Natural Product: NPC599987

Natural Product IDNPC599987
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
IGNZKNJYBDCCCL-UHFFFAOYSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL2299041
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 IGNZKNJYBDCCCL-UHFFFAOYSA-N
Standard InCHI InChI=1S/C18H18O6/c1-21-11-7-16(23-3)18-13(20)9-14(24-17(18)8-11)10-4-5-12(19)15(6-10)22-2/h4-8,14,19H,9H2,1-3H3
SMILES COc1cc(OC)c2c(c1)OC(c1ccc(O)c(OC)c1)CC2=O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   330.11 Volume:   328.501
?
Van der Waals volume.
Dense:   1.005 LogP:   2.506
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.795
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.299
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   4.0 Rigid Bonds:   18.0
TPSA:   74.22
?
Topological Polar Surface Area.
H-Bond Acceptor:   6.0
H-Bond Donor:   1.0 Rings:   3.0
Heavy Atoms:   6.0

MedChem Properties

QED Drug-Likeness Score:   0.928 GASA:   0.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   2.765 Fsp3:   0.278
MCE-18:   57.13
?
MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Rejected
Pfizer Rule:   Rejected GSK Rule:   Rejected
Golden Triangle Rule:   Rejected BMS Rule:   1
Chelating Alert:   1 PAINS Alert:   0
Colloidal aggregators:   0.189 Fluc inhibitor:   0.159
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.298
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.323
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.303 Promiscuous compounds:   0.026

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.965 MDCK Permeability:   -4.709
Pgp-inhibitor:   0.991 Pgp-substrate:   0.003
PAMPA:   0.005
?
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):   0.064
20% Bioavailability (F20%):   0.003 30% Bioavailability (F30%):   0.097
50% Bioavailability (F50%):   0.949

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.613
Plasma Protein Binding (PPB):   91.814% Volume Distribution (VD):   -0.174
Fu: 7.716%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.997
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.998
BSEP inhibitor:   0.995

ADMET: Metabolism

CYP1A2-inhibitor:   0.999 CYP1A2-substrate:   1.0
CYP2C19-inhibitor:   0.992 CYP2C19-substrate:   0.978
CYP2C9-inhibitor:   0.992 CYP2C9-substrate:   0.01
CYP2D6-inhibitor:   0.906 CYP2D6-substrate:   1.0
CYP3A4-inhibitor:   0.001 CYP3A4-substrate:   0.001
CYP2B6-substrate:   0.002 CYP2C8-inhibitor:   0.757
HLM stability:   0.776
?
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):  7.012 Half-life (T1/2):  1.267

ADMET: Toxicity

hERG Blockers:  0.146 hERG Blockers (10um):  0.551
Human Hepatotoxicity (H-HT):  0.631 Drug-induced Liver Injury (DILI):  0.617
AMES Toxicity:  0.699 Rat Oral Acute Toxicity:  0.486
Maximum Recommended Daily Dose:  0.514 Skin Sensitization:  0.5
Carcinogencity:  0.8 Eye Corrosion:  0.03
Eye Irritation:  0.946 Respiratory Toxicity:  0.676
Drug-induced Neurotoxicity:  0.643 Ototoxicity:  0.359
Hematotoxicity:  0.461 Drug-induced Nephrotoxicity:  0.525
Genotoxicity:  0.61 RPMI-8226 Immunitoxicity:  0.132
A549 Cytotoxicity:  0.226 Hek293 Cytotoxicity:  0.481
BCF:   1.103
?
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:   3.625
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.624
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.979
?
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
NPO2715 Murraya paniculata Species Rutaceae Eukaryota n.a. leaf n.a. PMID[24354205]
NPO2715 Murraya paniculata Species Rutaceae Eukaryota n.a. twig n.a. PMID[24354205]
NPO2715 Murraya paniculata Species Rutaceae Eukaryota n.a. n.a. n.a. PMID[34964904]
NPO2715 Murraya paniculata Species Rutaceae Eukaryota n.a. n.a. n.a. PMID[36529712]
NPO2715 Murraya paniculata Species Rutaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO2715 Murraya paniculata Species Rutaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO2715 Murraya paniculata Species Rutaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO2715 Murraya paniculata Species Rutaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO2715 Murraya paniculata Species Rutaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO2715 Murraya paniculata Species Rutaceae 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
NPT2749 Individual protein Acetylcholinesterase Rattus norvegicus IC50 = 112.0 nM DOI[10.1007/s00044-012-0162-3]

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 NPC599987 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
0.6792 Remote Similarity NPC486095
0.6531 Remote Similarity NPC99854
0.6429 Remote Similarity NPC474836
0.6316 Remote Similarity NPC236637
0.6071 Remote Similarity NPC112246
0.5741 Remote Similarity NPC225153
0.5741 Remote Similarity NPC479876
0.5714 Remote Similarity NPC156057
0.5645 Remote Similarity NPC477840
0.5517 Remote Similarity NPC474208
0.5455 Remote Similarity NPC35038
0.5455 Remote Similarity NPC188243
0.5455 Remote Similarity NPC110228
0.5439 Remote Similarity NPC99597
0.5439 Remote Similarity NPC329203
0.5439 Remote Similarity NPC222342
0.5417 Remote Similarity NPC236934
0.5345 Remote Similarity NPC102904
0.5345 Remote Similarity NPC103976
0.5345 Remote Similarity NPC210084
0.5286 Remote Similarity NPC206378
0.5273 Remote Similarity NPC265871
0.5273 Remote Similarity NPC205093
0.5263 Remote Similarity NPC150648
0.5254 Remote Similarity NPC18727
0.5088 Remote Similarity NPC6407
0.5088 Remote Similarity NPC545184
0.5088 Remote Similarity NPC611253
0.5085 Remote Similarity NPC306441
0.5068 Remote Similarity NPC488550

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC599987 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