Natural Product: NPC10005

Natural Product IDNPC10005
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Olean-12(13)En-3Beta-Hexadecanoate
IUPAC Name [(3S,4aR,6aR,6bS,8aR,12aS,14aR,14bR)-4,4,6a,6b,8a,11,11,14b-octamethyl-1,2,3,4a,5,6,7,8,9,10,12,12a,14,14a-tetradecahydropicen-3-yl] hexadecanoate
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL1170486
PubChem CID 13915595
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 VFSRKCNYYCXRGI-AQLGBOJESA-N
Standard InCHI InChI=1S/C46H80O2/c1-10-11-12-13-14-15-16-17-18-19-20-21-22-23-40(47)48-39-27-28-44(7)37(42(39,4)5)26-29-46(9)38(44)25-24-35-36-34-41(2,3)30-31-43(36,6)32-33-45(35,46)8/h24,36-39H,10-23,25-34H2,1-9H3/t36-,37+,38-,39+,43-,44+,45-,46-/m1/s1
SMILES CCCCCCCCCCCCCCCC(=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:   664.62 Volume:   773.697
?
Van der Waals volume.
Dense:   0.859 LogP:   13.235
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   6.728
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -12.535
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   16.0 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:   0.099 GASA:   0.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.716 Fsp3:   0.935
MCE-18:   95.528
?
MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Accepted
Pfizer Rule:   Accepted GSK Rule:   Accepted
Golden Triangle Rule:   Accepted BMS Rule:   1
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.978 Fluc inhibitor:   0.006
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.002
?
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:   0.764 Promiscuous compounds:   0.305

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.068 MDCK Permeability:   -4.783
Pgp-inhibitor:   0.977 Pgp-substrate:   0.0
PAMPA:   0.0
?
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):   0.005
20% Bioavailability (F20%):   0.997 30% Bioavailability (F30%):   0.996
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.459 MRP1:   0.913
Plasma Protein Binding (PPB):   100.245% Volume Distribution (VD):   1.456
Fu: 0.978%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.994
BSEP inhibitor:   1.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   1.0
CYP2C19-inhibitor:   0.996 CYP2C19-substrate:   0.596
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.984
CYP2D6-inhibitor:   0.031 CYP2D6-substrate:   1.0
CYP3A4-inhibitor:   1.0 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.981
?
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):  6.122 Half-life (T1/2):  0.687

ADMET: Toxicity

hERG Blockers:  0.641 hERG Blockers (10um):  0.82
Human Hepatotoxicity (H-HT):  0.612 Drug-induced Liver Injury (DILI):  0.201
AMES Toxicity:  0.023 Rat Oral Acute Toxicity:  0.237
Maximum Recommended Daily Dose:  0.703 Skin Sensitization:  0.983
Carcinogencity:  0.697 Eye Corrosion:  0.081
Eye Irritation:  0.515 Respiratory Toxicity:  0.941
Drug-induced Neurotoxicity:  0.012 Ototoxicity:  0.301
Hematotoxicity:  0.258 Drug-induced Nephrotoxicity:  0.498
Genotoxicity:  0.0 RPMI-8226 Immunitoxicity:  0.049
A549 Cytotoxicity:  0.811 Hek293 Cytotoxicity:  0.671
BCF:   1.021
?
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:   5.91
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   7.743
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   7.947
?
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
NPO20954 Haloxylon salicornicum Species Chenopodiaceae Eukaryota whole plant Cholistan desert near district Bahawalpur (Punjab), Pakistan 2003-Oct PMID[20542692]
NPO20954 Haloxylon salicornicum Species Chenopodiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO20954 Haloxylon salicornicum Species Chenopodiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO20954 Haloxylon salicornicum Species Chenopodiaceae 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
NPT88 Organism Mycobacterium tuberculosis Mycobacterium tuberculosis MIC = 100.0 ug.mL-1 PMID[10650093]

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 NPC10005 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 NPC91525
0.8421 Intermediate Similarity NPC195334
0.7742 Intermediate Similarity NPC329943
0.746 Intermediate Similarity NPC9892
0.7377 Intermediate Similarity NPC224145
0.7353 Intermediate Similarity NPC86368
0.7164 Intermediate Similarity NPC488525
0.7031 Intermediate Similarity NPC162107
0.7031 Intermediate Similarity NPC46912
0.6923 Remote Similarity NPC191965
0.6866 Remote Similarity NPC488523
0.6818 Remote Similarity NPC286786
0.6667 Remote Similarity NPC488524
0.6406 Remote Similarity NPC290495
0.6389 Remote Similarity NPC488522
0.6164 Remote Similarity NPC485586
0.6029 Remote Similarity NPC137306
0.597 Remote Similarity NPC480944
0.5938 Remote Similarity NPC142754
0.589 Remote Similarity NPC488520
0.5781 Remote Similarity NPC290598
0.5781 Remote Similarity NPC30590
0.5775 Remote Similarity NPC23621
0.5479 Remote Similarity NPC120840
0.5441 Remote Similarity NPC235341
0.5352 Remote Similarity NPC127855
0.5294 Remote Similarity NPC196753
0.5224 Remote Similarity NPC474488
0.5211 Remote Similarity NPC246708
0.52 Remote Similarity NPC485589
0.5181 Remote Similarity NPC477877
0.5143 Remote Similarity NPC470588
0.5075 Remote Similarity NPC601696
0.507 Remote Similarity NPC267517
0.507 Remote Similarity NPC611062
0.5065 Remote Similarity NPC488521

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC10005 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