Natural Product: NPC485077

Natural Product IDNPC485077
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
XTHTWHFEWGTQDM-UHFFFAOYSA-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]

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 XTHTWHFEWGTQDM-UHFFFAOYSA-N
Standard InCHI InChI=1S/C18H30O3/c1-3-5-7-9-11-13-16-17(19)14-15(21-18(16)20)12-10-8-6-4-2/h14,19H,3-13H2,1-2H3
SMILES CCCCCCCc1c(cc(CCCCCC)oc1=O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   294.22 Volume:   329.789
?
Van der Waals volume.
Dense:   0.892 LogP:   5.4
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.203
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.821
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The logarithm of aqueous solubility value.
Rotatable Bonds:   11.0 Rigid Bonds:   7.0
TPSA:   50.44
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Topological Polar Surface Area.
H-Bond Acceptor:   3.0
H-Bond Donor:   1.0 Rings:   1.0
Heavy Atoms:   3.0

MedChem Properties

QED Drug-Likeness Score:   0.585 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   2.344 Fsp3:   0.722
MCE-18:   7.0
?
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:   0.397 Fluc inhibitor:   0.143
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.236
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.279
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.813 Promiscuous compounds:   0.102

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.019 MDCK Permeability:   -4.766
Pgp-inhibitor:   0.268 Pgp-substrate:   0.021
PAMPA:   0.011
?
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):   0.08
20% Bioavailability (F20%):   0.584 30% Bioavailability (F30%):   0.859
50% Bioavailability (F50%):   0.35

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.287 MRP1:   0.975
Plasma Protein Binding (PPB):   98.374% Volume Distribution (VD):   0.952
Fu: 1.542%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.199
OATP1B3 inhibitor:   0.958 BCRP inhibitor:   0.052
BSEP inhibitor:   0.972

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   1.0
CYP2C19-inhibitor:   0.008 CYP2C19-substrate:   0.822
CYP2C9-inhibitor:   1.0 CYP2C9-substrate:   0.715
CYP2D6-inhibitor:   0.82 CYP2D6-substrate:   0.988
CYP3A4-inhibitor:   0.002 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.285 CYP2C8-inhibitor:   1.0
HLM stability:   0.991
?
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):  4.059 Half-life (T1/2):  0.446

ADMET: Toxicity

hERG Blockers:  0.457 hERG Blockers (10um):  0.862
Human Hepatotoxicity (H-HT):  0.47 Drug-induced Liver Injury (DILI):  0.157
AMES Toxicity:  0.109 Rat Oral Acute Toxicity:  0.274
Maximum Recommended Daily Dose:  0.219 Skin Sensitization:  0.929
Carcinogencity:  0.125 Eye Corrosion:  0.995
Eye Irritation:  0.997 Respiratory Toxicity:  0.969
Drug-induced Neurotoxicity:  0.035 Ototoxicity:  0.138
Hematotoxicity:  0.079 Drug-induced Nephrotoxicity:  0.12
Genotoxicity:  0.0 RPMI-8226 Immunitoxicity:  0.069
A549 Cytotoxicity:  0.565 Hek293 Cytotoxicity:  0.444
BCF:   1.573
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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:   4.736
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.632
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.231
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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
NPO30084 Pseudomonas sp. Species Pseudomonadaceae Bacteria n.a. n.a. n.a. PMID[11976110]
NPO30084 Pseudomonas sp. Species Pseudomonadaceae Bacteria n.a. n.a. n.a. PMID[12930985]
NPO30084 Pseudomonas sp. Species Pseudomonadaceae Bacteria n.a. n.a. n.a. PMID[16347440]
NPO30084 Pseudomonas sp. Species Pseudomonadaceae Bacteria n.a. n.a. n.a. PMID[2013566]
NPO30084 Pseudomonas sp. Species Pseudomonadaceae Bacteria n.a. n.a. n.a. PMID[22609920]
NPO30084 Pseudomonas sp. Species Pseudomonadaceae Bacteria n.a. n.a. n.a. PMID[25912724]
NPO30084 Pseudomonas sp. Species Pseudomonadaceae Bacteria n.a. n.a. n.a. PMID[28335605]
NPO30084 Pseudomonas sp. Species Pseudomonadaceae Bacteria n.a. n.a. n.a. PMID[28478925]
NPO30084 Pseudomonas sp. Species Pseudomonadaceae Bacteria n.a. n.a. n.a. PMID[8195105]
NPO30084 Pseudomonas sp. Species Pseudomonadaceae Bacteria n.a. n.a. n.a. PMID[9031664]
NPO30084 Pseudomonas sp. Species Pseudomonadaceae Bacteria n.a. n.a. n.a. PMID[9157190]
NPO30084 Pseudomonas sp. Species Pseudomonadaceae 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
NPT79 Organism Bacillus subtilis Bacillus subtilis IC50 = 0.7 ug.mL-1 PMID[28478925]
NPT16 Organism Staphylococcus aureus Staphylococcus aureus IC50 = 0.04 ug.mL-1 PMID[28478925]
NPT19 Organism Escherichia coli Escherichia coli IC50 > 1000.0 ug.mL-1 PMID[28478925]
NPT18 Organism Pseudomonas aeruginosa Pseudomonas aeruginosa IC50 > 1000.0 ug.mL-1 PMID[28478925]

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 NPC485077 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 NPC485078
1.0 High Similarity NPC294618
1.0 High Similarity NPC485079
0.9474 High Similarity NPC265050
0.8462 Intermediate Similarity NPC485076
0.75 Intermediate Similarity NPC485075
0.6809 Remote Similarity NPC485070
0.6809 Remote Similarity NPC485071
0.6809 Remote Similarity NPC485072
0.6341 Remote Similarity NPC485074
0.625 Remote Similarity NPC485069
0.6087 Remote Similarity NPC313444
0.5957 Remote Similarity NPC315597
0.5833 Remote Similarity NPC316029
0.5833 Remote Similarity NPC485068
0.5652 Remote Similarity NPC315115
0.56 Remote Similarity NPC316324
0.56 Remote Similarity NPC315394
0.5208 Remote Similarity NPC485067

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC485077 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