Natural Product: NPC548359

Natural Product IDNPC548359
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.
Methyl (2r)-4-(1h-indol-3-yl)-2-methylbutanoate
IUPAC Name methyl (2~{R})-4-(1~{H}-indol-3-yl)-2-methyl-butanoate
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 OSINFMIOMWBGDS-SNVBAGLBSA-N
Standard InCHI InChI=1S/C14H17NO2/c1-10(14(16)17-2)7-8-11-9-15-13-6-4-3-5-12(11)13/h3-6,9-10,15H,7-8H2,1-2H3/t10-/m1/s1
SMILES COC(=O)[C@H](C)CCC1=CNC2=CC=CC=C12

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   231.13 Volume:   248.982
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Van der Waals volume.
Dense:   0.928 LogP:   3.089
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.942
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.41
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The logarithm of aqueous solubility value.
Rotatable Bonds:   5.0 Rigid Bonds:   11.0
TPSA:   42.09
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Topological Polar Surface Area.
H-Bond Acceptor:   3.0
H-Bond Donor:   1.0 Rings:   2.0
Heavy Atoms:   3.0

MedChem Properties

QED Drug-Likeness Score:   0.822 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   2.452 Fsp3:   0.357
MCE-18:   22.0
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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:   Rejected
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.047 Fluc inhibitor:   0.174
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.103
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.225
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.073 Promiscuous compounds:   0.64

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.834 MDCK Permeability:   -4.376
Pgp-inhibitor:   0.839 Pgp-substrate:   0.324
PAMPA:   0.068
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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):   0.009
20% Bioavailability (F20%):   0.256 30% Bioavailability (F30%):   0.739
50% Bioavailability (F50%):   0.844

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.29 MRP1:   0.756
Plasma Protein Binding (PPB):   83.042% Volume Distribution (VD):   0.194
Fu: 18.639%
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The fraction unbound in plasms.
OATP1B1 inhibitor:   0.905
OATP1B3 inhibitor:   0.898 BCRP inhibitor:   0.687
BSEP inhibitor:   0.987

ADMET: Metabolism

CYP1A2-inhibitor:   0.048 CYP1A2-substrate:   0.998
CYP2C19-inhibitor:   0.013 CYP2C19-substrate:   0.928
CYP2C9-inhibitor:   0.005 CYP2C9-substrate:   0.011
CYP2D6-inhibitor:   0.346 CYP2D6-substrate:   0.754
CYP3A4-inhibitor:   0.999 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.065 CYP2C8-inhibitor:   1.0
HLM stability:   0.935
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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):  7.707 Half-life (T1/2):  0.356

ADMET: Toxicity

hERG Blockers:  0.209 hERG Blockers (10um):  0.545
Human Hepatotoxicity (H-HT):  0.713 Drug-induced Liver Injury (DILI):  0.587
AMES Toxicity:  0.58 Rat Oral Acute Toxicity:  0.498
Maximum Recommended Daily Dose:  0.663 Skin Sensitization:  0.705
Carcinogencity:  0.571 Eye Corrosion:  0.103
Eye Irritation:  0.872 Respiratory Toxicity:  0.736
Drug-induced Neurotoxicity:  0.784 Ototoxicity:  0.456
Hematotoxicity:  0.447 Drug-induced Nephrotoxicity:  0.566
Genotoxicity:  0.393 RPMI-8226 Immunitoxicity:  0.063
A549 Cytotoxicity:  0.158 Hek293 Cytotoxicity:  0.235
BCF:   0.888
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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:   3.5
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.969
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.431
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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
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

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 NPC548359 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 NPC200214
0.7143 Intermediate Similarity NPC600736
0.6531 Remote Similarity NPC310665
0.6038 Remote Similarity NPC605329
0.5636 Remote Similarity NPC480551
0.5614 Remote Similarity NPC480550
0.5614 Remote Similarity NPC480549
0.5593 Remote Similarity NPC480548
0.5532 Remote Similarity NPC601214
0.5439 Remote Similarity NPC469358
0.54 Remote Similarity NPC138370
0.54 Remote Similarity NPC279081
0.5357 Remote Similarity NPC489200
0.5323 Remote Similarity NPC474561
0.5294 Remote Similarity NPC29886
0.5254 Remote Similarity NPC602670
0.52 Remote Similarity NPC96102
0.5172 Remote Similarity NPC608269
0.5098 Remote Similarity NPC230869
0.5091 Remote Similarity NPC78020

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC548359 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
0.5714 Remote Similarity NPD1722 Phase 4
0.5283 Remote Similarity NPD786 Pre-clinical
0.52 Remote Similarity NPD198 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