Natural Product: NPC516754

Natural Product IDNPC516754
Common Name
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The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
(1~{S},2~{R},4~{R},7~{E},11~{E},14~{S},15~{R})-14-hydroxy-4,8,12-trimethyl-16-methylene-3,18-dioxatricyclo[13.3.0.0^{2,4}]octadeca-7,11-dien-17-one
IUPAC Name (1~{S},2~{R},4~{R},7~{E},11~{E},14~{S},15~{R})-14-hydroxy-4,8,12-trimethyl-16-methylene-3,18-dioxatricyclo[13.3.0.0^{2,4}]octadeca-7,11-dien-17-one
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID n.a.
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]

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 ARVXFCIVVWNIRM-CRDNPJFJSA-N
Standard InCHI InChI=1S/C20H28O4/c1-12-7-5-8-13(2)11-15(21)16-14(3)19(22)23-17(16)18-20(4,24-18)10-6-9-12/h8-9,15-18,21H,3,5-7,10-11H2,1-2,4H3/b12-9+,13-8+/t15-,16+,17-,18+,20+/m0/s1
SMILES C=C1C(=O)O[C@H]2[C@H]1[C@@H](O)C/C(C)=C/CC/C(C)=C/CC[C@@]1(C)O[C@H]21

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   332.2 Volume:   353.422
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Van der Waals volume.
Dense:   0.94 LogP:   3.157
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.006
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.63
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The logarithm of aqueous solubility value.
Rotatable Bonds:   0.0 Rigid Bonds:   22.0
TPSA:   59.06
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Topological Polar Surface Area.
H-Bond Acceptor:   4.0
H-Bond Donor:   1.0 Rings:   3.0
Heavy Atoms:   4.0

MedChem Properties

QED Drug-Likeness Score:   0.319 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.008 Fsp3:   0.65
MCE-18:   52.121
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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:   Rejected
Golden Triangle Rule:   Rejected BMS Rule:   1
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.532 Fluc inhibitor:   0.001
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.033
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.057
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.355 Promiscuous compounds:   0.31

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.04 MDCK Permeability:   -4.936
Pgp-inhibitor:   0.969 Pgp-substrate:   0.005
PAMPA:   0.058
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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):   0.003
20% Bioavailability (F20%):   0.044 30% Bioavailability (F30%):   0.425
50% Bioavailability (F50%):   0.925

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.602
Plasma Protein Binding (PPB):   70.485% Volume Distribution (VD):   -0.065
Fu: 19.896%
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The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.003
BSEP inhibitor:   1.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.005 CYP1A2-substrate:   0.014
CYP2C19-inhibitor:   0.561 CYP2C19-substrate:   0.008
CYP2C9-inhibitor:   0.283 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.37 CYP2D6-substrate:   0.055
CYP3A4-inhibitor:   0.221 CYP3A4-substrate:   0.918
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.837
HLM stability:   0.421
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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):  9.24 Half-life (T1/2):  1.623

ADMET: Toxicity

hERG Blockers:  0.019 hERG Blockers (10um):  0.077
Human Hepatotoxicity (H-HT):  0.581 Drug-induced Liver Injury (DILI):  0.735
AMES Toxicity:  0.179 Rat Oral Acute Toxicity:  0.072
Maximum Recommended Daily Dose:  0.189 Skin Sensitization:  0.985
Carcinogencity:  0.227 Eye Corrosion:  0.158
Eye Irritation:  0.974 Respiratory Toxicity:  0.028
Drug-induced Neurotoxicity:  0.156 Ototoxicity:  0.45
Hematotoxicity:  0.269 Drug-induced Nephrotoxicity:  0.715
Genotoxicity:  0.029 RPMI-8226 Immunitoxicity:  0.079
A549 Cytotoxicity:  0.029 Hek293 Cytotoxicity:  0.173
BCF:   1.551
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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:   4.225
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.962
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.342
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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
NPO27251 Lobophytum crassum Species Alcyoniidae Eukaryota n.a. south china sea n.a. PMID[18512986]
NPO27251 Lobophytum crassum Species Alcyoniidae Eukaryota n.a. n.a. n.a. PMID[18973388]
NPO27251 Lobophytum crassum Species Alcyoniidae Eukaryota n.a. n.a. n.a. PMID[9548852]
NPO27251 Lobophytum crassum Species Alcyoniidae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO27251 Lobophytum crassum Species Alcyoniidae 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 NPC516754 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
0.6415 Remote Similarity NPC38468
0.6415 Remote Similarity NPC192678
0.6415 Remote Similarity NPC319795
0.6415 Remote Similarity NPC50362
0.6415 Remote Similarity NPC488056
0.6415 Remote Similarity NPC605079
0.6316 Remote Similarity NPC605339
0.5962 Remote Similarity NPC167881
0.5962 Remote Similarity NPC98557
0.5789 Remote Similarity NPC303942
0.5789 Remote Similarity NPC57405
0.5789 Remote Similarity NPC608845
0.5636 Remote Similarity NPC24417
0.5614 Remote Similarity NPC151770
0.5484 Remote Similarity NPC474035
0.5484 Remote Similarity NPC81386
0.5455 Remote Similarity NPC207188
0.5439 Remote Similarity NPC49342
0.5439 Remote Similarity NPC251385
0.5312 Remote Similarity NPC288876
0.5246 Remote Similarity NPC481908
0.5246 Remote Similarity NPC481993
0.5238 Remote Similarity NPC473859
0.5156 Remote Similarity NPC70235
0.5088 Remote Similarity NPC229825
0.5088 Remote Similarity NPC602858
0.5079 Remote Similarity NPC231889
0.5079 Remote Similarity NPC475659

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC516754 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
0.6415 Remote Similarity NPD1733 Clinical (unspecified phase)

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