Natural Product: NPC71511

Natural Product IDNPC71511
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
NSOPDUMLFDNMEX-AFJQJTPPSA-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:0003909] Fatty Acyls
        • [CHEMONTID:0000324] Fatty acid esters

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 NSOPDUMLFDNMEX-AFJQJTPPSA-N
Standard InCHI InChI=1S/C18H32O2/c1-3-5-6-7-8-9-10-11-12-13-14-15-16-17-18(19)20-4-2/h5-6,8-9H,3-4,7,10-17H2,1-2H3/b6-5-,9-8-
SMILES CC/C=CC/C=CCCCCCCCCC(=O)OCC

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   280.24 Volume:   329.555
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Van der Waals volume.
Dense:   0.85 LogP:   6.231
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.943
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -6.037
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The logarithm of aqueous solubility value.
Rotatable Bonds:   14.0 Rigid Bonds:   3.0
TPSA:   26.3
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Topological Polar Surface Area.
H-Bond Acceptor:   2.0
H-Bond Donor:   0.0 Rings:   0.0
Heavy Atoms:   2.0

MedChem Properties

QED Drug-Likeness Score:   0.25 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   2.339 Fsp3:   0.722
MCE-18:   0.0
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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:   1
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.074 Fluc inhibitor:   0.066
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.003
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.009
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.997 Promiscuous compounds:   0.314

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.999 MDCK Permeability:   -4.718
Pgp-inhibitor:   0.782 Pgp-substrate:   0.001
PAMPA:   0.001
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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):   0.002
20% Bioavailability (F20%):   0.584 30% Bioavailability (F30%):   0.598
50% Bioavailability (F50%):   0.932

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.008 MRP1:   1.0
Plasma Protein Binding (PPB):   98.422% Volume Distribution (VD):   -0.363
Fu: 1.243%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.002
OATP1B3 inhibitor:   0.72 BCRP inhibitor:   0.287
BSEP inhibitor:   1.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.002 CYP1A2-substrate:   1.0
CYP2C19-inhibitor:   0.008 CYP2C19-substrate:   0.913
CYP2C9-inhibitor:   0.904 CYP2C9-substrate:   0.008
CYP2D6-inhibitor:   0.201 CYP2D6-substrate:   0.995
CYP3A4-inhibitor:   0.002 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.922 CYP2C8-inhibitor:   1.0
HLM stability:   0.783
?
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):  6.475 Half-life (T1/2):  0.161

ADMET: Toxicity

hERG Blockers:  0.248 hERG Blockers (10um):  0.677
Human Hepatotoxicity (H-HT):  0.058 Drug-induced Liver Injury (DILI):  0.0
AMES Toxicity:  0.361 Rat Oral Acute Toxicity:  0.04
Maximum Recommended Daily Dose:  0.003 Skin Sensitization:  1.0
Carcinogencity:  0.028 Eye Corrosion:  1.0
Eye Irritation:  1.0 Respiratory Toxicity:  0.859
Drug-induced Neurotoxicity:  0.022 Ototoxicity:  0.058
Hematotoxicity:  0.001 Drug-induced Nephrotoxicity:  0.346
Genotoxicity:  0.0 RPMI-8226 Immunitoxicity:  0.027
A549 Cytotoxicity:  0.075 Hek293 Cytotoxicity:  0.007
BCF:   1.546
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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:   4.667
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.984
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.164
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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
NPO3375 Cystoseira barbata Species Sargassaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO10508 Gossypium sturtianum Species Malvaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO1144 Peucedanum alsaticum Species Apiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO8359 Phascolosoma vulgare Species Phascolosomatidae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO7791 Rhododendron makinoi Species Ericaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO10508 Gossypium sturtianum Species Malvaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO1144 Peucedanum alsaticum Species Apiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO7791 Rhododendron makinoi Species Ericaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO8359 Phascolosoma vulgare Species Phascolosomatidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO3375 Cystoseira barbata Species Sargassaceae 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

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 NPC71511 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 NPC10316
1.0 High Similarity NPC200845
0.871 High Similarity NPC28779
0.7742 Intermediate Similarity NPC128061
0.75 Intermediate Similarity NPC139545
0.7297 Intermediate Similarity NPC271921
0.675 Remote Similarity NPC473772
0.6579 Remote Similarity NPC475443
0.6579 Remote Similarity NPC473829
0.6471 Remote Similarity NPC39633
0.641 Remote Similarity NPC330426
0.641 Remote Similarity NPC127091
0.641 Remote Similarity NPC22101
0.625 Remote Similarity NPC54925
0.6207 Remote Similarity NPC53541
0.6111 Remote Similarity NPC223677
0.6 Remote Similarity NPC71761
0.5806 Remote Similarity NPC250028
0.5806 Remote Similarity NPC236579
0.5806 Remote Similarity NPC80234
0.5806 Remote Similarity NPC203531
0.5806 Remote Similarity NPC256163
0.5806 Remote Similarity NPC40597
0.5789 Remote Similarity NPC277597
0.575 Remote Similarity NPC143857
0.575 Remote Similarity NPC321919
0.575 Remote Similarity NPC229252
0.5682 Remote Similarity NPC473559
0.5682 Remote Similarity NPC324981
0.5641 Remote Similarity NPC104537
0.5588 Remote Similarity NPC309606
0.5278 Remote Similarity NPC207815
0.5135 Remote Similarity NPC163345

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC71511 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
0.8667 High Similarity NPD5343 Phase 4
0.8125 Intermediate Similarity NPD6096 Phase 4
0.7419 Intermediate Similarity NPD6097 Approved

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