Natural Product: NPC493850

Natural Product IDNPC493850
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.
Labrenzide
IUPAC Name 4-[(1~{R},2~{S})-2-hexylcyclopropyl]butanoic acid
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 MQWFOICQHNOBOJ-NWDGAFQWSA-N
Standard InCHI InChI=1S/C13H24O2/c1-2-3-4-5-7-11-10-12(11)8-6-9-13(14)15/h11-12H,2-10H2,1H3,(H,14,15)/t11-,12+/m0/s1
SMILES CCCCCC[C@H]1C[C@H]1CCCC(=O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   212.18 Volume:   239.792
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Van der Waals volume.
Dense:   0.885 LogP:   4.421
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.188
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.688
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The logarithm of aqueous solubility value.
Rotatable Bonds:   9.0 Rigid Bonds:   4.0
TPSA:   37.3
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Topological Polar Surface Area.
H-Bond Acceptor:   2.0
H-Bond Donor:   1.0 Rings:   1.0
Heavy Atoms:   2.0

MedChem Properties

QED Drug-Likeness Score:   0.589 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   2.918 Fsp3:   0.923
MCE-18:   13.44
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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:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.013 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:   0.009
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.004
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.978 Promiscuous compounds:   0.59

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.057 MDCK Permeability:   -4.762
Pgp-inhibitor:   0.0 Pgp-substrate:   0.022
PAMPA:   0.508
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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):   0.183
20% Bioavailability (F20%):   0.124 30% Bioavailability (F30%):   0.711
50% Bioavailability (F50%):   0.294

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.046 MRP1:   0.915
Plasma Protein Binding (PPB):   95.707% Volume Distribution (VD):   0.106
Fu: 4.637%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.683
OATP1B3 inhibitor:   0.999 BCRP inhibitor:   0.032
BSEP inhibitor:   0.06

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.004
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.486
CYP2C9-inhibitor:   0.888 CYP2C9-substrate:   0.324
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.008 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.005 CYP2C8-inhibitor:   0.981
HLM stability:   0.0
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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):  3.029 Half-life (T1/2):  1.026

ADMET: Toxicity

hERG Blockers:  0.045 hERG Blockers (10um):  0.195
Human Hepatotoxicity (H-HT):  0.547 Drug-induced Liver Injury (DILI):  0.21
AMES Toxicity:  0.17 Rat Oral Acute Toxicity:  0.132
Maximum Recommended Daily Dose:  0.114 Skin Sensitization:  0.74
Carcinogencity:  0.406 Eye Corrosion:  0.954
Eye Irritation:  0.996 Respiratory Toxicity:  0.707
Drug-induced Neurotoxicity:  0.062 Ototoxicity:  0.5
Hematotoxicity:  0.388 Drug-induced Nephrotoxicity:  0.41
Genotoxicity:  0.001 RPMI-8226 Immunitoxicity:  0.031
A549 Cytotoxicity:  0.029 Hek293 Cytotoxicity:  0.033
BCF:   1.249
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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:   4.061
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.293
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.395
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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
NPO52027 Labrenzia sp. Species Stappiaceae Bacteria n.a. n.a. n.a. Database[COCONUT]
NPO53859 Labrenzia sp. 011 Species Stappiaceae Bacteria n.a. n.a. n.a. Database[COCONUT]

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 NPC493850 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
0.6207 Remote Similarity NPC171736
0.6207 Remote Similarity NPC301585
0.6207 Remote Similarity NPC261080
0.6207 Remote Similarity NPC132565
0.6207 Remote Similarity NPC209970
0.6207 Remote Similarity NPC216630
0.6207 Remote Similarity NPC201844
0.6207 Remote Similarity NPC301696
0.6207 Remote Similarity NPC196924
0.6207 Remote Similarity NPC307783
0.6207 Remote Similarity NPC154186
0.6207 Remote Similarity NPC149184
0.6207 Remote Similarity NPC279026
0.6207 Remote Similarity NPC113928
0.6207 Remote Similarity NPC14227
0.6129 Remote Similarity NPC55023
0.6129 Remote Similarity NPC21844
0.5862 Remote Similarity NPC155263
0.5758 Remote Similarity NPC314679
0.5556 Remote Similarity NPC174368
0.5517 Remote Similarity NPC175342
0.5172 Remote Similarity NPC214610
0.5172 Remote Similarity NPC118968
0.5172 Remote Similarity NPC183424
0.5172 Remote Similarity NPC294085
0.5143 Remote Similarity NPC129972
0.5143 Remote Similarity NPC424
0.5143 Remote Similarity NPC36061
0.5143 Remote Similarity NPC69510
0.5143 Remote Similarity NPC77272
0.5143 Remote Similarity NPC8219
0.5143 Remote Similarity NPC301528
0.5143 Remote Similarity NPC290563
0.5143 Remote Similarity NPC139029
0.5143 Remote Similarity NPC281972
0.5143 Remote Similarity NPC71317
0.5143 Remote Similarity NPC92114
0.5143 Remote Similarity NPC261831
0.5143 Remote Similarity NPC87564
0.5143 Remote Similarity NPC163746
0.5143 Remote Similarity NPC103286

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC493850 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
0.6207 Remote Similarity NPD2270 Pre-clinical
0.6207 Remote Similarity NPD633 Phase 3
0.6207 Remote Similarity NPD9448 Phase 2
0.575 Remote Similarity NPD3198 Phase 2
0.5172 Remote Similarity NPD9655 Phase 4
0.5143 Remote Similarity NPD3195 Phase 2
0.5143 Remote Similarity NPD3196 Approved
0.5122 Remote Similarity NPD3186 Phase 1

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