Natural Product: NPC470158

Natural Product IDNPC470158
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
OQECEDMGMJXABR-HWHZAUSRSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL1796140
PubChem CID 44598262
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 OQECEDMGMJXABR-HWHZAUSRSA-N
Standard InCHI InChI=1S/C26H34O6/c1-16-11-13-20(30-17(2)27)25(5)21(15-19-23(29)26(16,25)32-24(19,3)4)31-22(28)14-12-18-9-7-6-8-10-18/h6-10,12,14,16,19-21,23,29H,11,13,15H2,1-5H3/b14-12+/t16-,19-,20+,21+,23-,25+,26-/m1/s1
SMILES CC(=O)O[C@H]1CC[C@H]([C@@]23[C@]1(C)[C@@H](OC(=O)/C=C/c1ccccc1)C[C@H]([C@H]3O)C(O2)(C)C)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   442.24 Volume:   460.949
?
Van der Waals volume.
Dense:   0.959 LogP:   3.227
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.151
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.63
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   6.0 Rigid Bonds:   23.0
TPSA:   82.06
?
Topological Polar Surface Area.
H-Bond Acceptor:   6.0
H-Bond Donor:   1.0 Rings:   4.0
Heavy Atoms:   6.0

MedChem Properties

QED Drug-Likeness Score:   0.562 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.601 Fsp3:   0.615
MCE-18:   131.19
?
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:   0.729 Fluc inhibitor:   0.858
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.05
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.152
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.085 Promiscuous compounds:   0.407

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.144 MDCK Permeability:   -4.879
Pgp-inhibitor:   0.995 Pgp-substrate:   0.01
PAMPA:   0.173
?
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):   0.003
20% Bioavailability (F20%):   0.716 30% Bioavailability (F30%):   0.838
50% Bioavailability (F50%):   0.988

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.628 MRP1:   0.462
Plasma Protein Binding (PPB):   96.116% Volume Distribution (VD):   -0.396
Fu: 3.497%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.999
OATP1B3 inhibitor:   0.993 BCRP inhibitor:   0.1
BSEP inhibitor:   0.995

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.137
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.526
CYP2C9-inhibitor:   0.085 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.996
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.154
?
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):  9.966 Half-life (T1/2):  0.856

ADMET: Toxicity

hERG Blockers:  0.073 hERG Blockers (10um):  0.445
Human Hepatotoxicity (H-HT):  0.638 Drug-induced Liver Injury (DILI):  0.782
AMES Toxicity:  0.738 Rat Oral Acute Toxicity:  0.228
Maximum Recommended Daily Dose:  0.605 Skin Sensitization:  0.996
Carcinogencity:  0.706 Eye Corrosion:  0.024
Eye Irritation:  0.828 Respiratory Toxicity:  0.203
Drug-induced Neurotoxicity:  0.365 Ototoxicity:  0.358
Hematotoxicity:  0.181 Drug-induced Nephrotoxicity:  0.768
Genotoxicity:  0.77 RPMI-8226 Immunitoxicity:  0.064
A549 Cytotoxicity:  0.149 Hek293 Cytotoxicity:  0.505
BCF:   0.723
?
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:   3.569
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.307
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.714
?
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
NPO15653 Celastrus vulcanicola Species Celastraceae Eukaryota n.a. n.a. n.a. PMID[18616221]
NPO15653 Celastrus vulcanicola Species Celastraceae Eukaryota stems Montecristo National Park, province of Santa Ana, El Salvador 2004-JUN PMID[20873773]
NPO15653 Celastrus vulcanicola Species Celastraceae Eukaryota n.a. n.a. n.a. PMID[21419633]
NPO15653 Celastrus vulcanicola Species Celastraceae Eukaryota n.a. n.a. n.a. PMID[25695368]
NPO15653 Celastrus vulcanicola 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
NPT88 Organism Mycobacterium tuberculosis Mycobacterium tuberculosis MIC = 25.0 ug.mL-1 DrugMatrix in vivo data: Pathology
NPT790 Organism Mycobacterium tuberculosis H37Rv Mycobacterium tuberculosis H37Rv MIC > 25.0 ug.mL-1 Open TG-GATES in vivo data: Biochemistry

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 NPC470158 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
0.6667 Remote Similarity NPC100913
0.6622 Remote Similarity NPC29704
0.6622 Remote Similarity NPC470157
0.6471 Remote Similarity NPC84129
0.6447 Remote Similarity NPC483866
0.6377 Remote Similarity NPC311175
0.6267 Remote Similarity NPC476972
0.575 Remote Similarity NPC174982
0.5679 Remote Similarity NPC171525
0.5385 Remote Similarity NPC210591
0.5244 Remote Similarity NPC70403
0.5244 Remote Similarity NPC177940
0.5135 Remote Similarity NPC118080
0.5132 Remote Similarity NPC475933
0.5125 Remote Similarity NPC488909
0.5125 Remote Similarity NPC488905
0.5067 Remote Similarity NPC37641
0.5067 Remote Similarity NPC114927
0.5057 Remote Similarity NPC476973

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC470158 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