Natural Product: NPC543614

Natural Product IDNPC543614
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
DIISODECYL PHTHALATE
IUPAC Name bis(8-methylnonyl) benzene-1,2-dicarboxylate
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 ZVFDTKUVRCTHQE-UHFFFAOYSA-N
Standard InCHI InChI=1S/C28H46O4/c1-23(2)17-11-7-5-9-15-21-31-27(29)25-19-13-14-20-26(25)28(30)32-22-16-10-6-8-12-18-24(3)4/h13-14,19-20,23-24H,5-12,15-18,21-22H2,1-4H3
SMILES CC(C)CCCCCCCOC(=O)C1=CC=CC=C1C(=O)OCCCCCCCC(C)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   446.34 Volume:   506.266
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Van der Waals volume.
Dense:   0.882 LogP:   8.328
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.3
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -7.484
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The logarithm of aqueous solubility value.
Rotatable Bonds:   20.0 Rigid Bonds:   8.0
TPSA:   52.6
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Topological Polar Surface Area.
H-Bond Acceptor:   4.0
H-Bond Donor:   0.0 Rings:   1.0
Heavy Atoms:   4.0

MedChem Properties

QED Drug-Likeness Score:   0.169 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   2.154 Fsp3:   0.714
MCE-18:   9.0
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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:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.742 Fluc inhibitor:   0.584
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.008
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.096
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.809 Promiscuous compounds:   0.034

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.168 MDCK Permeability:   -4.753
Pgp-inhibitor:   0.004 Pgp-substrate:   0.0
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):   0.0
20% Bioavailability (F20%):   0.03 30% Bioavailability (F30%):   0.503
50% Bioavailability (F50%):   0.545

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.23 MRP1:   0.994
Plasma Protein Binding (PPB):   98.932% Volume Distribution (VD):   1.086
Fu: 1.401%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.349
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.028
BSEP inhibitor:   0.273

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   1.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.993
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.959
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   1.0
CYP3A4-inhibitor:   1.0 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.998
?
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):  5.817 Half-life (T1/2):  0.299

ADMET: Toxicity

hERG Blockers:  0.436 hERG Blockers (10um):  0.904
Human Hepatotoxicity (H-HT):  0.041 Drug-induced Liver Injury (DILI):  0.149
AMES Toxicity:  0.019 Rat Oral Acute Toxicity:  0.023
Maximum Recommended Daily Dose:  0.05 Skin Sensitization:  0.812
Carcinogencity:  0.854 Eye Corrosion:  0.385
Eye Irritation:  0.995 Respiratory Toxicity:  0.065
Drug-induced Neurotoxicity:  0.026 Ototoxicity:  0.09
Hematotoxicity:  0.002 Drug-induced Nephrotoxicity:  0.017
Genotoxicity:  0.0 RPMI-8226 Immunitoxicity:  0.085
A549 Cytotoxicity:  0.051 Hek293 Cytotoxicity:  0.098
BCF:   0.241
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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:   3.658
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.84
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   1.985
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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
NPO22103 Ammi visnaga Species Apiaceae Eukaryota n.a. n.a. n.a. PMID[38256954]
NPO22103 Ammi visnaga Species Apiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO45828 Streptomyces prvulus Dosmb-D105 Genus Streptomycetaceae Bacteria n.a. n.a. n.a. Database[COCONUT]
NPO22103 Ammi visnaga Species Apiaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO22103 Ammi visnaga Species Apiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO22103 Ammi visnaga Species Apiaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO22103 Ammi visnaga Species Apiaceae 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
NPO22103 Ammi visnaga Methanol extract Roots 3.66 n.a. n.a. % PMID[38256954]

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 NPC543614 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 NPC603245
0.9697 High Similarity NPC270699
0.8 Intermediate Similarity NPC93084
0.8 Intermediate Similarity NPC251854
0.8 Intermediate Similarity NPC601045
0.7429 Intermediate Similarity NPC604461
0.6857 Remote Similarity NPC10251
0.6279 Remote Similarity NPC196246
0.6154 Remote Similarity NPC78701
0.5957 Remote Similarity NPC254832
0.5957 Remote Similarity NPC29317
0.5476 Remote Similarity NPC305912
0.5476 Remote Similarity NPC1082
0.5429 Remote Similarity NPC119271
0.5405 Remote Similarity NPC214067
0.5385 Remote Similarity NPC146351
0.5385 Remote Similarity NPC608938
0.5333 Remote Similarity NPC604244
0.5098 Remote Similarity NPC71108
0.5098 Remote Similarity NPC204257
0.5098 Remote Similarity NPC267539
0.5098 Remote Similarity NPC229638
0.5098 Remote Similarity NPC176102

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC543614 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
0.6857 Remote Similarity NPD2182 Pre-clinical
0.5098 Remote Similarity NPD2672 Discontinued

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