species n.a. Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO22667 Plectranthus amboinicus Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO4739 Prunus yedoensis Species Rosaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO1502 Taverniera aegyptiaca Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO24126 Streptomyces albus Species Streptomycetaceae Bacteria 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 NPC166383 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
1.0 High Similarity NPC195334
0.8704 High Similarity NPC224145
0.8421 Intermediate Similarity NPC10005
0.8421 Intermediate Similarity NPC91525
0.8246 Intermediate Similarity NPC162107
0.8246 Intermediate Similarity NPC46912
0.8103 Intermediate Similarity NPC191965
0.7966 Intermediate Similarity NPC286786
0.7544 Intermediate Similarity NPC290495
0.7049 Intermediate Similarity NPC137306
0.7 Intermediate Similarity NPC480944
0.6818 Remote Similarity NPC488520
0.6615 Remote Similarity NPC488523
0.6462 Remote Similarity NPC23621
0.6441 Remote Similarity NPC142754
0.6418 Remote Similarity NPC488525
0.6406 Remote Similarity NPC329943
0.6364 Remote Similarity NPC120840
0.6271 Remote Similarity NPC290598
0.6271 Remote Similarity NPC30590
0.625 Remote Similarity NPC127855
0.6154 Remote Similarity NPC9892
0.6143 Remote Similarity NPC86368
0.6143 Remote Similarity NPC488522
0.5972 Remote Similarity NPC488524
0.5873 Remote Similarity NPC235341
0.5857 Remote Similarity NPC488521
0.5735 Remote Similarity NPC470590
0.5735 Remote Similarity NPC285184
0.5714 Remote Similarity NPC196753
0.5645 Remote Similarity NPC474488
0.5606 Remote Similarity NPC246708
0.5571 Remote Similarity NPC113989
0.5556 Remote Similarity NPC108476
0.5538 Remote Similarity NPC470588
0.5493 Remote Similarity NPC477875
0.5484 Remote Similarity NPC601696
0.5455 Remote Similarity NPC267517
0.5385 Remote Similarity NPC471899
0.5385 Remote Similarity NPC478657
0.5352 Remote Similarity NPC485589
0.5278 Remote Similarity NPC294360
0.527 Remote Similarity NPC477876
0.5231 Remote Similarity NPC101475
0.5217 Remote Similarity NPC136313
0.5147 Remote Similarity NPC231431
0.5139 Remote Similarity NPC471896
0.5075 Remote Similarity NPC3915
0.5075 Remote Similarity NPC608979
0.5068 Remote Similarity NPC78580
0.5068 Remote Similarity NPC481363
0.5067 Remote Similarity NPC485586
0.5067 Remote Similarity NPC485588
0.5059 Remote Similarity NPC214484

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC166383 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