Natural Product: NPC470154

Natural Product IDNPC470154
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
XFGATWSZJCRYIZ-FLWKJDGESA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL1796009
PubChem CID 56660075
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 XFGATWSZJCRYIZ-FLWKJDGESA-N
Standard InCHI InChI=1S/C23H34O10/c1-11(24)29-15-9-10-21(7,28)23-18(31-13(3)26)16(20(5,6)33-23)17(30-12(2)25)19(22(15,23)8)32-14(4)27/h15-19,28H,9-10H2,1-8H3/t15-,16+,17-,18+,19-,21-,22-,23-/m0/s1
SMILES CC(=O)O[C@H]1[C@@H]2[C@@H](OC(=O)C)[C@]3([C@@]([C@H]1OC(=O)C)(C)[C@H](CC[C@]3(C)O)OC(=O)C)OC2(C)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   470.22 Volume:   458.051
?
Van der Waals volume.
Dense:   1.027 LogP:   0.672
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.224
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.48
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The logarithm of aqueous solubility value.
Rotatable Bonds:   8.0 Rigid Bonds:   18.0
TPSA:   134.66
?
Topological Polar Surface Area.
H-Bond Acceptor:   10.0
H-Bond Donor:   1.0 Rings:   3.0
Heavy Atoms:   10.0

MedChem Properties

QED Drug-Likeness Score:   0.475 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.811 Fsp3:   0.826
MCE-18:   105.714
?
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:   0.202 Fluc inhibitor:   0.0
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.007
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.0
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.269 Promiscuous compounds:   0.694

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.143 MDCK Permeability:   -4.708
Pgp-inhibitor:   0.999 Pgp-substrate:   0.761
PAMPA:   0.716
?
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):   0.17
20% Bioavailability (F20%):   0.956 30% Bioavailability (F30%):   0.997
50% Bioavailability (F50%):   0.997

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.998
Plasma Protein Binding (PPB):   13.268% Volume Distribution (VD):   -0.505
Fu: 86.754%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.948 BCRP inhibitor:   0.039
BSEP inhibitor:   0.993

ADMET: Metabolism

CYP1A2-inhibitor:   0.001 CYP1A2-substrate:   0.063
CYP2C19-inhibitor:   0.041 CYP2C19-substrate:   0.001
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.061
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.028
CYP3A4-inhibitor:   0.98 CYP3A4-substrate:   0.003
CYP2B6-substrate:   0.006 CYP2C8-inhibitor:   0.994
HLM stability:   0.958
?
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):  3.795 Half-life (T1/2):  1.165

ADMET: Toxicity

hERG Blockers:  0.012 hERG Blockers (10um):  0.159
Human Hepatotoxicity (H-HT):  0.186 Drug-induced Liver Injury (DILI):  0.235
AMES Toxicity:  0.428 Rat Oral Acute Toxicity:  0.781
Maximum Recommended Daily Dose:  0.712 Skin Sensitization:  0.966
Carcinogencity:  0.205 Eye Corrosion:  0.162
Eye Irritation:  0.709 Respiratory Toxicity:  0.551
Drug-induced Neurotoxicity:  0.017 Ototoxicity:  0.388
Hematotoxicity:  0.159 Drug-induced Nephrotoxicity:  0.294
Genotoxicity:  0.902 RPMI-8226 Immunitoxicity:  0.067
A549 Cytotoxicity:  0.006 Hek293 Cytotoxicity:  0.015
BCF:   0.376
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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:   2.766
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.405
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.092
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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 PMID[22079864]
NPT790 Organism Mycobacterium tuberculosis H37Rv Mycobacterium tuberculosis H37Rv MIC > 25.0 ug.mL-1 PMID[22483965]

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 NPC470154 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
0.6557 Remote Similarity NPC163719
0.6557 Remote Similarity NPC95810
0.6226 Remote Similarity NPC470155
0.5775 Remote Similarity NPC125106
0.5775 Remote Similarity NPC472573
0.5479 Remote Similarity NPC301368
0.5479 Remote Similarity NPC84815
0.5441 Remote Similarity NPC57628
0.5429 Remote Similarity NPC481062
0.5429 Remote Similarity NPC481058
0.5429 Remote Similarity NPC481060
0.5342 Remote Similarity NPC610927
0.5263 Remote Similarity NPC253738
0.5211 Remote Similarity NPC294803
0.5143 Remote Similarity NPC481063

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC470154 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